Uncovered behaviors: benign_extra

Activate my credit card promos

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{"dispatch_id": "toolu_01NjU8cynsRjbhhf58qbMURG", "elapsed": 0.004313103, "error": "", "result": {"address": "_system/activating-card-promos", "content": "# Activating credit card promos\n\nHow to handle a request to find and activate credit card promotions.\n\n## Before spinning up browser\n\n- Search emails and memory for credit card accounts.\n- Search emails and memory for promos already known: targeted offer emails, \"activate your bonus categories\", welcome offer terms, statement credit notices, and anything the user has already activated so it is not reported twice.\n\n## Identifying promos\n\n- On each issuer, enumerate every promo surface, not just the offers tab: card-linked merchant offers (Amex Offers, Chase Offers, Citi Merchant Offers, Bank of America Deals, Capital One Offers, etc.), rotating quarterly bonus categories, welcome offer spend requirements and their deadline, recurring statement credits (dining, travel, streaming, rideshare), annual-fee credits that reset, points transfer or shopping-portal promos, and promotional APR or balance transfer offers.\n- For each promo, summarize the card, merchant or category, reward, minimum spend, earn cap, activation deadline, redemption window, and whether it is one-time or repeatable. Provide the summary grouped by card, sorted by expiring soonest, with the promos that need action separated from the ones already live.\n- Flag anything that costs money, such as a promo requiring a jump in spending, a balance transfer with a transfer fee, a promo APR that reverts, or a credit that only applies to a plan the user does not have.\n\n## Activating promos\n\n- Offer relevant accounts to log in to activate for the user in browser\n- Activate directly in the issuer's own account or app rather than any third-party aggregator or emailed link.\n- Read the terms before activating: enrollment deadline, spend window, whether the card must be used at checkout (not a wallet or a gift card), whether online and in-store both count, exclusions on third-party delivery apps, and whether activation is per-card rather than per-account.\n- Where activation is one tap per offer, activate every relevant one in a single pass and count them, since issuers frequently cap how many can be active. Where there are limits, prioritize any merchants that the user has previously purchased from, and comparable products and services.\n- For quarterly bonus categories, activate for the current quarter and note the date the next quarter opens.\n- Activate free offers, but never accept a promotional APR, balance transfer, plan enrollment, paid upgrade, or product change without explicit confirmation.\n- Never open a new card, request a credit line change, or take a cash advance on the user's behalf.\n- Treat anything that affects the user's credit report or interest rate as a decision for them, and present the numbers rather than a recommendation to act.\n\n## After activation\n\n- Report what was activated per card: promo, reward, spend needed, deadline, and the total value now sitting available.\n- Create a scheduled task a few days before each spend deadline to check whether the spend condition has been met, and report only when something is still unearned and still winnable.\n- Create a scheduled task for the day a statement credit resets or a quarterly category window opens, to activate the next round.\n- If the user stops responding mid-flow, follow up in 24 hours, and sooner if an activation deadline is closer than that.\n\nFollow these instructions as your guide. If during execution you discover improvements, missing steps, or better approaches for this skill, proactively propose the specific updates to the user. Use the skill tool's create/edit actions to save improvements.", "resolved_from": null, "success": true}, "status": "completed", "tool_name": "skill"}

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{"dispatch_id": "toolu_01XKp7GRiwAsAqKKuCq6tfxU", "elapsed": 0.008150456, "error": "", "result": {"address": "_system/gws-gmail", "content": "# gws — Shared Reference\n\n## Authentication\n\nPass `credentials: [{\"provider\": \"google\", \"email\": \"user@example.com\"}]` when calling the `shell` tool. `GOOGLE_WORKSPACE_CLI_TOKEN` is set to the placeholder `proxy-managed`, which satisfies `gws`'s own check that it has a token; the real one is added to the request by the identity-gateway on the wire. No manual login or service-account setup is needed, and the value in that variable is never a credential.\n\n```json\n{\n \"command\": \"gws gmail users messages list --params '{\\\"userId\\\": \\\"me\\\", \\\"maxResults\\\": 5}'\",\n \"credentials\": [{ \"provider\": \"google\", \"email\": \"user@example.com\" }]\n}\n```\n\n## Multiple Google Accounts\n\nWhen the user has more than one Google account connected, pass the target email in\n`credentials` on the `shell` tool call. That resolves the correct OAuth token via a\nlive database lookup:\n\n```json\n{ \"credentials\": [{ \"provider\": \"google\", \"email\": \"work@example.com\" }] }\n```\n\n`gws` has no `--account` flag. The injected token determines the account, so do\nnot add a second account selector to the command.\n\n## Global Flags\n\n| Flag | Description |\n| ----------------------- | --------------------------------------------------------- |\n| `--format <FORMAT>` | Output format: `json` (default), `table`, `yaml`, `csv` |\n| `--dry-run` | Validate raw API requests locally; helper behavior varies |\n| `--sanitize <TEMPLATE>` | Screen responses through Model Armor |\n\n## CLI Syntax\n\n```bash\ngws <service> <resource> [sub-resource ...] <method> [flags]\n```\n\nWhen a JSON string value contains apostrophes, such as a Drive `q` expression,\nuse a double-quoted shell argument and escape the JSON double quotes. Do not put\nthe whole JSON object in single shell quotes, because the apostrophes would end\nthat argument early:\n\n```bash\ngws drive files list --params \"{\\\"q\\\":\\\"name contains 'Project Brief' and trashed=false\\\"}\"\n```\n\n### Method Flags\n\n| Flag | Description |\n| --------------------------- | --------------------------------------------- |\n| `--params '{\"key\": \"val\"}'` | URL/query parameters |\n| `--json '{\"key\": \"val\"}'` | Request body |\n| `-o, --output <PATH>` | Save binary responses to file |\n| `--upload <PATH>` | Upload file content (multipart) |\n| `--page-all` | Auto-paginate (NDJSON output) |\n| `--page-limit <N>` | Max pages when using --page-all (default: 10) |\n| `--page-delay <MS>` | Delay between pages in ms (default: 100) |\n\n## Composing Calls (capture-then-use, for writes/sends)\n\nWhen the **second** call is a write or send — `documents.batchUpdate`, `spreadsheets.batchUpdate`, `events.insert/update/patch`, `messages.send`, `files.create/update/delete`, etc. — and it depends on a value returned by an earlier call, run them as **two separate shell tool invocations**, not bundled in one bash block.\n\n1. First shell call: run the lookup, read its stdout in your reasoning.\n2. Second shell call: pass the literal value into the write/send flag.\n\n**Don't** do this in one shell call:\n\n```bash\nDOC_ID=$(gws docs documents create --json '{\"title\":\"x\"}' | jq -r .documentId)\ngws docs documents batchUpdate --params \"{\\\"documentId\\\":\\\"$DOC_ID\\\"}\" --json '...'\n```\n\n**Do this** (two separate shell tool calls):\n\n```bash\n# call 1\ngws docs documents create --json '{\"title\":\"x\"}'\n# (reasoning step: read the documentId from stdout, e.g. \"1AbCdEfGh...\")\n# call 2\ngws docs documents batchUpdate --params '{\"documentId\":\"1AbCdEfGh...\"}' --json '...'\n```\n\n## Rules\n\n- **Never** output secrets (API keys, tokens) directly\n- Prefer `--dry-run` for raw API writes. Before dry-running a helper, inspect its\n skill and `--help`: helpers may authenticate or perform setup first, and\n `gmail +watch` is explicitly unsafe to dry-run.\n- Use `--sanitize` for PII/content safety screening\n- Inspect failures and try alternate reads, filters, or resources when safe. Never\n repeat a write or send after an ambiguous outcome; verify whether it succeeded first.\n- **Be proactive, not inquisitive.** Gather context yourself before asking the user. Propose concrete actions rather than asking open-ended questions.\n\n---\n\n# Availability — Shared Reference\n\n## Read the calendar before you state availability\n\nOffering, confirming, or declining a time on the user's behalf is a claim about\ntheir calendar. Read the calendar before writing that claim — not afterwards,\nand not only when you are creating the event.\n\nThis applies to outbound content, not just event creation:\n\n- a reply that offers windows (\"I have Tuesday 10–12 open\")\n- a message that accepts or declines a time someone else proposed\n- a summary that tells the user when they are free\n\nWriting any of these without a calendar read is a guess, and it reaches the\nrecipient as a commitment.\n\n## Reading it\n\n```bash\n# The user's own day. --today / --tomorrow / --week / --days N — there is no --date.\ngws calendar +agenda --tomorrow\n\n# An arbitrary window. Note the resource path is `events`, with no `users` prefix.\ngws calendar events list --params '{\"calendarId\":\"primary\",\"timeMin\":\"2026-08-11T00:00:00-07:00\",\"timeMax\":\"2026-08-12T00:00:00-07:00\",\"singleEvents\":true,\"orderBy\":\"startTime\"}'\n\n# Other attendees, before proposing a slot to them.\ngws calendar freebusy query --json '{\"timeMin\":\"2026-08-11T15:00:00Z\",\"timeMax\":\"2026-08-12T01:00:00Z\",\"items\":[{\"id\":\"someone@example.com\"}]}'\n```\n\nThen offer only the times you actually saw free. If the calendar call fails,\nsay so and ask the user — do not fall back to a guessed window.\n\n## See Also\n\n- [gws-calendar](../gws-calendar/SKILL.md) — full calendar API surface\n- [gws-calendar-agenda](../gws-calendar-agenda/SKILL.md) — `+agenda` flags in full\n- [recipe-find-free-time](../recipe-find-free-time/SKILL.md) — free/busy across several people\n\n---\n\n# gmail (v1)\n\n```bash\ngws gmail users [sub-resource ...] <method> [flags]\n```\n\n## Helper Commands\n\n| Command | Description |\n| ----------------------------------------------- | -------------------------------------------------------------- |\n| [`+send`](../gws-gmail-send/SKILL.md) | Send an email immediately |\n| [draft](../gws-gmail-draft/SKILL.md) | Create a draft email — saved, not sent |\n| [`+triage`](../gws-gmail-triage/SKILL.md) | Show unread inbox summary (sender, subject, date) |\n| [`+reply`](../gws-gmail-reply/SKILL.md) | Reply to a message (handles threading automatically) |\n| [`+reply-all`](../gws-gmail-reply-all/SKILL.md) | Reply-all to a message (handles threading automatically) |\n| [`+forward`](../gws-gmail-forward/SKILL.md) | Forward a message to new recipients |\n| `+read` | Read a message and extract its body or headers |\n| `+watch` | Stream new messages using Gmail push notifications and Pub/Sub |\n\n`gws gmail +watch --dry-run` is unsafe in pinned `gws` v0.22.5: it attempts Gmail authentication and Pub/Sub topic setup before honoring `--dry-run`. Use `gws gmail +watch --help` for planning. Run `+watch` only when the user requests a live watch and approves the persistent Pub/Sub resources.\n\n## The user's signature\n\nGmail adds a signature in its own compose window, not on the server, so a message\nsent through `gws` — helper or raw API — arrives without the one the user set in\nGmail's settings. Read it once per conversation and put it on every message you\nsend, reply to, or draft on their behalf:\n\n```bash\ngws gmail users settings sendAs list --params '{\"userId\":\"me\"}'\n```\n\nTake `signature` (HTML) from the alias the mail goes out as: the entry whose\n`sendAsEmail` matches the account, otherwise the one with `\"isDefault\": true`. An\nempty string means the account has no signature — send without one. Append it\nbelow the body with `--html`, verbatim: never retype, reword, or reformat it, and\nnever add a second copy when the message you are replying to already quotes one.\n\nThis needs no extra permission. `gmail.modify`, which the Google connector already\ngrants, covers `settings.sendAs.list`.\n\n## Message and thread ids\n\nA send returns `id`, `threadId`, and `labelIds`. Those address the next call —\nthreading a reply, labelling what was just sent — and mean nothing to the user.\nNever read one back to them; name the mail by its subject and recipient.\n\n### Passing message ids between commands\n\nWhen extracting a message id from JSON for another API call, use `jq -r`,\nnot `jq` or `jq -c`. Non-raw output keeps the JSON quote characters, so Gmail\nreceives the quotes as part of the id and rejects the request with HTTP 400. An\nid is plain hex, so once extracted it can sit inside the next `--params` JSON\ndirectly; anything free-form (a search query, a subject) goes through\n`jq --arg` instead of being interpolated:\n\n```bash\nmessage_id=$(gws gmail users messages list --params '{\"userId\":\"me\",\"q\":\"is:unread\",\"maxResults\":1}' | jq -r '.messages[0].id')\ngws gmail users messages get --params '{\"userId\":\"me\",\"id\":\"'\"$message_id\"'\",\"format\":\"metadata\"}'\n```\n\n## Reading many messages\n\nEvery `gws` process opens its own connection through the identity gateway and\nlooks up the credential again, so a shell loop that runs one process per message\nspends most of its time on connection setup. A sweep over a few hundred messages\ntakes minutes that way. Start each scan in an empty directory, so nothing from an\nearlier or interrupted scan leaks into this one, and read in bulk:\n\n1. **Headers for a whole query in one process.** `+triage` lists the matches\n and fetches sender, subject, and date for all of them concurrently, keyed by\n `id`. It takes any Gmail search, not just `is:unread`, and `--max` goes up to 500. Write each query to its own file with `>`, never `>>`, so a rerun\n replaces the result instead of appending to it:\n\n```bash\ngws gmail +triage --query 'from:instacart.com newer_than:1y' --max 200 --format json | jq -c '.[]' > hits_instacart.jsonl\ngws gmail +triage --query 'subject:(receipt OR \"order confirmation\") newer_than:1y' --max 200 --format json | jq -c '.[]' > hits_receipts.jsonl\n```\n\n2. **Dedupe across queries before any per-message call.** Overlapping searches\n return the same message under each of them. Keep each id once, so nothing\n downstream fetches a message twice:\n\n```bash\njq -rs 'unique_by(.id) | .[].id' hits_*.jsonl > ids.txt\n```\n\n3. **Bodies once each, in parallel, from a script file.** `messages get`\n returns one message per call, so run the calls concurrently (8 at a time\n stays inside Gmail's per-user burst limit) and save each body to a file.\n Later questions are answered with `grep` and `jq` over the files, never by\n fetching again:\n\n```bash\n# getbody.sh: the full message for the id in $1, saved as bodies/<id>.json\nmkdir -p bodies\ngws gmail users messages get --params '{\"userId\":\"me\",\"id\":\"'\"$1\"'\",\"format\":\"full\"}' | jq -c . > \"bodies/$1.json\"\n```\n\n```bash\nxargs -P 8 -n 1 bash getbody.sh < ids.txt\n```\n\nDo not run `messages get` in a `while read` loop, one message at a time, for\nheaders or for bodies: `+triage` already covers headers, and bodies belong in\nthe parallel script above.\n\n## API Resources\n\n### users\n\n- `getProfile` — Gets the current user's Gmail profile.\n- `stop` — Stop receiving push notifications for the given user mailbox.\n- `watch` — Set up or update a push notification watch on the given user mailbox.\n- `drafts` — Operations on the 'drafts' resource\n- `history` — Operations on the 'history' resource\n- `labels` — Operations on the 'labels' resource\n- `messages` — Operations on the 'messages' resource\n- `settings` — Operations on the 'settings' resource\n- `threads` — Operations on the 'threads' resource\n\n## Discovering Commands\n\nBefore calling any API method, inspect it:\n\n```bash\n# Browse resources and methods\ngws gmail --help\n\n# Inspect a method's required params, types, and defaults\ngws schema gmail.users[.<sub-resource>...].<method>\n```\n\nUse the method schema output to build your `--params` and `--json` flags.\n\n## Available skills\n\n- `_system/gws-gmail-send` gws-gmail-send: Gmail: Send an email.\n- `_system/gws-gmail-draft` gws-gmail-draft: Gmail: Create a draft email — saved, never sent.\n- `_system/gws-gmail-triage` gws-gmail-triage: Gmail: Show unread inbox summary (sender, subject, date).\n- `_system/gws-gmail-reply` gws-gmail-reply: Gmail: Reply to a message (handles threading automatically).\n- `_system/gws-gmail-reply-all` gws-gmail-reply-all: Gmail: Reply-all to a message (handles threading automatically).\n- `_system/gws-gmail-forward` gws-gmail-forward: Gmail: Forward a message to new recipients.\n- `_system/recipe-email-drive-link` recipe-email-drive-link: Share a Google Drive file and email the link with a message to recipients.\n- `_system/recipe-save-email-attachments` recipe-save-email-attachments: Find Gmail messages with attachments and save them to a Google Drive folder.\n- `_system/recipe-draft-email-from-doc` recipe-draft-email-from-doc: Read content from a Google Doc and use it as the body of a Gmail message.\n- `_system/recipe-label-and-archive-emails` recipe-label-and-archive-emails: Apply Gmail labels to matching messages and archive them to keep your inbox clean.\n- `_system/recipe-save-email-to-doc` recipe-save-email-to-doc: Save a Gmail message body into a Google Doc for archival or reference.\n- `_system/recipe-create-vacation-responder` recipe-create-vacation-responder: Enable a Gmail out-of-office auto-reply with a custom message and date range.\n\nIf one clearly applies, load it with the skill tool by its address, then follow its instructions.\n\nFollow these instructions as your guide. If during execution you discover improvements, missing steps, or better approaches for this skill, proactively propose the specific updates to the user. Use the skill tool's create/edit actions to save improvements.", "resolved_from": null, "success": true}, "status": "completed", "tool_name": "skill"}

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{"dispatch_id": "toolu_01DxywBkEuwLRRBRKTUdgFBz", "elapsed": 1.540468258, "error": "", "result": "Delivered (confirmed) as 1 message. Your draft was polished into texting register, so the wording differs from what you wrote; this is exactly what the user sees:\n1) Which issuers are we talking about, Chase, Amex, Citi, BofA, Capital One, or Discover? I’ll get you signed in to each and activate everything free in one pass.\nThese are your words now, and this is the whole reply: the delivery layer chose its density and shape by design. Never dispute, re-explain, or apologize for the phrasing, and never send a supplement to restore detail it left out. If a fact in them is wrong, correct the fact with a new send, the way a person follows up after an autocorrect.\n\nYour turn continues.\nanswers: 179da2a5-d5ab-4c12-b73c-6262a663aaab", "status": "completed", "tool_name": "send_message"}

Which issuers are we talking about, Chase, Amex, Citi, BofA, Capital One, or Discover? I’ll get you signed in to each and activate everything free in one pass.

Book me a doctor's appointment

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{"dispatch_id": "toolu_019n7BAXhNi554RcohffC7Gj", "elapsed": 0.005388084, "error": "", "result": {"address": "_system/booking-doctor-appointments", "content": "# Booking a doctor appointment\n\nHow to handle a request to find a doctor or book a medical appointment.\n\n## Before spinning up browser\n\n- If the user does not prompt a specific location, ask if they want the close to one of their saved locations like home or office.\n- If the type of doctor or specialty is not specified, ask what type of doctor they are looking for.\n- Search email and memory for any reference of what insurance plan they are affiliated with\n- If there is no insurance plan found, prompt the user to provide a specific insurance plan. If the user does not know their insurance plan and you identify a benefits portal, ask if you should login and check into their benefits portal\n\n## Finding options\n\n- Search the internet broadly and the user's insurance provider directory in parallel. Use the broad internet search to identify well-reviewed doctors and the insurance directory to identify doctors that appear to be in-network.\n- Prioritize doctors based on proximity to the user's preferred location, reviews, whether they are in-network for the user's specific insurance plan, expected copay or visit cost when available, and appointment availability.\n- Do not assume a doctor that accepts an insurance company generally is in-network for the user's specific plan.\n- When available, identify whether each doctor is accepting new patients.\n- For each doctor, surface their first available appointment so the user can compare how soon they can be seen.\n- Present a small number of strong options with doctor name, specialty, practice, location, distance or travel time, reviews, in-network status, expected copay or visit cost when available, and first available appointment.\n- Prioritize the doctor that is closer, better reviewed, in-network, and available sooner.\n\n## Confirming insurance\n\n- If the user wants additional confirmation that a doctor is covered, find the practice's billing phone number or billing email.\n- Ask whether the user wants to book based on the available insurance information or wait for the billing department to confirm coverage.\n- If the user wants to call, provide the billing department's phone number.\n- If the user wants to email, draft an email asking whether the specific doctor is in-network for the user's insurance plan and what copay or expected patient cost applies to the visit.\n- Only send the email after confirming with the user\n\n## Booking an appointment\n\n- If the user wants selects a doctor, check their calendar for available times before asking them to provide availability manually.\n- Infer the user's typical working hours from calendar, email, Slack, or other available context when possible and prioritize appointments outside of those hours.\n- If the user's availability cannot be confidently inferred, ask what days or times they prefer.\n- Compare the user's availability with the doctor's available appointments and offer the best matching times, including the first available appointment if it works for the user.\n- Before booking, confirm the doctor, office location, appointment date and time, insurance plan, in-network status based on available information, and expected copay or visit cost when available.\n- Book the appointment only after the user confirms the specific time.\n- If that appointment becomes unavailable, do not automatically choose another time. Offer the closest available alternatives.\n\n## After booking an appointment\n\n- Add the appointment to the user's Google Calendar with the doctor's name, practice, office address, appointment date and time, phone number, and confirmation details. Add a reminder to bring the user's insurance card and anything else specifically requested by the doctor's office.\n- Create a scheduled task for the day of the appointment reminding the user of the appointment and providing directions and estimated travel time to the doctor's office. Tell the user when they should leave based on the appointment time and anticipated travel time on the day of the appointment\n\nFollow these instructions as your guide. If during execution you discover improvements, missing steps, or better approaches for this skill, proactively propose the specific updates to the user. Use the skill tool's create/edit actions to save improvements.", "resolved_from": null, "success": true}, "status": "completed", "tool_name": "skill"}

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{"dispatch_id": "toolu_01GoCeBjmhWaATrToUwR3dVi", "elapsed": 0.145395495, "error": "", "result": {"results": [{"citation": "seg://53493940", "score": 1, "snippet": "On September 4, 2026, the user asked Hark to book a doctor’s appointment; the appointment was not booked. The user also asked for Levi’s Stadium events in October and November 2026, and Hark identified six official-calendar events: Broncos vs. 49ers on October 4, Bruno Mars on October 10 and 11, Commanders vs. 49ers on October 19, Raiders vs. 49ers on November 8, and Seahawks vs. 49ers on November 29. The user then asked Hark to create a high-protein meal plan and arrange Walmart delivery; the task was started but not completed.", "source": "episode", "subject": "September 4, 2026 Requests: Doctor, Levi’s Stadium, and Walmart Meal Plan", "summary": "Hark completed the Levi’s Stadium event lookup for October–November 2026. The doctor appointment and Walmart high-protein meal-plan delivery requests remained incomplete.", "timestamp": "2026-09-04 5:27 PM PDT (UTC-07:00)"}, {"citation": "seg://35c964ae", "confidence": "high", "score": 0.6, "segment_id": "35c964ae-dd25-5867-bc56-6174d8652b2d", "snippet": "The user is planning a Tokyo trip for September 11–13, 2026, spanning Friday through Sunday.", "source": "fact", "timestamp": "2026-09-04 10:07 AM PDT (UTC-07:00)"}, {"citation": "seg://139b3f9d", "score": 0.2262, "snippet": "On September 4, 2026, the assistant delivered the user’s meal-planning questions as one confirmed message: how many days and people to plan for, which foods the recipient avoids or is allergic to, and whether the recipient has a daily protein target. The draft was polished into texting register, and the assistant finalized the run after no further reply was needed.", "source": "episode", "subject": "Meal-planning questions delivered", "summary": "The meal-planning intake questions were successfully delivered in polished texting form. The interaction was then marked complete.", "timestamp": "2026-09-04 10:26 AM PDT (UTC-07:00)"}, {"citation": "seg://ae7ac6d2", "score": 0.192, "snippet": "On September 4, 2026, the user asked for Levi’s Stadium events in October and November 2026. Hark identified six events from the official calendar: Denver Broncos vs. 49ers on October 4; Bruno Mars: The Romantic Tour on October 10 and 11; Washington Commanders vs. 49ers on October 19; Las Vegas Raiders vs. 49ers on November 8 at 1:05 p.m.; and Seattle Seahawks vs. 49ers on November 29 at 1:25 p.m. The user then requested gluten-free chicken pad thai, green curry with tofu, and french fries through DoorDash; Hark began searching for a suitable restaurant but the task was canceled before checkout and no order was placed. Later, the user requested a high-protein meal plan with Walmart delivery. Hark asked for the number of days and people, food restrictions or allergies, and a daily protein target before proceeding.", "source": "episode", "subject": "Levi’s Stadium Events and Meal Delivery Requests", "summary": "Hark completed the Levi’s Stadium October–November 2026 event lookup. Two food-delivery requests remained incomplete: the DoorDash task was canceled before ordering, and the Walmart meal-plan request awaited the user’s planning details.", "timestamp": "2026-09-04 10:17 AM PDT (UTC-07:00)"}]}, "status": "completed", "tool_name": "memory"}

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{"dispatch_id": "toolu_01FkXZtQaRHreH2q1YoSrHm6", "elapsed": 0.010372823, "error": "", "result": {"address": "_system/gws-gmail", "content": "# gws — Shared Reference\n\n## Authentication\n\nPass `credentials: [{\"provider\": \"google\", \"email\": \"user@example.com\"}]` when calling the `shell` tool. `GOOGLE_WORKSPACE_CLI_TOKEN` is set to the placeholder `proxy-managed`, which satisfies `gws`'s own check that it has a token; the real one is added to the request by the identity-gateway on the wire. No manual login or service-account setup is needed, and the value in that variable is never a credential.\n\n```json\n{\n \"command\": \"gws gmail users messages list --params '{\\\"userId\\\": \\\"me\\\", \\\"maxResults\\\": 5}'\",\n \"credentials\": [{ \"provider\": \"google\", \"email\": \"user@example.com\" }]\n}\n```\n\n## Multiple Google Accounts\n\nWhen the user has more than one Google account connected, pass the target email in\n`credentials` on the `shell` tool call. That resolves the correct OAuth token via a\nlive database lookup:\n\n```json\n{ \"credentials\": [{ \"provider\": \"google\", \"email\": \"work@example.com\" }] }\n```\n\n`gws` has no `--account` flag. The injected token determines the account, so do\nnot add a second account selector to the command.\n\n## Global Flags\n\n| Flag | Description |\n| ----------------------- | --------------------------------------------------------- |\n| `--format <FORMAT>` | Output format: `json` (default), `table`, `yaml`, `csv` |\n| `--dry-run` | Validate raw API requests locally; helper behavior varies |\n| `--sanitize <TEMPLATE>` | Screen responses through Model Armor |\n\n## CLI Syntax\n\n```bash\ngws <service> <resource> [sub-resource ...] <method> [flags]\n```\n\nWhen a JSON string value contains apostrophes, such as a Drive `q` expression,\nuse a double-quoted shell argument and escape the JSON double quotes. Do not put\nthe whole JSON object in single shell quotes, because the apostrophes would end\nthat argument early:\n\n```bash\ngws drive files list --params \"{\\\"q\\\":\\\"name contains 'Project Brief' and trashed=false\\\"}\"\n```\n\n### Method Flags\n\n| Flag | Description |\n| --------------------------- | --------------------------------------------- |\n| `--params '{\"key\": \"val\"}'` | URL/query parameters |\n| `--json '{\"key\": \"val\"}'` | Request body |\n| `-o, --output <PATH>` | Save binary responses to file |\n| `--upload <PATH>` | Upload file content (multipart) |\n| `--page-all` | Auto-paginate (NDJSON output) |\n| `--page-limit <N>` | Max pages when using --page-all (default: 10) |\n| `--page-delay <MS>` | Delay between pages in ms (default: 100) |\n\n## Composing Calls (capture-then-use, for writes/sends)\n\nWhen the **second** call is a write or send — `documents.batchUpdate`, `spreadsheets.batchUpdate`, `events.insert/update/patch`, `messages.send`, `files.create/update/delete`, etc. — and it depends on a value returned by an earlier call, run them as **two separate shell tool invocations**, not bundled in one bash block.\n\n1. First shell call: run the lookup, read its stdout in your reasoning.\n2. Second shell call: pass the literal value into the write/send flag.\n\n**Don't** do this in one shell call:\n\n```bash\nDOC_ID=$(gws docs documents create --json '{\"title\":\"x\"}' | jq -r .documentId)\ngws docs documents batchUpdate --params \"{\\\"documentId\\\":\\\"$DOC_ID\\\"}\" --json '...'\n```\n\n**Do this** (two separate shell tool calls):\n\n```bash\n# call 1\ngws docs documents create --json '{\"title\":\"x\"}'\n# (reasoning step: read the documentId from stdout, e.g. \"1AbCdEfGh...\")\n# call 2\ngws docs documents batchUpdate --params '{\"documentId\":\"1AbCdEfGh...\"}' --json '...'\n```\n\n## Rules\n\n- **Never** output secrets (API keys, tokens) directly\n- Prefer `--dry-run` for raw API writes. Before dry-running a helper, inspect its\n skill and `--help`: helpers may authenticate or perform setup first, and\n `gmail +watch` is explicitly unsafe to dry-run.\n- Use `--sanitize` for PII/content safety screening\n- Inspect failures and try alternate reads, filters, or resources when safe. Never\n repeat a write or send after an ambiguous outcome; verify whether it succeeded first.\n- **Be proactive, not inquisitive.** Gather context yourself before asking the user. Propose concrete actions rather than asking open-ended questions.\n\n---\n\n# Availability — Shared Reference\n\n## Read the calendar before you state availability\n\nOffering, confirming, or declining a time on the user's behalf is a claim about\ntheir calendar. Read the calendar before writing that claim — not afterwards,\nand not only when you are creating the event.\n\nThis applies to outbound content, not just event creation:\n\n- a reply that offers windows (\"I have Tuesday 10–12 open\")\n- a message that accepts or declines a time someone else proposed\n- a summary that tells the user when they are free\n\nWriting any of these without a calendar read is a guess, and it reaches the\nrecipient as a commitment.\n\n## Reading it\n\n```bash\n# The user's own day. --today / --tomorrow / --week / --days N — there is no --date.\ngws calendar +agenda --tomorrow\n\n# An arbitrary window. Note the resource path is `events`, with no `users` prefix.\ngws calendar events list --params '{\"calendarId\":\"primary\",\"timeMin\":\"2026-08-11T00:00:00-07:00\",\"timeMax\":\"2026-08-12T00:00:00-07:00\",\"singleEvents\":true,\"orderBy\":\"startTime\"}'\n\n# Other attendees, before proposing a slot to them.\ngws calendar freebusy query --json '{\"timeMin\":\"2026-08-11T15:00:00Z\",\"timeMax\":\"2026-08-12T01:00:00Z\",\"items\":[{\"id\":\"someone@example.com\"}]}'\n```\n\nThen offer only the times you actually saw free. If the calendar call fails,\nsay so and ask the user — do not fall back to a guessed window.\n\n## See Also\n\n- [gws-calendar](../gws-calendar/SKILL.md) — full calendar API surface\n- [gws-calendar-agenda](../gws-calendar-agenda/SKILL.md) — `+agenda` flags in full\n- [recipe-find-free-time](../recipe-find-free-time/SKILL.md) — free/busy across several people\n\n---\n\n# gmail (v1)\n\n```bash\ngws gmail users [sub-resource ...] <method> [flags]\n```\n\n## Helper Commands\n\n| Command | Description |\n| ----------------------------------------------- | -------------------------------------------------------------- |\n| [`+send`](../gws-gmail-send/SKILL.md) | Send an email immediately |\n| [draft](../gws-gmail-draft/SKILL.md) | Create a draft email — saved, not sent |\n| [`+triage`](../gws-gmail-triage/SKILL.md) | Show unread inbox summary (sender, subject, date) |\n| [`+reply`](../gws-gmail-reply/SKILL.md) | Reply to a message (handles threading automatically) |\n| [`+reply-all`](../gws-gmail-reply-all/SKILL.md) | Reply-all to a message (handles threading automatically) |\n| [`+forward`](../gws-gmail-forward/SKILL.md) | Forward a message to new recipients |\n| `+read` | Read a message and extract its body or headers |\n| `+watch` | Stream new messages using Gmail push notifications and Pub/Sub |\n\n`gws gmail +watch --dry-run` is unsafe in pinned `gws` v0.22.5: it attempts Gmail authentication and Pub/Sub topic setup before honoring `--dry-run`. Use `gws gmail +watch --help` for planning. Run `+watch` only when the user requests a live watch and approves the persistent Pub/Sub resources.\n\n## The user's signature\n\nGmail adds a signature in its own compose window, not on the server, so a message\nsent through `gws` — helper or raw API — arrives without the one the user set in\nGmail's settings. Read it once per conversation and put it on every message you\nsend, reply to, or draft on their behalf:\n\n```bash\ngws gmail users settings sendAs list --params '{\"userId\":\"me\"}'\n```\n\nTake `signature` (HTML) from the alias the mail goes out as: the entry whose\n`sendAsEmail` matches the account, otherwise the one with `\"isDefault\": true`. An\nempty string means the account has no signature — send without one. Append it\nbelow the body with `--html`, verbatim: never retype, reword, or reformat it, and\nnever add a second copy when the message you are replying to already quotes one.\n\nThis needs no extra permission. `gmail.modify`, which the Google connector already\ngrants, covers `settings.sendAs.list`.\n\n## Message and thread ids\n\nA send returns `id`, `threadId`, and `labelIds`. Those address the next call —\nthreading a reply, labelling what was just sent — and mean nothing to the user.\nNever read one back to them; name the mail by its subject and recipient.\n\n### Passing message ids between commands\n\nWhen extracting a message id from JSON for another API call, use `jq -r`,\nnot `jq` or `jq -c`. Non-raw output keeps the JSON quote characters, so Gmail\nreceives the quotes as part of the id and rejects the request with HTTP 400. An\nid is plain hex, so once extracted it can sit inside the next `--params` JSON\ndirectly; anything free-form (a search query, a subject) goes through\n`jq --arg` instead of being interpolated:\n\n```bash\nmessage_id=$(gws gmail users messages list --params '{\"userId\":\"me\",\"q\":\"is:unread\",\"maxResults\":1}' | jq -r '.messages[0].id')\ngws gmail users messages get --params '{\"userId\":\"me\",\"id\":\"'\"$message_id\"'\",\"format\":\"metadata\"}'\n```\n\n## Reading many messages\n\nEvery `gws` process opens its own connection through the identity gateway and\nlooks up the credential again, so a shell loop that runs one process per message\nspends most of its time on connection setup. A sweep over a few hundred messages\ntakes minutes that way. Start each scan in an empty directory, so nothing from an\nearlier or interrupted scan leaks into this one, and read in bulk:\n\n1. **Headers for a whole query in one process.** `+triage` lists the matches\n and fetches sender, subject, and date for all of them concurrently, keyed by\n `id`. It takes any Gmail search, not just `is:unread`, and `--max` goes up to 500. Write each query to its own file with `>`, never `>>`, so a rerun\n replaces the result instead of appending to it:\n\n```bash\ngws gmail +triage --query 'from:instacart.com newer_than:1y' --max 200 --format json | jq -c '.[]' > hits_instacart.jsonl\ngws gmail +triage --query 'subject:(receipt OR \"order confirmation\") newer_than:1y' --max 200 --format json | jq -c '.[]' > hits_receipts.jsonl\n```\n\n2. **Dedupe across queries before any per-message call.** Overlapping searches\n return the same message under each of them. Keep each id once, so nothing\n downstream fetches a message twice:\n\n```bash\njq -rs 'unique_by(.id) | .[].id' hits_*.jsonl > ids.txt\n```\n\n3. **Bodies once each, in parallel, from a script file.** `messages get`\n returns one message per call, so run the calls concurrently (8 at a time\n stays inside Gmail's per-user burst limit) and save each body to a file.\n Later questions are answered with `grep` and `jq` over the files, never by\n fetching again:\n\n```bash\n# getbody.sh: the full message for the id in $1, saved as bodies/<id>.json\nmkdir -p bodies\ngws gmail users messages get --params '{\"userId\":\"me\",\"id\":\"'\"$1\"'\",\"format\":\"full\"}' | jq -c . > \"bodies/$1.json\"\n```\n\n```bash\nxargs -P 8 -n 1 bash getbody.sh < ids.txt\n```\n\nDo not run `messages get` in a `while read` loop, one message at a time, for\nheaders or for bodies: `+triage` already covers headers, and bodies belong in\nthe parallel script above.\n\n## API Resources\n\n### users\n\n- `getProfile` — Gets the current user's Gmail profile.\n- `stop` — Stop receiving push notifications for the given user mailbox.\n- `watch` — Set up or update a push notification watch on the given user mailbox.\n- `drafts` — Operations on the 'drafts' resource\n- `history` — Operations on the 'history' resource\n- `labels` — Operations on the 'labels' resource\n- `messages` — Operations on the 'messages' resource\n- `settings` — Operations on the 'settings' resource\n- `threads` — Operations on the 'threads' resource\n\n## Discovering Commands\n\nBefore calling any API method, inspect it:\n\n```bash\n# Browse resources and methods\ngws gmail --help\n\n# Inspect a method's required params, types, and defaults\ngws schema gmail.users[.<sub-resource>...].<method>\n```\n\nUse the method schema output to build your `--params` and `--json` flags.\n\n## Available skills\n\n- `_system/gws-gmail-send` gws-gmail-send: Gmail: Send an email.\n- `_system/gws-gmail-draft` gws-gmail-draft: Gmail: Create a draft email — saved, never sent.\n- `_system/gws-gmail-triage` gws-gmail-triage: Gmail: Show unread inbox summary (sender, subject, date).\n- `_system/gws-gmail-reply` gws-gmail-reply: Gmail: Reply to a message (handles threading automatically).\n- `_system/gws-gmail-reply-all` gws-gmail-reply-all: Gmail: Reply-all to a message (handles threading automatically).\n- `_system/gws-gmail-forward` gws-gmail-forward: Gmail: Forward a message to new recipients.\n- `_system/recipe-email-drive-link` recipe-email-drive-link: Share a Google Drive file and email the link with a message to recipients.\n- `_system/recipe-save-email-attachments` recipe-save-email-attachments: Find Gmail messages with attachments and save them to a Google Drive folder.\n- `_system/recipe-draft-email-from-doc` recipe-draft-email-from-doc: Read content from a Google Doc and use it as the body of a Gmail message.\n- `_system/recipe-label-and-archive-emails` recipe-label-and-archive-emails: Apply Gmail labels to matching messages and archive them to keep your inbox clean.\n- `_system/recipe-save-email-to-doc` recipe-save-email-to-doc: Save a Gmail message body into a Google Doc for archival or reference.\n- `_system/recipe-create-vacation-responder` recipe-create-vacation-responder: Enable a Gmail out-of-office auto-reply with a custom message and date range.\n\nIf one clearly applies, load it with the skill tool by its address, then follow its instructions.\n\nFollow these instructions as your guide. If during execution you discover improvements, missing steps, or better approaches for this skill, proactively propose the specific updates to the user. Use the skill tool's create/edit actions to save improvements.", "resolved_from": null, "success": true}, "status": "completed", "tool_name": "skill"}

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{"dispatch_id": "toolu_01W77TCwAyzzyZoxF64JnL1J", "elapsed": 1.692441801, "error": "", "result": "Delivered (confirmed) as 1 message. Your draft was polished into texting register, so the wording differs from what you wrote; this is exactly what the user sees:\n1) Happy to set that up. What kind of doctor do you need, where should the appointment be near, and what insurance plan are you on?\nThese are your words now, and this is the whole reply: the delivery layer chose its density and shape by design. Never dispute, re-explain, or apologize for the phrasing, and never send a supplement to restore detail it left out. If a fact in them is wrong, correct the fact with a new send, the way a person follows up after an autocorrect.\n\nYour turn continues.\nanswers: e4f3c7ec-5b0b-4b00-ac0c-4c71f2c29490", "status": "completed", "tool_name": "send_message"}

Happy to set that up. What kind of doctor do you need, where should the appointment be near, and what insurance plan are you on?

Book me the cheapest nonstop flight from SFO to JFK on December 17th

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{"dispatch_id": "toolu_bdrk_019ESy7xyJhh4YjvND67L35o", "elapsed": 0.005208643, "error": "", "result": {"address": "_system/booking-flights", "content": "# Booking flights\n\nHow to handle a request to book a flight.\n\n## Before spinning up browser\n\n- Search email and memory for preferred airlines, frequent flier accounts, and subscriptions to TSA Pre and Clear\n\n## Before starting checkout\n\n- Unless user says otherwise, prioritize nonstops and price compare tickets, assuming someone wants to save money but not so much that they would sacrifice their day to travel.\n- If prices are exorbitantly high, compared to norm, check if other close airports (ie LGA for JFK) sell the ticket for less or at a better time.\n- Prioritize the best seats on plane (window or aisle seats are always preferred for single fliers)\n- Prioritize seats as specified by user (ie first class, business class, economy plus, etc)\n- Look for the best prices across well regarded budget travel aggregators including Kayak, Expedia, Priceline, Orbitz, and Google Flights in parallel browsers.\n\n## Apply rewards\n\n- Include user’s frequent flier numbers, pulled from email, docs, etc as necessary\n\n## Apply habits\n\n- If a flier always requests a special meal (ie low salt) or similar request, make this choice in their reservation. If a flier is booking first class, or has a choice of meal with flight they can pre-reserve, surface this option to the user to confirm when presenting the option to book.\n\n## Confirming and placing the order\n\n- Before charging anything, show the user a summary including the flight, cost, and seats\n\n## If user finds no flights they like\n\n- If you end not booking a flight, proactively follow up by doing a fresh search the next day by making a scheduled task.\n\n## After booking\n\n- If the user has poor seats, create a scheduled task to search every 24 hours for better seats for the same flight. If there’s no extra cost, upgrade the seat location automatically during the same flight and inform the user you have switched the seats.\n- If the user has economy seats and preferred flier status that enables a free legroom or class upgrade at check-in (search email and memory for any status at or above United Silver, Delta Silver, American Gold, Alaskan Silver, Jetblue Mosaic, Southwest A-List, Frontier Silver), create a scheduled task to upgrade the seat for the user at the precise moment the flight opens for upgrades (24 hours before flight on United, Delta, American, Frontier, and Spirit; 36 hours before flight on JetBlue; 48 hours before on Alaska and Southwest). These upgrades may or may not require check-in depending on the carrier. If upgrade requires check-in, get consent at time of original booking from the user to check in on their behalf to secure an upgraded seat. If the only upgrade is a middle seat in a higher class from a user’s existing aisle or window seat in a lower class, get consent from user before switching to the middle seat.\n- Make a scheduled task to search every 24 hours if the flight has lowered in price. If it has, pursue a price credit for the user. Take actions to collect the credit, and let the user know when you are successful. If there’s a credit you cannot collect, inform the user with instructions to collect it.\n- Create a scheduled task for day before flight: Search user email. If user typically takes rideshares (ie Uber and Lyft) to airport, offer to schedule their preferred ride for them that takes anticipated traffic and security time into account.\n- Create a scheduled task for day of flight: If user prefers rideshares to airport and still hasn't booked one, offer to schedule their preferred ride for them that takes anticipated traffic and security time into account.\n- Create a scheduled task on day of flight: instruct browser to take a screenshot of the user’s ticket and share it with them, along with a reminder of the time.\n- Create a scheduled task on day of flight: message user if flight is delayed\n- Create a scheduled task one week after flight: Look up user’s frequent flier miles, cross reference memory for preferred vacation spots or trips, check what four ideal destination(s) (between one and four) that might be purchasable for a user (and their partner or family if applicable) over the next three to six months. Offer these to user with flight time, total mileage cost, total financial cost, and miles they would have left.\n\nFollow these instructions as your guide. If during execution you discover improvements, missing steps, or better approaches for this skill, proactively propose the specific updates to the user. Use the skill tool's create/edit actions to save improvements.", "resolved_from": null, "success": true}, "status": "completed", "tool_name": "skill"}

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{"dispatch_id": "toolu_bdrk_01DH5wDjpSfH84HUmCHMoVmE", "elapsed": 6.0401e-05, "error": "", "result": {"tool": {"description": "Ask the user to fill a typed secret (a site login, a card, or an API key). The user fills an inline form; on submit the secret is saved to their vault. This tool blocks until the user submits or cancels — wait for the result before requesting another. Returns the new secret's id. A saved login (type=login, scope=the site's host) lets a later browser task sign in to that site for the user. Never ask the user to type a password into chat; request it here instead.", "input_schema": {"properties": {"description": {"description": "Why you need it, in one short sentence, shown above the form. Skip how it is stored: the form says that.", "type": "string"}, "label": {"description": "Short identifier shown in lists (e.g. 'Personal Visa' or 'Anthropic prod key'). A login is listed by its username, so its label is only the form's heading.", "type": "string"}, "scope": {"description": "The site the secret belongs to. Required for a login: the exact host where the user signs in (e.g. 'ordero.isobar.systems', not the parent domain 'isobar.systems'). Optional for a card or API key used on one site; leave empty for an unbound secret like a general-purpose card.", "type": "string"}, "type": {"description": "Secret type. One of: login (a site's username and password), card_number, api_key", "enum": ["login", "card_number", "api_key"], "type": "string"}}, "required": ["type", "label", "description"], "type": "object"}, "name": "request_secret"}}, "status": "completed", "tool_name": "deferred_tool"}

{"dispatch_id": "toolu_bdrk_01PWhCrWKPzNxXXj2LfsKqLo", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {"description": "Card to pay for your SFO to JFK flight on Dec 17.", "label": "Travel card", "type": "card_number"}, "tool_name": "request_secret"}

{"dispatch_id": "toolu_bdrk_01PWhCrWKPzNxXXj2LfsKqLo", "elapsed": null, "error": "", "fields": {"status": "waiting_for_input", "updatedAt": 1788576620498, "userInputRequest": {"displayHint": "secure_screen", "prompt": "Travel card", "requestId": "uir_3602ce92-1a7b-4d13-8208-130080e3a2b9", "screen": {"components": [{"autocomplete": "cc-number", "id": "number", "input_mode": "numeric", "input_type": "tel", "label": "Card Number", "placeholder": "1234 1234 1234 1234", "type": "text_input", "validation": {"luhn": true, "required": true}}, {"autocomplete": "cc-exp", "id": "expiry", "input_mode": "numeric", "label": "Expires", "layout": "row", "mask": "##/##", "placeholder": "MM/YY", "type": "text_input", "validation": {"pattern": "^(0[1-9]|1[0-2])/[0-9]{2}$", "required": true}}, {"autocomplete": "cc-csc", "id": "cvv", "input_mode": "numeric", "input_type": "tel", "label": "CVC", "layout": "row", "placeholder": "123", "type": "text_input", "validation": {"max_length": 4, "min_length": 3, "pattern": "^\\d{3,4}$", "required": true}}, {"autocomplete": "cc-name", "id": "name", "label": "Cardholder Name", "placeholder": "Name on card", "type": "text_input", "validation": {"max_length": 100, "min_length": 1, "required": true}}, {"autocomplete": "postal-code", "id": "zip", "label": "Zip Code", "placeholder": "94103", "sublabel": "(optional)", "type": "text_input", "validation": {"max_length": 10, "min_length": 3}}], "header": {"subtitle": "Card to pay for your SFO to JFK flight on Dec 17.", "title": "Travel card"}, "primary_action": {"id": "submit", "kind": "submit", "label": "Save"}, "secret": "[REDACTED]", "state": "awaiting_input"}}}, "result": null, "status": "waiting_for_input", "tool_name": "request_secret"}

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{"dispatch_id": "toolu_bdrk_01PWhCrWKPzNxXXj2LfsKqLo", "elapsed": 0.096882417, "error": "", "result": "Invalid response for secret request \"Travel card\". Ask the user to try again.", "status": "completed", "tool_name": "request_secret"}

{"dispatch_id": "toolu_bdrk_01Dk1DMMhw6X5gcRnZkATQgm", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {"message": "Cheapest nonstop is still American AA 148, Thu Dec 17: 4:01p SFO → 12:30a JFK, $250 Basic Economy (no seat pick). JetBlue B6 16, 3:25p → 11:55p, is ~$255-261 in Main with a seat choice and more legroom, which I'd take for $5-10 more.\n\nTwo things block checkout: the card form failed again on my end, and I don't have your traveler details. Send me your full legal name, date of birth, and gender as on ID, and I'll retry the card save so we can lock it in."}, "tool_name": "send_message"}

{"dispatch_id": "toolu_bdrk_01Dk1DMMhw6X5gcRnZkATQgm", "elapsed": 4.864369722, "error": "", "result": "Delivered (confirmed) as 2 messages. Your draft was polished into texting register, so the wording differs from what you wrote; this is exactly what the user sees:\n1) The cheapest nonstop is American AA 148 on Thu, Dec 17: 4:01 p.m. SFO to 12:30 a.m. JFK, $250 Basic Economy with no seat pick. JetBlue B6 16 is about $255 to $261, with a seat choice and more legroom, so I’d take it for $5 to $10 more.\n2) Two things block checkout: the card form failed again, and I need your full legal name, date of birth, and gender as shown on your ID. Send those and I’ll retry saving the card so we can lock it in.\nThese are your words now, and this is the whole reply: the delivery layer chose its density and shape by design. Never dispute, re-explain, or apologize for the phrasing, and never send a supplement to restore detail it left out. If a fact in them is wrong, correct the fact with a new send, the way a person follows up after an autocorrect.\n\nYour turn continues.\nanswers: none", "status": "completed", "tool_name": "send_message"}

{"dispatch_id": "toolu_bdrk_01TWef3ezvjxnUJEcz68dq5r", "handle": "", "panel_kind": "memory", "parent_dispatch_id": "", "tool_input": {"action": "edit", "new_string": "- Not booked: waiting on choice, traveler full legal name + DOB + gender, and a payment card.\n- Card save (request_secret type=card_number) has failed twice on 2026-09-04 (\"Invalid response for secret request\"). No secrets on file.", "old_string": "- Not booked: waiting on choice, traveler full name + DOB, and a saved payment card (no secrets on file).", "path": "MEMORY.md"}, "tool_name": "memory"}

{"dispatch_id": "toolu_bdrk_01TWef3ezvjxnUJEcz68dq5r", "elapsed": 4.166825635, "error": "", "result": {"ok": true, "path": "MEMORY.md"}, "status": "completed", "tool_name": "memory"}

The cheapest nonstop is American AA 148 on Thu, Dec 17: 4:01 p.m. SFO to 12:30 a.m. JFK, $250 Basic Economy with no seat pick. JetBlue B6 16 is about $255 to $261, with a seat choice and more legroom, so I’d take it for $5 to $10 more.

Two things block checkout: the card form failed again, and I need your full legal name, date of birth, and gender as shown on your ID. Send those and I’ll retry saving the card so we can lock it in.

Book me the cheapest nonstop flight from SFO to JFK on December 17th

{"dispatch_id": "toolu_01SmTdEjiffZ3jAt9D2eggt3", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {}, "tool_name": "list_secrets"}

{"dispatch_id": "toolu_01SmTdEjiffZ3jAt9D2eggt3", "elapsed": 0.002575599, "error": "", "result": "No saved secrets match. Use request_secret to add one.", "status": "completed", "tool_name": "list_secrets"}

{"dispatch_id": "toolu_01PSkpC3AUiUs1ZyYEcDh5jF", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {"action": "search", "query": "full name date of birth passport traveler details"}, "tool_name": "memory"}

{"dispatch_id": "toolu_01PSkpC3AUiUs1ZyYEcDh5jF", "elapsed": 0.154374338, "error": "", "result": {"results": [{"citation": "seg://560020d0", "score": 1, "snippet": "On September 4, 2026, the user asked Hark to book the cheapest nonstop flight from SFO to JFK for December 17, 2026. Hark presented flight options, identified the lowest fare, explained its Basic Economy restrictions, and noted a slightly more expensive alternative with a carry-on included. No booking was completed because Hark still needed the user’s full legal name, date of birth, selected flight, and payment-card details; two attempts to request the card information failed. The user then asked Hark to summarize a New York Times article about John Galliano and the Met Museum. The article page returned HTTP 403, while search results indicated that Galliano withdrew from a planned Met Costume Institute exhibition after backlash from donors, politicians, and Jewish leaders. An archive search found no copy, and further news and discussion searches were initiated; no final summary was delivered in the conversation.", "source": "episode", "subject": "Flight Booking Attempt and John Galliano Article Summary Request", "summary": "The flight remained unbooked because required traveler and payment information was not successfully collected. Hark also began researching the paywalled John Galliano–Met Museum article after direct access and archive retrieval failed, but did not yet provide a completed summary.", "timestamp": "2026-09-04 6:15 PM PDT (UTC-07:00)"}, {"citation": "seg://c0e1397f", "confidence": "high", "score": 0.6546, "segment_id": "c0e1397f-fc7e-5506-9e85-38222bf54376", "snippet": "The user wants to run a marathon by the end of 2026.", "source": "fact", "timestamp": "2026-09-04 10:05 AM PDT (UTC-07:00)"}, {"citation": "MEMORY.md#L1-L20", "end_line": 20, "path": "MEMORY.md", "score": 0.6004, "snippet": "\n## Marathon goal (started 2026-09-04)\n- User wants to run their first marathon before the end of 2026. Based in Santa Clara County (San Jose / Bay Area).\n- Built a 15-week beginner plan starting Mon 2026-09-07, peaking at a 20 mi long run in Week 12, targeting a race around Sun 2026-12-20 (compressible to Dec 6 by dropping Weeks 3 and 6). Files: /workspace/marathon/training-plan.md and /workspace/marathon/meal-plan.md.\n- Plan assumes a ~30 min / 3 mi current continuous running base, 4 run days + 2 cross/strength days. UNCONFIRMED - asked the user to confirm current base, bodyweight (for exact macro numbers), and any dietary restrictions.\n- Race shortlist research in /workspace/marathon-race-options.md.\n\n## SF dinner for 5, Tue 9/8 or Wed 9/9 2026 (checked 2026-09-04)\n- Shortlist the user named: Ernest, Cotogna, Rintaro, House of Prime Rib, Zuni.\n- Only availability found for 5: House of Prime Rib (OpenTable) - Tue 9/8 10:00 PM; Wed 9/9 9:30 PM and 10:00 PM.\n- Ernest: closed Tuesdays, nothing Wed 9/9 (OpenTable, max party 6).\n- Cotogna: SevenRooms sold out both nights for 5; waitlist alerts or call 415-775-8508.\n- Rintaro: closed Tue; Wed 9/9 sold out for 5 on Resy (notify list available).\n- Zuni: parties of 5-12 must call 415-552-2522; no online dinner slots.\n- Not booked yet - waiting on user to pick a slot.\n\n## SFO -> JFK flight, Thu 2026-12-17 (searched 2026-09-04)\n- One-way, 1 adult, economy, nonstop only. Cheapest nonstops (Google Flights):\n - AA 148, 4:01 PM, $250 (Basic Economy - personal item only, no seat selection; AA Main Cabin same flight $305)\n - JetBlue B6 16, 3:25 PM, $261 (carry-on incl.)\n", "source": "file", "start_line": 1, "timestamp": "2026-09-04 5:32 PM PDT (UTC-07:00)"}, {"citation": "seg://560020d0", "confidence": "high", "score": 0.6, "segment_id": "560020d0-16f5-52b1-830f-bdc5bfcee6c3", "snippet": "The user plans to travel from San Francisco International Airport (SFO) to John F. Kennedy International Airport (JFK) on December 17, 2026 and prefers the cheapest nonstop flight.", "source": "fact", "timestamp": "2026-09-04 6:15 PM PDT (UTC-07:00)"}, {"citation": "seg://c0e1397f", "score": 0.4751, "snippet": "On September 4, 2026, the user asked Hark to book a New York hotel for next weekend. Hark resolved this to September 12–13, 2026, and asked for the preferred neighborhood, nightly budget, number of guests, and whether check-in should be Friday, September 11, or Saturday, September 12; no booking was made.\n\nThe user then asked to run a marathon before the end of 2026, create a training and meal plan, and help find a race. Hark created a 15-week beginner training plan beginning September 7, 2026, targeting a December 20, 2026 marathon, with a 20-mile peak long run and four running days plus cross-training/strength. Hark also created a fueling and meal plan covering daily nutrition, long-run fueling, hydration, race-week carb loading, and grocery staples. Both files were saved under `/workspace/marathon/`: `training-plan.md` and `meal-plan.md`. Hark launched research for full-marathon options between November 8 and December 31, 2026, prioritizing Northern California and notable California races, with verification of dates, fees, course profiles, field sizes, beginner suitability, and registration status; the race-options file was designated as `/workspace/marathon-race-options.md`, but research was still in progress at the end of the conversation.", "source": "episode", "subject": "Hotel Search and 2026 Marathon Planning", "summary": "Hark clarified the dates and details needed for the New York hotel request but did not book it. Hark also produced a 15-week marathon training plan and companion meal/fueling plan targeting December 20, 2026, and began researching suitable races and registration availability.", "timestamp": "2026-09-04 10:05 AM PDT (UTC-07:00)"}, {"citation": "MEMORY.md#L15-L24", "end_line": 24, "path": "MEMORY.md", "score": 0.4006, "snippet": "- Not booked yet - waiting on user to pick a slot.\n\n## SFO -> JFK flight, Thu 2026-12-17 (searched 2026-09-04)\n- One-way, 1 adult, economy, nonstop only. Cheapest nonstops (Google Flights):\n - AA 148, 4:01 PM, $250 (Basic Economy - personal item only, no seat selection; AA Main Cabin same flight $305)\n - JetBlue B6 16, 3:25 PM, $261 (carry-on incl.)\n - Alaska AS 32, 1:50 PM, $299 (carry-on incl.)\n - AA 166, 12:56 PM, $364 / Delta DL 363, 4:05 PM, $364\n- Not booked. Waiting on user's pick plus a saved card, full name, DOB.\n- No airline/loyalty emails found in Gmail; no frequent flyer numbers or TSA PreCheck/CLEAR on file. No saved payment card.\n", "source": "file", "start_line": 15, "timestamp": "2026-09-04 5:32 PM PDT (UTC-07:00)"}, {"citation": "seg://85b40b10", "score": 0.3517, "snippet": "On September 4, 2026, the user asked Hark to find the cheapest nonstop one-way flight from San Francisco International Airport (SFO) to John F. Kennedy International Airport (JFK) for Thursday, December 17, 2026, for one adult in economy. Hark found AA 148 at 4:01 PM for $250, but the fare was Basic Economy with only a personal item and no seat selection; JetBlue B6 16 at 3:25 PM cost $261 and included a carry-on; Alaska AS 32 at 1:50 PM cost $299; AA 166 at 12:56 PM and Delta DL 363 at 4:05 PM each cost $364. American Airlines’ Main Cabin fare on AA 148 was $305. No flight was booked, and the user was left to choose an option before booking confirmation.", "source": "episode", "subject": "SFO–JFK Nonstop Flight Search for December 17, 2026", "summary": "The cheapest nonstop was American AA 148 for $250, but JetBlue B6 16 at $261 offered better included baggage and seat benefits. The flight search ended without a booking.", "timestamp": "2026-09-04 5:28 PM PDT (UTC-07:00)"}, {"citation": "seg://e0d492ed", "confidence": "high", "score": 0.2146, "segment_id": "e0d492ed-e4ba-59c4-abf8-4a59547bc4e0", "snippet": "The user wants a $100 bouquet from Mills Florist delivered to their mother on September 5, 2026.", "source": "fact", "timestamp": "2026-09-04 10:17 AM PDT (UTC-07:00)"}, {"citation": "seg://5faf0478", "score": 0.2132, "snippet": "On September 4, 2026, a tool operation completed successfully and returned the file path `MEMORY.md`.", "source": "episode", "subject": "MEMORY.md Operation Confirmed", "summary": "The system confirmed successful handling of `MEMORY.md`.", "timestamp": "2026-09-04 5:32 PM PDT (UTC-07:00)"}, {"citation": "seg://f28fb031", "score": 0.1677, "snippet": "On September 4, 2026, the user asked Hark to find a dinner reservation for five people in San Francisco on Tuesday, September 8, or Wednesday, September 9, 2026, at Ernest, Cotogna, Rintaro, House of Prime Rib, or Zuni Café. Availability checks found no table for five at Ernest on either date; Ernest is closed Tuesday, September 8, and Wednesday, September 9 was fully unavailable. Cotogna had no dinner availability from 5:00–9:00 PM on either date despite being open, and SevenRooms suggested joining an alert or calling 415-775-8508. Rintaro had no Tuesday service and was fully booked for five on Wednesday, offering only a dinner notification. No reservation was made, and no sign-in or personal information was used. Availability checks for House of Prime Rib and Zuni Café were still in progress when the episode ended.", "source": "episode", "subject": "San Francisco Dinner Reservation Search for September 8–9, 2026", "summary": "The user sought a San Francisco dinner reservation for five on September 8 or 9, 2026. Ernest, Cotogna, and Rintaro had no available tables, while House of Prime Rib and Zuni Café remained unchecked at the end; no booking was made.", "timestamp": "2026-09-04 10:10 AM PDT (UTC-07:00)"}]}, "status": "completed", "tool_name": "memory"}

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{"dispatch_id": "toolu_01S1PVzY87CQbYr6mMzUEtu6", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {"final": true, "message": "Cheapest nonstop is still American AA 148, SFO 4:01 PM to JFK, $250 one-way (Basic Economy: personal item only, no seat selection). JetBlue B6 16 at 3:25 PM is $261 with a carry-on included, if that's worth $11 to you.\n\nTo book I need: your full legal name as on ID, and date of birth. The secure card form failed to submit again just now, so I'll re-send it once you reply."}, "tool_name": "send_message"}

Find me a new fall wardrobe and build it as a shopping site

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{"dispatch_id": "toolu_01262ru2nnExwq6dwuntwnqU", "elapsed": 0.006873982, "error": "", "result": {"address": "_system/shopping-lookbook", "content": "# Help the user create a lookbook for retail shopping\n\nHow to handle a request to help with clothing shopping.\n\n## Before spinning up browser\n\n- Ask if the user would like to connect Pinterest, Instagram, Depop, Amazon, Stitch Fix so their current style can be understood from what they already post and save.\n- Search the user's email for clothing brand newsletters and lists they are subscribed to, as another signal of current style. Use this search to identify the user's preferred size to order things for items like tops, pants, shoes.\n- For users with no connectable accounts or email, go directly to gathering user preferences.\n- Once connected, summarize the user's current style back to them in a few descriptive words.\n- Confirm if the user would like to continue shopping within that current style. If yes, proceed to finding options using that style summary. If not, gather preferences like two to three of their favorite brands, a celebrity or style figure, purpose, budget, or if they have a preference for any specific clothing items or categories they are shopping for.\n\n## Finding options\n\n- Search the internet for pieces that match the gathered style signals, whether that is the current-style summary or the favorite brands, aspirational figure, and budget gathered above.\n- Pull photos of options as full outfits on people, so the user can judge the look as a whole.\n- Present six options and ask the user to confirm whether these match their aspirational style before going further.\n\n## Building the panel/widget\n\n- Once the user confirms the style direction, build a website-style panel/widget with six panels, one per item, each showing the picture, brand, a link to purchase, and price.\n- When pulling the items, search across retailers for similar items, and present the options which balance finding the best price with product quality and brand reputation. Do not present any options that are out of stock or are not in the user's size.\n- Let the user know this is now their personal shopping site and it will add new options every day (24 hours), but they can ask for it more frequently.\n- Let the user know that they can also ask to save some options that they may want to purchase later. For these options, monitor the price and availability in stock once a day. If there are any changes to price, availability, or if there is a similar option from another retailer that is better value, let the user know and update the item in the panel/widget to reflect the change.\n\n## Purchasing\n\n- If the user wants to purchase an item from the panel/widget, offer to help execute the purchase.\n- Base the size to purchase on what is in memory and previous orders that the user has executed, but confirm with the user that that is the size they want to order with. If there is no size information, ask the user to confirm what size they want to order. Flag to the user if the suggested size is not available or in stock and present an alternative option for a similar product in a similar size.\n- For delivery and payments, leverage memory, past orders, email, for a repeated shipping address, billing addresses, or payments. Confirm with the user that these are correct before applying.\n- Before checkout, search for any coupons to be applied and if the coupon lowers the price, let the user know that you have automatically applied a coupon.\n- Confirm the full total price (item price, shipping, tax), size, and address before placing the order.\n- After a purchase is completed, refresh that panel with a new item on the next update.\n\n## Returns\n\n- If the user asks to return an item, summarize the return process and flag it if return shipping costs more than the item, or if drop-off is inconvenient.\n- If the return window has already passed, flag that immediately instead of proceeding.\n- If the user has multiple recent orders or items that could match, confirm which item before proceeding.\n- If the request could be a size or color swap, ask if the user wants an exchange instead of a refund.\n- Before initiating, confirm with the user, then request the return or exchange and give clear, simplified steps.\n- A few days before the drop-off deadline, send a heads-up reminder; 24 hours before, send a final reminder and include a snippet of the shipping label (if relevant) and the address of the drop-off location.\n- Show return progress as a step tracker panel/widget (requested, dropped off, in transit, processed, refunded), updating the current step as status changes come in.\n\n## Refreshing\n\n- On each scheduled refresh, keep the panels aligned to the confirmed style, brands, aspirational figure, and budget gathered earlier. Push the old 6 presented options lower and add the 6 fresh ones on top, only present 12 options at a time when expanded.\n- On each refresh, re-check the price for every item still on the panel/widget and update the displayed price and retailer if it has changed.\n- On each refresh, also proactively check the user's favorite and most-loved brands, whether stated directly or drawn from the current-style connection, for any active sale, discount, or promo, even on items not currently on the panel/widget. Surface these to the user as they come up rather than waiting to be asked. To avoid noise, only flag these promotions if they give more than a 25% discount on a product or the entire purchase.\n- If the user changes the refresh frequency at any point, apply the new cadence going forward.\n\nFollow these instructions as your guide. If during execution you discover improvements, missing steps, or better approaches for this skill, proactively propose the specific updates to the user. Use the skill tool's create/edit actions to save improvements.", "resolved_from": null, "success": true}, "status": "completed", "tool_name": "skill"}

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{"dispatch_id": "toolu_01N8zva1Fqsr2AmjdDgmoPi6", "elapsed": 0.148895858, "error": "", "result": {"results": [{"citation": "seg://2e94ac97", "confidence": "high", "score": 1, "segment_id": "2e94ac97-b0e8-5827-9139-d3c11e7e9d67", "snippet": "The user is seeking a new fall wardrobe and wants it organized as a shopping-site experience.", "source": "fact", "timestamp": "2026-09-04 6:15 PM PDT (UTC-07:00)"}, {"citation": "seg://26ee20b0", "score": 0.9402, "snippet": "On September 4, 2026, the user asked Hark to find a new fall wardrobe and turn the recommendations into a shopping-site experience. Hark initiated a style recall and asked for tops, pants, and shoe sizes; two or three preferred brands or a style reference; a per-piece budget; and whether the user wanted menswear or womenswear. Hark also offered to use Pinterest or Instagram to understand the user’s style. Later on September 4, 2026, the user asked Hark to order a $100 bouquet for the user’s mother from Mills Florist for delivery on Saturday, September 5, 2026. Hark confirmed that Mills Florist in Mountain View, California, offers Saturday delivery and requested the mother’s name, delivery address, phone number, card message, and flower preferences before proceeding. No purchase had been completed.", "source": "episode", "subject": "Fall Wardrobe and Mother’s Flower Delivery Requests", "summary": "The user began two personal-assistance requests on September 4, 2026: a personalized fall wardrobe shopping site and a $100 Mills Florist bouquet for the user’s mother to arrive September 5. Both requests remained pending additional user details.", "timestamp": "2026-09-04 5:28 PM PDT (UTC-07:00)"}, {"citation": "seg://2e94ac97", "score": 0.9102, "snippet": "On September 4, 2026, the user asked Hark to find a new fall wardrobe and organize recommendations into a shopping-site experience. Hark initiated a style-preference recall and requested the user’s clothing category, top, pants, and shoe sizes, preferred brands or style references, and approximate budget per piece. Later that day, the user asked Hark to order gluten-free chicken pad thai, green curry with tofu, and French fries. Hark requested the delivery address and a choice between DoorDash and Uber Eats, noting that fries might require a second restaurant. Neither request progressed to a completed purchase or wardrobe build.", "source": "episode", "subject": "Fall Wardrobe and Thai Food Orders Pending", "summary": "The user initiated two personal-assistance requests on September 4, 2026: a personalized fall wardrobe shopping site and a Thai food delivery order. Both remained pending required details, and no purchase was completed.", "timestamp": "2026-09-04 6:15 PM PDT (UTC-07:00)"}, {"citation": "seg://26ee20b0", "confidence": "high", "score": 0.532, "segment_id": "26ee20b0-4a67-5b9f-8935-6e821455a564", "snippet": "On September 4, 2026, the user was seeking a new fall wardrobe and wanted it organized as a shopping website.", "source": "fact", "timestamp": "2026-09-04 5:28 PM PDT (UTC-07:00)"}, {"citation": "seg://36113c66", "score": 0.5257, "snippet": "On September 4, 2026, the user asked Hark to book a hotel in New York for the following weekend, resolved as September 11–13, 2026. Hark asked whether the stay would cover Friday through Sunday or only Saturday night, along with the nightly budget, preferred neighborhood, and number of guests. The user then asked Hark to build a monthly budget; Hark requested monthly take-home income, major fixed costs, other known expenses, and a preference between an editable Google Sheet and an in-chat layout. Finally, the user asked Hark to build a detailed website for a Tokyo trip the following weekend, resolved as Saturday, September 12, 2026, highlighting art and design, Nintendo, and excellent Japanese food. Hark resolved the date, initiated a relevant travel-information recall, and loaded the website-building skill.", "source": "episode", "subject": "Travel, Budget, and Tokyo Website Requests", "summary": "The user made three requests on September 4, 2026: a New York hotel booking for September 11–13, a personalized monthly budget, and a comprehensive Tokyo trip website for the weekend of September 12, centered on art, design, Nintendo, and Japanese cuisine.", "timestamp": "2026-09-04 10:05 AM PDT (UTC-07:00)"}, {"citation": "seg://027af1d3", "score": 0.301, "snippet": "On September 4, 2026, the assistant began creating a crafted three-day Tokyo itinerary website for September 12–14, 2026, aimed at a traveler interested in art and design, Nintendo and video games, and Japanese food. The assistant selected the “Ink & Vermilion” direction, a Japanese editorial-print and Swiss-grid hybrid using warm paper, near-black ink, restrained vermilion accents, timetable-style itinerary rows, oversized day numerals, and a mobile-friendly asymmetric layout. The assistant wrote `design-ideas.md` and `design-brief.md`, generated a Tokyo rooftop hero image and hanko-style logo, and downloaded and inspected imagery for teamLab Borderless, Nintendo TOKYO, and sushi. Gmail research found no trip bookings or travel confirmations in `eval-user44@testaccount.hark.com`; the mailbox contained only three unrelated messages, so no flight, hotel, rail, or reservation details were added. A web-research subagent was tasked with producing a verified hour-by-hour itinerary covering September 12–14, including venue hours, prices, reservations, official URLs, food recommendations, transit, and weather guidance. The website build had not yet been handed off because itinerary research and image inspection were still in progress.", "source": "episode", "subject": "Tokyo Trip Itinerary Website Planning and Research", "summary": "The assistant established the visual direction and asset foundation for a Tokyo itinerary site, while researching a verified September 12–14, 2026 plan. No Tokyo travel bookings were found in the connected Gmail account, and the final website build remained pending.", "timestamp": "2026-09-04 10:11 AM PDT (UTC-07:00)"}, {"citation": "seg://36113c66", "confidence": "high", "score": 0.2395, "segment_id": "36113c66-6e31-51fe-b5a2-a58ccde8418b", "snippet": "For Tokyo travel, the user likes art and design, Nintendo, and excellent Japanese food.", "source": "fact", "timestamp": "2026-09-04 10:05 AM PDT (UTC-07:00)"}, {"citation": "seg://ce91e849", "confidence": "high", "score": 0.2221, "segment_id": "ce91e849-9d6b-5800-8acf-b243cae8ba94", "snippet": "The user is planning a Tokyo trip for September 12–14, 2026, with interests in art and design, Nintendo, and excellent Japanese food.", "source": "fact", "timestamp": "2026-09-04 10:22 AM PDT (UTC-07:00)"}, {"citation": "seg://ddbb3501", "confidence": "high", "score": 0.2206, "segment_id": "ddbb3501-6f1c-589f-9d45-02b73a3f43a9", "snippet": "The user is planning a Tokyo trip for September 12, 2026, with interests in art and design, Nintendo, and excellent Japanese food.", "source": "fact", "timestamp": "2026-09-04 10:22 AM PDT (UTC-07:00)"}, {"citation": "seg://c18c394a", "score": 0.2055, "snippet": "On September 4, 2026, the assistant researched NVIDIA’s official Q2 FY2027 results and created an 11-slide PowerPoint deck. The deck highlighted $96.2 billion revenue, up 106% year over year; $89.0 billion Data Center revenue, up 117%; 75.0% gross margin; $2.46 GAAP diluted EPS; and Q3 guidance of $108.0 billion with no China Data Center compute revenue assumed. The central conclusion was that the earnings beat was strong, but Q3 should be judged by cash conversion because $59.7 billion of net income produced $24.1 billion of operating cash while receivables increased by $22.3 billion. After one text-overflow issue on slide 9 was corrected, the deck passed PowerPoint, Keynote, and Google Slides checks and was displayed to the user as an uploaded file. Later, the user asked the assistant to return a USB cord to Amazon, and the assistant initiated memory searches related to the request and the user’s Amazon shopping and returns preferences.", "source": "episode", "subject": "NVIDIA Q2 FY2027 deck and Amazon USB cord return", "summary": "The assistant completed and uploaded a validated 11-slide NVIDIA Q2 FY2027 presentation centered on strong growth and the need to monitor cash conversion. The user then requested an Amazon return for a USB cord, prompting the assistant to begin the return workflow.", "timestamp": "2026-09-04 10:17 AM PDT (UTC-07:00)"}]}, "status": "completed", "tool_name": "memory"}

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{"dispatch_id": "toolu_014zx8zYb6618FiP3g8tXEK4", "elapsed": 0.010892704, "error": "", "result": {"address": "_system/gws-gmail", "content": "# gws — Shared Reference\n\n## Authentication\n\nPass `credentials: [{\"provider\": \"google\", \"email\": \"user@example.com\"}]` when calling the `shell` tool. `GOOGLE_WORKSPACE_CLI_TOKEN` is set to the placeholder `proxy-managed`, which satisfies `gws`'s own check that it has a token; the real one is added to the request by the identity-gateway on the wire. No manual login or service-account setup is needed, and the value in that variable is never a credential.\n\n```json\n{\n \"command\": \"gws gmail users messages list --params '{\\\"userId\\\": \\\"me\\\", \\\"maxResults\\\": 5}'\",\n \"credentials\": [{ \"provider\": \"google\", \"email\": \"user@example.com\" }]\n}\n```\n\n## Multiple Google Accounts\n\nWhen the user has more than one Google account connected, pass the target email in\n`credentials` on the `shell` tool call. That resolves the correct OAuth token via a\nlive database lookup:\n\n```json\n{ \"credentials\": [{ \"provider\": \"google\", \"email\": \"work@example.com\" }] }\n```\n\n`gws` has no `--account` flag. The injected token determines the account, so do\nnot add a second account selector to the command.\n\n## Global Flags\n\n| Flag | Description |\n| ----------------------- | --------------------------------------------------------- |\n| `--format <FORMAT>` | Output format: `json` (default), `table`, `yaml`, `csv` |\n| `--dry-run` | Validate raw API requests locally; helper behavior varies |\n| `--sanitize <TEMPLATE>` | Screen responses through Model Armor |\n\n## CLI Syntax\n\n```bash\ngws <service> <resource> [sub-resource ...] <method> [flags]\n```\n\nWhen a JSON string value contains apostrophes, such as a Drive `q` expression,\nuse a double-quoted shell argument and escape the JSON double quotes. Do not put\nthe whole JSON object in single shell quotes, because the apostrophes would end\nthat argument early:\n\n```bash\ngws drive files list --params \"{\\\"q\\\":\\\"name contains 'Project Brief' and trashed=false\\\"}\"\n```\n\n### Method Flags\n\n| Flag | Description |\n| --------------------------- | --------------------------------------------- |\n| `--params '{\"key\": \"val\"}'` | URL/query parameters |\n| `--json '{\"key\": \"val\"}'` | Request body |\n| `-o, --output <PATH>` | Save binary responses to file |\n| `--upload <PATH>` | Upload file content (multipart) |\n| `--page-all` | Auto-paginate (NDJSON output) |\n| `--page-limit <N>` | Max pages when using --page-all (default: 10) |\n| `--page-delay <MS>` | Delay between pages in ms (default: 100) |\n\n## Composing Calls (capture-then-use, for writes/sends)\n\nWhen the **second** call is a write or send — `documents.batchUpdate`, `spreadsheets.batchUpdate`, `events.insert/update/patch`, `messages.send`, `files.create/update/delete`, etc. — and it depends on a value returned by an earlier call, run them as **two separate shell tool invocations**, not bundled in one bash block.\n\n1. First shell call: run the lookup, read its stdout in your reasoning.\n2. Second shell call: pass the literal value into the write/send flag.\n\n**Don't** do this in one shell call:\n\n```bash\nDOC_ID=$(gws docs documents create --json '{\"title\":\"x\"}' | jq -r .documentId)\ngws docs documents batchUpdate --params \"{\\\"documentId\\\":\\\"$DOC_ID\\\"}\" --json '...'\n```\n\n**Do this** (two separate shell tool calls):\n\n```bash\n# call 1\ngws docs documents create --json '{\"title\":\"x\"}'\n# (reasoning step: read the documentId from stdout, e.g. \"1AbCdEfGh...\")\n# call 2\ngws docs documents batchUpdate --params '{\"documentId\":\"1AbCdEfGh...\"}' --json '...'\n```\n\n## Rules\n\n- **Never** output secrets (API keys, tokens) directly\n- Prefer `--dry-run` for raw API writes. Before dry-running a helper, inspect its\n skill and `--help`: helpers may authenticate or perform setup first, and\n `gmail +watch` is explicitly unsafe to dry-run.\n- Use `--sanitize` for PII/content safety screening\n- Inspect failures and try alternate reads, filters, or resources when safe. Never\n repeat a write or send after an ambiguous outcome; verify whether it succeeded first.\n- **Be proactive, not inquisitive.** Gather context yourself before asking the user. Propose concrete actions rather than asking open-ended questions.\n\n---\n\n# Availability — Shared Reference\n\n## Read the calendar before you state availability\n\nOffering, confirming, or declining a time on the user's behalf is a claim about\ntheir calendar. Read the calendar before writing that claim — not afterwards,\nand not only when you are creating the event.\n\nThis applies to outbound content, not just event creation:\n\n- a reply that offers windows (\"I have Tuesday 10–12 open\")\n- a message that accepts or declines a time someone else proposed\n- a summary that tells the user when they are free\n\nWriting any of these without a calendar read is a guess, and it reaches the\nrecipient as a commitment.\n\n## Reading it\n\n```bash\n# The user's own day. --today / --tomorrow / --week / --days N — there is no --date.\ngws calendar +agenda --tomorrow\n\n# An arbitrary window. Note the resource path is `events`, with no `users` prefix.\ngws calendar events list --params '{\"calendarId\":\"primary\",\"timeMin\":\"2026-08-11T00:00:00-07:00\",\"timeMax\":\"2026-08-12T00:00:00-07:00\",\"singleEvents\":true,\"orderBy\":\"startTime\"}'\n\n# Other attendees, before proposing a slot to them.\ngws calendar freebusy query --json '{\"timeMin\":\"2026-08-11T15:00:00Z\",\"timeMax\":\"2026-08-12T01:00:00Z\",\"items\":[{\"id\":\"someone@example.com\"}]}'\n```\n\nThen offer only the times you actually saw free. If the calendar call fails,\nsay so and ask the user — do not fall back to a guessed window.\n\n## See Also\n\n- [gws-calendar](../gws-calendar/SKILL.md) — full calendar API surface\n- [gws-calendar-agenda](../gws-calendar-agenda/SKILL.md) — `+agenda` flags in full\n- [recipe-find-free-time](../recipe-find-free-time/SKILL.md) — free/busy across several people\n\n---\n\n# gmail (v1)\n\n```bash\ngws gmail users [sub-resource ...] <method> [flags]\n```\n\n## Helper Commands\n\n| Command | Description |\n| ----------------------------------------------- | -------------------------------------------------------------- |\n| [`+send`](../gws-gmail-send/SKILL.md) | Send an email immediately |\n| [draft](../gws-gmail-draft/SKILL.md) | Create a draft email — saved, not sent |\n| [`+triage`](../gws-gmail-triage/SKILL.md) | Show unread inbox summary (sender, subject, date) |\n| [`+reply`](../gws-gmail-reply/SKILL.md) | Reply to a message (handles threading automatically) |\n| [`+reply-all`](../gws-gmail-reply-all/SKILL.md) | Reply-all to a message (handles threading automatically) |\n| [`+forward`](../gws-gmail-forward/SKILL.md) | Forward a message to new recipients |\n| `+read` | Read a message and extract its body or headers |\n| `+watch` | Stream new messages using Gmail push notifications and Pub/Sub |\n\n`gws gmail +watch --dry-run` is unsafe in pinned `gws` v0.22.5: it attempts Gmail authentication and Pub/Sub topic setup before honoring `--dry-run`. Use `gws gmail +watch --help` for planning. Run `+watch` only when the user requests a live watch and approves the persistent Pub/Sub resources.\n\n## The user's signature\n\nGmail adds a signature in its own compose window, not on the server, so a message\nsent through `gws` — helper or raw API — arrives without the one the user set in\nGmail's settings. Read it once per conversation and put it on every message you\nsend, reply to, or draft on their behalf:\n\n```bash\ngws gmail users settings sendAs list --params '{\"userId\":\"me\"}'\n```\n\nTake `signature` (HTML) from the alias the mail goes out as: the entry whose\n`sendAsEmail` matches the account, otherwise the one with `\"isDefault\": true`. An\nempty string means the account has no signature — send without one. Append it\nbelow the body with `--html`, verbatim: never retype, reword, or reformat it, and\nnever add a second copy when the message you are replying to already quotes one.\n\nThis needs no extra permission. `gmail.modify`, which the Google connector already\ngrants, covers `settings.sendAs.list`.\n\n## Message and thread ids\n\nA send returns `id`, `threadId`, and `labelIds`. Those address the next call —\nthreading a reply, labelling what was just sent — and mean nothing to the user.\nNever read one back to them; name the mail by its subject and recipient.\n\n### Passing message ids between commands\n\nWhen extracting a message id from JSON for another API call, use `jq -r`,\nnot `jq` or `jq -c`. Non-raw output keeps the JSON quote characters, so Gmail\nreceives the quotes as part of the id and rejects the request with HTTP 400. An\nid is plain hex, so once extracted it can sit inside the next `--params` JSON\ndirectly; anything free-form (a search query, a subject) goes through\n`jq --arg` instead of being interpolated:\n\n```bash\nmessage_id=$(gws gmail users messages list --params '{\"userId\":\"me\",\"q\":\"is:unread\",\"maxResults\":1}' | jq -r '.messages[0].id')\ngws gmail users messages get --params '{\"userId\":\"me\",\"id\":\"'\"$message_id\"'\",\"format\":\"metadata\"}'\n```\n\n## Reading many messages\n\nEvery `gws` process opens its own connection through the identity gateway and\nlooks up the credential again, so a shell loop that runs one process per message\nspends most of its time on connection setup. A sweep over a few hundred messages\ntakes minutes that way. Start each scan in an empty directory, so nothing from an\nearlier or interrupted scan leaks into this one, and read in bulk:\n\n1. **Headers for a whole query in one process.** `+triage` lists the matches\n and fetches sender, subject, and date for all of them concurrently, keyed by\n `id`. It takes any Gmail search, not just `is:unread`, and `--max` goes up to 500. Write each query to its own file with `>`, never `>>`, so a rerun\n replaces the result instead of appending to it:\n\n```bash\ngws gmail +triage --query 'from:instacart.com newer_than:1y' --max 200 --format json | jq -c '.[]' > hits_instacart.jsonl\ngws gmail +triage --query 'subject:(receipt OR \"order confirmation\") newer_than:1y' --max 200 --format json | jq -c '.[]' > hits_receipts.jsonl\n```\n\n2. **Dedupe across queries before any per-message call.** Overlapping searches\n return the same message under each of them. Keep each id once, so nothing\n downstream fetches a message twice:\n\n```bash\njq -rs 'unique_by(.id) | .[].id' hits_*.jsonl > ids.txt\n```\n\n3. **Bodies once each, in parallel, from a script file.** `messages get`\n returns one message per call, so run the calls concurrently (8 at a time\n stays inside Gmail's per-user burst limit) and save each body to a file.\n Later questions are answered with `grep` and `jq` over the files, never by\n fetching again:\n\n```bash\n# getbody.sh: the full message for the id in $1, saved as bodies/<id>.json\nmkdir -p bodies\ngws gmail users messages get --params '{\"userId\":\"me\",\"id\":\"'\"$1\"'\",\"format\":\"full\"}' | jq -c . > \"bodies/$1.json\"\n```\n\n```bash\nxargs -P 8 -n 1 bash getbody.sh < ids.txt\n```\n\nDo not run `messages get` in a `while read` loop, one message at a time, for\nheaders or for bodies: `+triage` already covers headers, and bodies belong in\nthe parallel script above.\n\n## API Resources\n\n### users\n\n- `getProfile` — Gets the current user's Gmail profile.\n- `stop` — Stop receiving push notifications for the given user mailbox.\n- `watch` — Set up or update a push notification watch on the given user mailbox.\n- `drafts` — Operations on the 'drafts' resource\n- `history` — Operations on the 'history' resource\n- `labels` — Operations on the 'labels' resource\n- `messages` — Operations on the 'messages' resource\n- `settings` — Operations on the 'settings' resource\n- `threads` — Operations on the 'threads' resource\n\n## Discovering Commands\n\nBefore calling any API method, inspect it:\n\n```bash\n# Browse resources and methods\ngws gmail --help\n\n# Inspect a method's required params, types, and defaults\ngws schema gmail.users[.<sub-resource>...].<method>\n```\n\nUse the method schema output to build your `--params` and `--json` flags.\n\n## Available skills\n\n- `_system/gws-gmail-send` gws-gmail-send: Gmail: Send an email.\n- `_system/gws-gmail-draft` gws-gmail-draft: Gmail: Create a draft email — saved, never sent.\n- `_system/gws-gmail-triage` gws-gmail-triage: Gmail: Show unread inbox summary (sender, subject, date).\n- `_system/gws-gmail-reply` gws-gmail-reply: Gmail: Reply to a message (handles threading automatically).\n- `_system/gws-gmail-reply-all` gws-gmail-reply-all: Gmail: Reply-all to a message (handles threading automatically).\n- `_system/gws-gmail-forward` gws-gmail-forward: Gmail: Forward a message to new recipients.\n- `_system/recipe-email-drive-link` recipe-email-drive-link: Share a Google Drive file and email the link with a message to recipients.\n- `_system/recipe-save-email-attachments` recipe-save-email-attachments: Find Gmail messages with attachments and save them to a Google Drive folder.\n- `_system/recipe-draft-email-from-doc` recipe-draft-email-from-doc: Read content from a Google Doc and use it as the body of a Gmail message.\n- `_system/recipe-label-and-archive-emails` recipe-label-and-archive-emails: Apply Gmail labels to matching messages and archive them to keep your inbox clean.\n- `_system/recipe-save-email-to-doc` recipe-save-email-to-doc: Save a Gmail message body into a Google Doc for archival or reference.\n- `_system/recipe-create-vacation-responder` recipe-create-vacation-responder: Enable a Gmail out-of-office auto-reply with a custom message and date range.\n\nIf one clearly applies, load it with the skill tool by its address, then follow its instructions.\n\nFollow these instructions as your guide. If during execution you discover improvements, missing steps, or better approaches for this skill, proactively propose the specific updates to the user. Use the skill tool's create/edit actions to save improvements.", "resolved_from": null, "success": true}, "status": "completed", "tool_name": "skill"}

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{"dispatch_id": "toolu_01MyzQvqWVBH2nQz2LfMFSHC", "elapsed": 1.112672974, "error": "", "result": "No messages found matching query: clothing OR order OR shipped OR size OR newsletter OR sale\n", "status": "completed", "tool_name": "shell"}

{"dispatch_id": "toolu_01QNmUG8ezk1ziNYSpaA4wqN", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {"final": true, "message": "Your inbox has no clothing brands or past orders to read your style from, so I need a few basics:\n\n- Menswear or womenswear\n- Sizes (top, pants/waist, shoe)\n- Budget per piece\n- Two or three brands you like, or a style reference (person or vibe)\n\nWant to connect Pinterest or Instagram instead? I can pull your style from what you save."}, "tool_name": "send_message"}

{"dispatch_id": "toolu_01QNmUG8ezk1ziNYSpaA4wqN", "elapsed": 4.546073829, "error": "", "result": "Delivered (confirmed) as 2 messages. Your draft was polished into texting register, so the wording differs from what you wrote; this is exactly what the user sees:\n1) I need a few basics to build your fall wardrobe: menswear or womenswear, your top, pants or waist, and shoe sizes, plus your budget per piece.\n2) Send two or three brands you like, or a style reference. You can also connect Pinterest or Instagram, and I’ll pull your style from what you save.\nThese are your words now, and this is the whole reply: the delivery layer chose its density and shape by design. Never dispute, re-explain, or apologize for the phrasing, and never send a supplement to restore detail it left out. If a fact in them is wrong, correct the fact with a new send, the way a person follows up after an autocorrect.\n\nYour turn continues.\nanswers: ed55cc55-60fd-4aa1-a60a-e37f7e1b180b", "status": "completed", "tool_name": "send_message"}

I need a few basics to build your fall wardrobe: menswear or womenswear, your top, pants or waist, and shoe sizes, plus your budget per piece.

Send two or three brands you like, or a style reference. You can also connect Pinterest or Instagram, and I’ll pull your style from what you save.

Find me a new fall wardrobe and build it as a shopping site

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{"dispatch_id": "toolu_01V5Z9PfaTM8WYuZEkWzNKiL", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {"action": "load", "id": "_system/shopping-lookbook"}, "tool_name": "skill"}

{"dispatch_id": "toolu_01V5Z9PfaTM8WYuZEkWzNKiL", "elapsed": 0.004527595, "error": "", "result": {"address": "_system/shopping-lookbook", "content": "# Help the user create a lookbook for retail shopping\n\nHow to handle a request to help with clothing shopping.\n\n## Before spinning up browser\n\n- Ask if the user would like to connect Pinterest, Instagram, Depop, Amazon, Stitch Fix so their current style can be understood from what they already post and save.\n- Search the user's email for clothing brand newsletters and lists they are subscribed to, as another signal of current style. Use this search to identify the user's preferred size to order things for items like tops, pants, shoes.\n- For users with no connectable accounts or email, go directly to gathering user preferences.\n- Once connected, summarize the user's current style back to them in a few descriptive words.\n- Confirm if the user would like to continue shopping within that current style. If yes, proceed to finding options using that style summary. If not, gather preferences like two to three of their favorite brands, a celebrity or style figure, purpose, budget, or if they have a preference for any specific clothing items or categories they are shopping for.\n\n## Finding options\n\n- Search the internet for pieces that match the gathered style signals, whether that is the current-style summary or the favorite brands, aspirational figure, and budget gathered above.\n- Pull photos of options as full outfits on people, so the user can judge the look as a whole.\n- Present six options and ask the user to confirm whether these match their aspirational style before going further.\n\n## Building the panel/widget\n\n- Once the user confirms the style direction, build a website-style panel/widget with six panels, one per item, each showing the picture, brand, a link to purchase, and price.\n- When pulling the items, search across retailers for similar items, and present the options which balance finding the best price with product quality and brand reputation. Do not present any options that are out of stock or are not in the user's size.\n- Let the user know this is now their personal shopping site and it will add new options every day (24 hours), but they can ask for it more frequently.\n- Let the user know that they can also ask to save some options that they may want to purchase later. For these options, monitor the price and availability in stock once a day. If there are any changes to price, availability, or if there is a similar option from another retailer that is better value, let the user know and update the item in the panel/widget to reflect the change.\n\n## Purchasing\n\n- If the user wants to purchase an item from the panel/widget, offer to help execute the purchase.\n- Base the size to purchase on what is in memory and previous orders that the user has executed, but confirm with the user that that is the size they want to order with. If there is no size information, ask the user to confirm what size they want to order. Flag to the user if the suggested size is not available or in stock and present an alternative option for a similar product in a similar size.\n- For delivery and payments, leverage memory, past orders, email, for a repeated shipping address, billing addresses, or payments. Confirm with the user that these are correct before applying.\n- Before checkout, search for any coupons to be applied and if the coupon lowers the price, let the user know that you have automatically applied a coupon.\n- Confirm the full total price (item price, shipping, tax), size, and address before placing the order.\n- After a purchase is completed, refresh that panel with a new item on the next update.\n\n## Returns\n\n- If the user asks to return an item, summarize the return process and flag it if return shipping costs more than the item, or if drop-off is inconvenient.\n- If the return window has already passed, flag that immediately instead of proceeding.\n- If the user has multiple recent orders or items that could match, confirm which item before proceeding.\n- If the request could be a size or color swap, ask if the user wants an exchange instead of a refund.\n- Before initiating, confirm with the user, then request the return or exchange and give clear, simplified steps.\n- A few days before the drop-off deadline, send a heads-up reminder; 24 hours before, send a final reminder and include a snippet of the shipping label (if relevant) and the address of the drop-off location.\n- Show return progress as a step tracker panel/widget (requested, dropped off, in transit, processed, refunded), updating the current step as status changes come in.\n\n## Refreshing\n\n- On each scheduled refresh, keep the panels aligned to the confirmed style, brands, aspirational figure, and budget gathered earlier. Push the old 6 presented options lower and add the 6 fresh ones on top, only present 12 options at a time when expanded.\n- On each refresh, re-check the price for every item still on the panel/widget and update the displayed price and retailer if it has changed.\n- On each refresh, also proactively check the user's favorite and most-loved brands, whether stated directly or drawn from the current-style connection, for any active sale, discount, or promo, even on items not currently on the panel/widget. Surface these to the user as they come up rather than waiting to be asked. To avoid noise, only flag these promotions if they give more than a 25% discount on a product or the entire purchase.\n- If the user changes the refresh frequency at any point, apply the new cadence going forward.\n\nFollow these instructions as your guide. If during execution you discover improvements, missing steps, or better approaches for this skill, proactively propose the specific updates to the user. Use the skill tool's create/edit actions to save improvements.", "resolved_from": null, "success": true}, "status": "completed", "tool_name": "skill"}

{"dispatch_id": "toolu_01BKy16YPnfTsxE2Yxy4Fe12", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {"action": "load", "id": "_system/gws-gmail"}, "tool_name": "skill"}

{"dispatch_id": "toolu_01BKy16YPnfTsxE2Yxy4Fe12", "elapsed": 0.009120672, "error": "", "result": {"address": "_system/gws-gmail", "content": "# gws — Shared Reference\n\n## Authentication\n\nPass `credentials: [{\"provider\": \"google\", \"email\": \"user@example.com\"}]` when calling the `shell` tool. `GOOGLE_WORKSPACE_CLI_TOKEN` is set to the placeholder `proxy-managed`, which satisfies `gws`'s own check that it has a token; the real one is added to the request by the identity-gateway on the wire. No manual login or service-account setup is needed, and the value in that variable is never a credential.\n\n```json\n{\n \"command\": \"gws gmail users messages list --params '{\\\"userId\\\": \\\"me\\\", \\\"maxResults\\\": 5}'\",\n \"credentials\": [{ \"provider\": \"google\", \"email\": \"user@example.com\" }]\n}\n```\n\n## Multiple Google Accounts\n\nWhen the user has more than one Google account connected, pass the target email in\n`credentials` on the `shell` tool call. That resolves the correct OAuth token via a\nlive database lookup:\n\n```json\n{ \"credentials\": [{ \"provider\": \"google\", \"email\": \"work@example.com\" }] }\n```\n\n`gws` has no `--account` flag. The injected token determines the account, so do\nnot add a second account selector to the command.\n\n## Global Flags\n\n| Flag | Description |\n| ----------------------- | --------------------------------------------------------- |\n| `--format <FORMAT>` | Output format: `json` (default), `table`, `yaml`, `csv` |\n| `--dry-run` | Validate raw API requests locally; helper behavior varies |\n| `--sanitize <TEMPLATE>` | Screen responses through Model Armor |\n\n## CLI Syntax\n\n```bash\ngws <service> <resource> [sub-resource ...] <method> [flags]\n```\n\nWhen a JSON string value contains apostrophes, such as a Drive `q` expression,\nuse a double-quoted shell argument and escape the JSON double quotes. Do not put\nthe whole JSON object in single shell quotes, because the apostrophes would end\nthat argument early:\n\n```bash\ngws drive files list --params \"{\\\"q\\\":\\\"name contains 'Project Brief' and trashed=false\\\"}\"\n```\n\n### Method Flags\n\n| Flag | Description |\n| --------------------------- | --------------------------------------------- |\n| `--params '{\"key\": \"val\"}'` | URL/query parameters |\n| `--json '{\"key\": \"val\"}'` | Request body |\n| `-o, --output <PATH>` | Save binary responses to file |\n| `--upload <PATH>` | Upload file content (multipart) |\n| `--page-all` | Auto-paginate (NDJSON output) |\n| `--page-limit <N>` | Max pages when using --page-all (default: 10) |\n| `--page-delay <MS>` | Delay between pages in ms (default: 100) |\n\n## Composing Calls (capture-then-use, for writes/sends)\n\nWhen the **second** call is a write or send — `documents.batchUpdate`, `spreadsheets.batchUpdate`, `events.insert/update/patch`, `messages.send`, `files.create/update/delete`, etc. — and it depends on a value returned by an earlier call, run them as **two separate shell tool invocations**, not bundled in one bash block.\n\n1. First shell call: run the lookup, read its stdout in your reasoning.\n2. Second shell call: pass the literal value into the write/send flag.\n\n**Don't** do this in one shell call:\n\n```bash\nDOC_ID=$(gws docs documents create --json '{\"title\":\"x\"}' | jq -r .documentId)\ngws docs documents batchUpdate --params \"{\\\"documentId\\\":\\\"$DOC_ID\\\"}\" --json '...'\n```\n\n**Do this** (two separate shell tool calls):\n\n```bash\n# call 1\ngws docs documents create --json '{\"title\":\"x\"}'\n# (reasoning step: read the documentId from stdout, e.g. \"1AbCdEfGh...\")\n# call 2\ngws docs documents batchUpdate --params '{\"documentId\":\"1AbCdEfGh...\"}' --json '...'\n```\n\n## Rules\n\n- **Never** output secrets (API keys, tokens) directly\n- Prefer `--dry-run` for raw API writes. Before dry-running a helper, inspect its\n skill and `--help`: helpers may authenticate or perform setup first, and\n `gmail +watch` is explicitly unsafe to dry-run.\n- Use `--sanitize` for PII/content safety screening\n- Inspect failures and try alternate reads, filters, or resources when safe. Never\n repeat a write or send after an ambiguous outcome; verify whether it succeeded first.\n- **Be proactive, not inquisitive.** Gather context yourself before asking the user. Propose concrete actions rather than asking open-ended questions.\n\n---\n\n# Availability — Shared Reference\n\n## Read the calendar before you state availability\n\nOffering, confirming, or declining a time on the user's behalf is a claim about\ntheir calendar. Read the calendar before writing that claim — not afterwards,\nand not only when you are creating the event.\n\nThis applies to outbound content, not just event creation:\n\n- a reply that offers windows (\"I have Tuesday 10–12 open\")\n- a message that accepts or declines a time someone else proposed\n- a summary that tells the user when they are free\n\nWriting any of these without a calendar read is a guess, and it reaches the\nrecipient as a commitment.\n\n## Reading it\n\n```bash\n# The user's own day. --today / --tomorrow / --week / --days N — there is no --date.\ngws calendar +agenda --tomorrow\n\n# An arbitrary window. Note the resource path is `events`, with no `users` prefix.\ngws calendar events list --params '{\"calendarId\":\"primary\",\"timeMin\":\"2026-08-11T00:00:00-07:00\",\"timeMax\":\"2026-08-12T00:00:00-07:00\",\"singleEvents\":true,\"orderBy\":\"startTime\"}'\n\n# Other attendees, before proposing a slot to them.\ngws calendar freebusy query --json '{\"timeMin\":\"2026-08-11T15:00:00Z\",\"timeMax\":\"2026-08-12T01:00:00Z\",\"items\":[{\"id\":\"someone@example.com\"}]}'\n```\n\nThen offer only the times you actually saw free. If the calendar call fails,\nsay so and ask the user — do not fall back to a guessed window.\n\n## See Also\n\n- [gws-calendar](../gws-calendar/SKILL.md) — full calendar API surface\n- [gws-calendar-agenda](../gws-calendar-agenda/SKILL.md) — `+agenda` flags in full\n- [recipe-find-free-time](../recipe-find-free-time/SKILL.md) — free/busy across several people\n\n---\n\n# gmail (v1)\n\n```bash\ngws gmail users [sub-resource ...] <method> [flags]\n```\n\n## Helper Commands\n\n| Command | Description |\n| ----------------------------------------------- | -------------------------------------------------------------- |\n| [`+send`](../gws-gmail-send/SKILL.md) | Send an email immediately |\n| [draft](../gws-gmail-draft/SKILL.md) | Create a draft email — saved, not sent |\n| [`+triage`](../gws-gmail-triage/SKILL.md) | Show unread inbox summary (sender, subject, date) |\n| [`+reply`](../gws-gmail-reply/SKILL.md) | Reply to a message (handles threading automatically) |\n| [`+reply-all`](../gws-gmail-reply-all/SKILL.md) | Reply-all to a message (handles threading automatically) |\n| [`+forward`](../gws-gmail-forward/SKILL.md) | Forward a message to new recipients |\n| `+read` | Read a message and extract its body or headers |\n| `+watch` | Stream new messages using Gmail push notifications and Pub/Sub |\n\n`gws gmail +watch --dry-run` is unsafe in pinned `gws` v0.22.5: it attempts Gmail authentication and Pub/Sub topic setup before honoring `--dry-run`. Use `gws gmail +watch --help` for planning. Run `+watch` only when the user requests a live watch and approves the persistent Pub/Sub resources.\n\n## The user's signature\n\nGmail adds a signature in its own compose window, not on the server, so a message\nsent through `gws` — helper or raw API — arrives without the one the user set in\nGmail's settings. Read it once per conversation and put it on every message you\nsend, reply to, or draft on their behalf:\n\n```bash\ngws gmail users settings sendAs list --params '{\"userId\":\"me\"}'\n```\n\nTake `signature` (HTML) from the alias the mail goes out as: the entry whose\n`sendAsEmail` matches the account, otherwise the one with `\"isDefault\": true`. An\nempty string means the account has no signature — send without one. Append it\nbelow the body with `--html`, verbatim: never retype, reword, or reformat it, and\nnever add a second copy when the message you are replying to already quotes one.\n\nThis needs no extra permission. `gmail.modify`, which the Google connector already\ngrants, covers `settings.sendAs.list`.\n\n## Message and thread ids\n\nA send returns `id`, `threadId`, and `labelIds`. Those address the next call —\nthreading a reply, labelling what was just sent — and mean nothing to the user.\nNever read one back to them; name the mail by its subject and recipient.\n\n### Passing message ids between commands\n\nWhen extracting a message id from JSON for another API call, use `jq -r`,\nnot `jq` or `jq -c`. Non-raw output keeps the JSON quote characters, so Gmail\nreceives the quotes as part of the id and rejects the request with HTTP 400. An\nid is plain hex, so once extracted it can sit inside the next `--params` JSON\ndirectly; anything free-form (a search query, a subject) goes through\n`jq --arg` instead of being interpolated:\n\n```bash\nmessage_id=$(gws gmail users messages list --params '{\"userId\":\"me\",\"q\":\"is:unread\",\"maxResults\":1}' | jq -r '.messages[0].id')\ngws gmail users messages get --params '{\"userId\":\"me\",\"id\":\"'\"$message_id\"'\",\"format\":\"metadata\"}'\n```\n\n## Reading many messages\n\nEvery `gws` process opens its own connection through the identity gateway and\nlooks up the credential again, so a shell loop that runs one process per message\nspends most of its time on connection setup. A sweep over a few hundred messages\ntakes minutes that way. Start each scan in an empty directory, so nothing from an\nearlier or interrupted scan leaks into this one, and read in bulk:\n\n1. **Headers for a whole query in one process.** `+triage` lists the matches\n and fetches sender, subject, and date for all of them concurrently, keyed by\n `id`. It takes any Gmail search, not just `is:unread`, and `--max` goes up to 500. Write each query to its own file with `>`, never `>>`, so a rerun\n replaces the result instead of appending to it:\n\n```bash\ngws gmail +triage --query 'from:instacart.com newer_than:1y' --max 200 --format json | jq -c '.[]' > hits_instacart.jsonl\ngws gmail +triage --query 'subject:(receipt OR \"order confirmation\") newer_than:1y' --max 200 --format json | jq -c '.[]' > hits_receipts.jsonl\n```\n\n2. **Dedupe across queries before any per-message call.** Overlapping searches\n return the same message under each of them. Keep each id once, so nothing\n downstream fetches a message twice:\n\n```bash\njq -rs 'unique_by(.id) | .[].id' hits_*.jsonl > ids.txt\n```\n\n3. **Bodies once each, in parallel, from a script file.** `messages get`\n returns one message per call, so run the calls concurrently (8 at a time\n stays inside Gmail's per-user burst limit) and save each body to a file.\n Later questions are answered with `grep` and `jq` over the files, never by\n fetching again:\n\n```bash\n# getbody.sh: the full message for the id in $1, saved as bodies/<id>.json\nmkdir -p bodies\ngws gmail users messages get --params '{\"userId\":\"me\",\"id\":\"'\"$1\"'\",\"format\":\"full\"}' | jq -c . > \"bodies/$1.json\"\n```\n\n```bash\nxargs -P 8 -n 1 bash getbody.sh < ids.txt\n```\n\nDo not run `messages get` in a `while read` loop, one message at a time, for\nheaders or for bodies: `+triage` already covers headers, and bodies belong in\nthe parallel script above.\n\n## API Resources\n\n### users\n\n- `getProfile` — Gets the current user's Gmail profile.\n- `stop` — Stop receiving push notifications for the given user mailbox.\n- `watch` — Set up or update a push notification watch on the given user mailbox.\n- `drafts` — Operations on the 'drafts' resource\n- `history` — Operations on the 'history' resource\n- `labels` — Operations on the 'labels' resource\n- `messages` — Operations on the 'messages' resource\n- `settings` — Operations on the 'settings' resource\n- `threads` — Operations on the 'threads' resource\n\n## Discovering Commands\n\nBefore calling any API method, inspect it:\n\n```bash\n# Browse resources and methods\ngws gmail --help\n\n# Inspect a method's required params, types, and defaults\ngws schema gmail.users[.<sub-resource>...].<method>\n```\n\nUse the method schema output to build your `--params` and `--json` flags.\n\n## Available skills\n\n- `_system/gws-gmail-send` gws-gmail-send: Gmail: Send an email.\n- `_system/gws-gmail-draft` gws-gmail-draft: Gmail: Create a draft email — saved, never sent.\n- `_system/gws-gmail-triage` gws-gmail-triage: Gmail: Show unread inbox summary (sender, subject, date).\n- `_system/gws-gmail-reply` gws-gmail-reply: Gmail: Reply to a message (handles threading automatically).\n- `_system/gws-gmail-reply-all` gws-gmail-reply-all: Gmail: Reply-all to a message (handles threading automatically).\n- `_system/gws-gmail-forward` gws-gmail-forward: Gmail: Forward a message to new recipients.\n- `_system/recipe-email-drive-link` recipe-email-drive-link: Share a Google Drive file and email the link with a message to recipients.\n- `_system/recipe-save-email-attachments` recipe-save-email-attachments: Find Gmail messages with attachments and save them to a Google Drive folder.\n- `_system/recipe-draft-email-from-doc` recipe-draft-email-from-doc: Read content from a Google Doc and use it as the body of a Gmail message.\n- `_system/recipe-label-and-archive-emails` recipe-label-and-archive-emails: Apply Gmail labels to matching messages and archive them to keep your inbox clean.\n- `_system/recipe-save-email-to-doc` recipe-save-email-to-doc: Save a Gmail message body into a Google Doc for archival or reference.\n- `_system/recipe-create-vacation-responder` recipe-create-vacation-responder: Enable a Gmail out-of-office auto-reply with a custom message and date range.\n\nIf one clearly applies, load it with the skill tool by its address, then follow its instructions.\n\nFollow these instructions as your guide. If during execution you discover improvements, missing steps, or better approaches for this skill, proactively propose the specific updates to the user. Use the skill tool's create/edit actions to save improvements.", "resolved_from": null, "success": true}, "status": "completed", "tool_name": "skill"}

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{"dispatch_id": "toolu_01Fug82j6dZRHU5YU62uoJ5g", "elapsed": null, "error": "", "fields": {"progress": {"message": "", "metadata": {"browser_chain": false, "command": "mkdir -p /workspace/wardrobe && cd /workspace/wardrobe && gws gmail +triage --query 'category:promot...", "phase": "starting"}}, "status": "running", "updatedAt": 1788576621071}, "result": null, "status": "running", "tool_name": "shell"}

{"dispatch_id": "toolu_01Fug82j6dZRHU5YU62uoJ5g", "elapsed": 1.124485172, "error": "", "result": "0 promos.jsonl\n\n--- stderr ---\nNo messages found matching query: category:promotions newer_than:1y (clothing OR style OR wardrobe OR shop OR sale OR \"new arrivals\")\n", "status": "completed", "tool_name": "shell"}

{"dispatch_id": "toolu_014seF5Wicko2grYpS8gjfDi", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {"command": "cd /workspace/wardrobe && gws gmail +triage --query 'newer_than:2y (order OR shipped OR \"your order\" OR size OR jeans OR shirt OR shoes OR sneakers)' --max 100 --format json | jq -c '.[]' > orders.jsonl; wc -l < orders.jsonl; jq -r '\"\\(.from) | \\(.subject)\"' orders.jsonl | head -50; echo ---; gws gmail +triage --query 'newer_than:2y' --max 60 --format json | jq -r '\"\\(.from) | \\(.subject)\"' | head -60", "credentials": "[REDACTED]", "timeout": 120}, "tool_name": "shell"}

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{"dispatch_id": "toolu_014seF5Wicko2grYpS8gjfDi", "elapsed": 0.852082282, "error": "", "result": "0\n---\nnull | null\n\n--- stderr ---\nNo messages found matching query: newer_than:2y (order OR shipped OR \"your order\" OR size OR jeans OR shirt OR shoes OR sneakers)\n", "status": "completed", "tool_name": "shell"}

{"dispatch_id": "toolu_01AR4ytQEEcHV9qDCaTpUKXY", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {"final": true, "message": "Your inbox has no shopping history to read, so I need a couple of style signals before I build the site.\n\nQuickest path: tell me 2-3 brands you like, a style figure you'd dress like, your budget per piece, and your sizes (top / pants / shoe).\n\nOr I can pull your taste from Pinterest or Instagram if you'd rather connect one."}, "tool_name": "send_message"}

{"dispatch_id": "toolu_01AR4ytQEEcHV9qDCaTpUKXY", "elapsed": 3.913799476, "error": "", "result": "Delivered (confirmed) as 2 messages. Your draft was polished into texting register, so the wording differs from what you wrote; this is exactly what the user sees:\n1) I need a few style signals before I build your fall wardrobe site: 2 or 3 brands you like, a style figure you’d dress like, your budget per piece, and your sizes for tops, pants, and shoes.\n2) Or connect Pinterest or Instagram, and I can pull your taste from there.\nThese are your words now, and this is the whole reply: the delivery layer chose its density and shape by design. Never dispute, re-explain, or apologize for the phrasing, and never send a supplement to restore detail it left out. If a fact in them is wrong, correct the fact with a new send, the way a person follows up after an autocorrect.\n\nYour turn continues.\nanswers: e50bbd98-9cbd-44db-975d-3946bc37d411", "status": "completed", "tool_name": "send_message"}

Build me a monthly budget

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{"dispatch_id": "toolu_014uQ9U9fQZpqGKoNFaSrMy9", "elapsed": 0.00472017, "error": "", "result": {"address": "_system/planning-budgets", "content": "# Building a budget\n\nHow to handle a request to build a personal budget.\n\n## Before spinning up browser\n\n- Search emails and memory for checking, savings, credit card accounts, or financial documents.\n- Ask the user for relevant details on money that lands in accounts after taxes, and what any fixed expenses are (i.e., rent, mortgage, etc.)\n- If the user does not provide categories, let the user provide missing information. Do not include too many line items but include a minimum of 7 categories. A high schooler should be able to read and understand the budget.\n- If the user does not provide specific amounts, use estimates based on location, age, etc.\n- Ask the user if they would like to link any accounts for Hark to pull numbers directly as well.\n- Ask the user what their budgeting priorities (e.g., saving for something, paying down something).\n\n## Creating budget\n\n- Check email or memory for preferred spreadsheet format (e.g., Google Sheets, CSV, XLSX, etc.)\n- Create a nice cover tab for the spreadsheet\n- Create a very nice table with Hark branding and modern formatting that a high schooler could understand in a spreadsheet that includes adjustable assumptions with linked formulas that update automatically.\n- Make sure all inputs are in blue and linked formulas are in green.\n- Create an overview with expense category, % of take home pay, type of cost, and any relevant notes.\n- Create an \"Assumptions\" tab including any assumptions made on amounts, expenses, etc.\n- Create a \"Net Worth\" tab including any other cash, investments, etc.\n\n## Implementing budget\n\n- Apply the credit card promos skill.\n- Apply the cancelling subscriptions skill.\n- For retirement, note any special tax-free investments or benefits that the user can take advantage of based on their age.\n\nFollow these instructions as your guide. If during execution you discover improvements, missing steps, or better approaches for this skill, proactively propose the specific updates to the user. Use the skill tool's create/edit actions to save improvements.", "resolved_from": null, "success": true}, "status": "completed", "tool_name": "skill"}

{"dispatch_id": "toolu_01E373XcmzkfMaRvumRJ4CL9", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {"action": "search", "query": "budget income expenses rent salary finances"}, "tool_name": "memory"}

{"dispatch_id": "toolu_01UZF3iDzGwxkUmpnAx3p1b1", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {"final": true, "message": "Happy to. A few things so the numbers are yours, not generic:\n\n1. Monthly take-home pay (after taxes), and anyone else's income in the household?\n2. Fixed costs: rent/mortgage, car, insurance, debt payments?\n3. City you're in, and any savings goal you're aiming at (house, travel, paying down debt)?\n4. Want me to scan your Gmail for statements to pull real numbers, and do you prefer Google Sheets or Excel?\n\nIf you'd rather not dig, give me take-home pay and rent and I'll estimate the rest for your area."}, "tool_name": "send_message"}

{"dispatch_id": "toolu_01UZF3iDzGwxkUmpnAx3p1b1", "elapsed": 4.638058043, "error": "", "result": "Delivered (confirmed) as 2 messages. Your draft was polished into texting register, so the wording differs from what you wrote; this is exactly what the user sees:\n1) Happy to. Send me your monthly take-home pay, rent or mortgage, car and insurance costs, debt payments, city, and savings goal.\n2) If you’d rather keep it simple, give me your take-home pay and rent, and I’ll estimate the rest for your area. Do you want Google Sheets or Excel?\nThese are your words now, and this is the whole reply: the delivery layer chose its density and shape by design. Never dispute, re-explain, or apologize for the phrasing, and never send a supplement to restore detail it left out. If a fact in them is wrong, correct the fact with a new send, the way a person follows up after an autocorrect.\n\nYour turn continues.\nanswers: 24fd69de-177b-4405-9283-c3c45af90692", "status": "completed", "tool_name": "send_message"}

I need a reservation for 5 on Tuesday or Wednesday in San Francisco. I'm thinking Ernest, Cotogna, Rintaro, House of Prime Rib or Zuni. Let me know if any are available

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{"dispatch_id": "toolu_01XRPDs8vYRFvDEUmrWcd4C7", "elapsed": 0.005408656, "error": "", "result": {"address": "_system/booking-restaurants", "content": "# Booking a restaurant reservation\n\nHow to handle a request to book a table at a restaurant.\n\n## Before spinning up browser\n\n- Search emails, calendar and memory for existing details on the reservation.\n- Check emails and memory for any membership that unlocks additional inventory (e.g., AmEx Platinum for Resy, Chase Sapphire Reserve, Tock Access, Dorsia).\n- Confirm missing info on restaurant, party size, date, time, dietary restrictions and city or neighborhood before searching. If the user gives a vague time (e.g., \"Friday night\"), ask for an acceptable window of time. Ask the user if you should book using the city from location data or a different city.\n\nIf a restaurant is specified:\n\n- Use the restaurant's website first before any linked reservation platforms, Google, etc. to check if the restaurant is available during the date and time specified. Scan for any information on closures or limited hours. Run all searches in parallel in background.\n- If no availability at the requested time, notify the user with other availability at the restaurant within 24 hours and present three comparable restaurants for the requested date and time. Run all searches in parallel in background.\n- If available, note every constraint (e.g., allergies, dietary rules, accessibility needs, seating preference, stroller or high chair, dog, and special occasions (e.g., birthday, anniversary, client dinner, first date)). If a dietary restriction is provided, check the current menu for a real option rather than trusting a cuisine tag.\n- If available, prioritize the best table, not just the earliest slot, such as dining room over bar or counter unless the user specifies a preference, patio when weather allows, or a quiet table for a conversation-heavy dinner. Note when the only availability is a bar seat or a 5:00 / 10:00 shoulder slot.\n- Check the cancellation terms before booking, including, but not limited to, card-on-file holds, no-show fees, prepaid tickets, and the cancellation deadline. Flag any total prepaid or nonrefundable booking to the user before committing.\n\nIf nothing is available at the restaurant at the requested time:\n\n- Join the waitlist or notify list where one exists, and suggest a comparable alternative booking as a backup. Note any contact information (e.g., phone number) to reach out to the restaurant directly if available.\n- If there is an email listed on the website, also offer to draft and send an email requesting a reservation for the party size, time and date specified.\n- For a restaurant where reservations open at a specific date / time in the future, note when reservations drop (many release at a fixed hour, at a specific number of days out) and create a scheduled task to book at that exact moment. If there is a fee to book or cancellation fee, disclose total cost and request pre-approval to schedule. If approval is not granted, do not book when spot opens up and only notify the user of availability via message and text (if connected).\n- Create a scheduled task to re-check availability every hour until the date. Report back via message and text as well only when something in the stated window actually opens. If there is a fee to book or cancellation fee, disclose total cost and request pre-approval to schedule. If approval is not granted, do not book when spot opens up and only notify the user of availability via message and text (if connected).\n- If the user passes on every option, create a scheduled task to run a fresh search the next day but only notify the user if there is availability.\n\nIf a restaurant is unspecified:\n\n- Prioritize and suggest favorites from email and memory: Look for OpenTable, Resy, Tock, Yelp Reservations, SevenRooms, Dorsia, and any restaurant's own booking page. Ask user to sign in to the reservation platform. Run any searches in background and do not display to user.\n- In parallel, use Michelin, Eater, Infatuation, Yelp, Google reviews, third-party sources, and local best restaurant lists to suggest three additional restaurants with availability during the date and time specified at three different price points ($$, $$$, $$$$). Do not spin up browser or tell the user how the list was built.\n- If available, note every constraint (e.g., allergies, dietary rules, accessibility needs, stroller or high chair, dog, and special occasions (e.g., birthday, anniversary, client dinner, first date)). If a dietary restriction is provided, check the current menu for a real option rather than trusting a cuisine tag.\n- If available, prioritize the best table, not just the earliest slot, such as dining room over bar or counter unless the user specifies a preference, patio when weather allows, or a quiet table for a conversation-heavy dinner. Note when the only availability is a bar seat or a 5:00 / 10:00 shoulder slot.\n- Check the cancellation terms before booking, including, but not limited to, card-on-file holds, no-show fees, prepaid tickets, and the cancellation deadline. Flag any total prepaid or nonrefundable booking to the user before committing.\n\n## Confirming and placing the booking\n\n- Book under the user's existing account so the reservation shows in their app.\n- Put any constraints in the guest notes: allergies, occasion, seating preference, and anything the kitchen needs to know in advance.\n- Before committing anything, show a summary: restaurant, address, date, time, party size, table or seating type, cancellation policy and deadline, any deposit or card hold, dress code, any points or benefits associated with the booking, and the notes being sent. Book only after explicit confirmation of that specific summary.\n- A different restaurant, time, or party size needs a new confirmation.\n- For a prepaid or ticketed booking, treat it as a purchase and get explicit consent to charge.\n\n## After booking\n\n- Confirm the restaurant, address, date, time, party size, and cancellation deadline, and add it to the user's calendar with the address and confirmation number, including travel time.\n- If the booking is at a compromised time or seat, create a scheduled task to check every hour for a better slot in their stated window. Ask the user upfront if they should move the reservation when there is a clear upgrade at no cost without approval. Ask also when it is a tradeoff.\n- If the user is hosting others, offer to send the details to the guests, and ask names and contact information (e.g., email or other preferred channel) if unknown. Draft casual basic message with reservation information. Confirm before sending emails including calendar invites.\n- If there is a special occasion, ask if the user would like to schedule a reminder to order a cake or flowers (e.g., birthday or first date).\n- Create a panel/widget: build it with the reservation details, address, directions, menu, commonly recommended items. Schedule deletion after the meal.\n- Create a scheduled task to remind the user the day before: confirm the reservation still stands, remind the user of the cancellation deadline while it is still free to cancel, send the menu and brief overview of the most popular dishes, and check whether they want a rideshare scheduled based on traffic if they have not already booked. Do not add to scheduled tasks panel/widget.\n- Create a scheduled task the day of: message the user if the restaurant cancels, changes the time, or closes unexpectedly. Offer to book a new reservation for the same date and time.\n- Create a scheduled task the day of: if the user takes rideshares and has not booked one, offer to schedule their preferred ride accounting for traffic and parking.\n- If the user stops responding without booking, follow up in 24 hours to see if they still need the reservation.\n\n## Canceling the reservation\n\n- If the user cancels the reservation, make sure to remove any associated calendar holds and panels/widgets.\n\nFollow these instructions as your guide. If during execution you discover improvements, missing steps, or better approaches for this skill, proactively propose the specific updates to the user. Use the skill tool's create/edit actions to save improvements.", "resolved_from": null, "success": true}, "status": "completed", "tool_name": "skill"}

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{"dispatch_id": "toolu_01FodUXsr2y9LFiebWFF7nB8", "elapsed": 0.131055912, "error": "", "result": {"results": [{"citation": "seg://e5d77a11", "score": 0.6, "snippet": "On September 4, 2026, Test asked Hark to book a doctor’s appointment. Hark asked for the doctor type, preferred timing, usual clinic or provider, and confirmation of the city near Santa Clara County. Test then asked Hark to build a monthly budget; Hark requested monthly take-home pay, major fixed costs, and a preference between an editable Google Sheet and an in-chat budget. Test also requested two tickets to The Odyssey in 70mm IMAX for the weekend of September 5–6, 2026. Hark searched Bay Area options and initiated browser research focused on AMC Metreon 16 & IMAX in San Francisco and other possible 70mm IMAX theaters, with instructions to report showtimes, two-adult pricing, and availability of two adjacent seats without purchasing tickets.", "source": "episode", "subject": "Doctor, Budget, and Odyssey IMAX Requests", "summary": "Test made three assistance requests: scheduling a medical appointment, creating a monthly budget, and finding two Odyssey 70mm IMAX tickets for September 5–6, 2026. Hark gathered required details for the first two requests and began researching theater showtimes and seat availability for the third without making a purchase.", "timestamp": "2026-09-04 10:04 AM PDT (UTC-07:00)"}, {"citation": "seg://ede1c125", "confidence": "high", "score": 0.6, "segment_id": "ede1c125-7479-589c-b256-768fe2099bb9", "snippet": "Test has children and wants their school events and deadlines tracked across Gmail, ParentSquare, and PowerSchool.", "source": "fact", "timestamp": "2026-09-04 10:26 AM PDT (UTC-07:00)"}, {"citation": "seg://ede1c125", "score": 0.5527, "snippet": "On September 4, 2026, Test asked Hark to track all of Test’s children’s school events and deadlines across Gmail, ParentSquare, and PowerSchool. Hark initiated ParentSquare sign-in and instructed Test to tap the one-time sign-in button, then provide the district-specific PowerSchool URL and each child’s first name and school. Hark planned to compile a running calendar and add a daily-refreshing widget to Test’s Home; the calendar was not yet created.", "source": "episode", "subject": "School Events and Deadlines Tracking Setup", "summary": "Test requested centralized tracking of children’s school events and deadlines across Gmail, ParentSquare, and PowerSchool. ParentSquare sign-in was handed off to Test, while PowerSchool details remained outstanding.", "timestamp": "2026-09-04 10:26 AM PDT (UTC-07:00)"}, {"citation": "seg://13d3cced", "score": 0.344, "snippet": "On September 4, 2026, Test asked Hark to order a 1-meter USB cable and Hario coffee filters from Amazon. The order was not completed during the exchange. Test also asked Hark to arrange a $100 bouquet from Mills Florist for delivery to Test’s mother on September 5, 2026; that order was likewise not placed.", "source": "episode", "subject": "Amazon and Mills Florist Order Requests — September 4, 2026", "summary": "Test made two shopping and delivery requests on September 4, 2026: Amazon items and a $100 next-day bouquet from Mills Florist. Neither transaction was completed in the recorded exchange.", "timestamp": "2026-09-04 10:11 AM PDT (UTC-07:00)"}, {"citation": "seg://cd6ad4de", "score": 0.2981, "snippet": "On September 4, 2026, Test asked Hark to book a doctor’s appointment. Hark asked Test to specify the doctor type, preferred city or area, and insurance plan before searching. Test then asked Hark to turn NVIDIA’s Q2 FY2027 report into a slide deck. Hark verified NVIDIA’s August 26, 2026 press release, including $96.2 billion revenue, $89.0 billion Data Center revenue, 75.0% gross margin, $108.0 billion Q3 guidance, and related balance-sheet and cash-flow figures. Hark created a 10-slide board-style deck using the bluechip palette, built deck.pptx and deck.html, and identified a storyline warning that the argument needed another section divider. Hark began revising the deck by adding a first section divider titled “The quarter grew on volume and on margin,” but the revised deck was not shown as rebuilt or delivered.", "source": "episode", "subject": "Doctor Appointment Request and NVIDIA Q2 FY2027 Slide Deck", "summary": "Test requested a medical appointment and later requested an NVIDIA Q2 FY2027 slide deck. The deck was researched from NVIDIA’s official release and successfully built in draft form, with a storyline revision still in progress.", "timestamp": "2026-09-04 5:27 PM PDT (UTC-07:00)"}]}, "status": "completed", "tool_name": "memory"}

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What time window works, something like 6 to 8 p.m.? I’m checking Tuesday, 9/8, and Wednesday, 9/9, for five.

Cotogna Tuesday is the only real prime time option, but it’s outdoors. Ernest at 5:30 Wednesday is the best indoor table.

### San Francisco reservations · Comparison table | Place | Tue 9/8 | Wed 9/9 | |---|---|---| | [Cotogna](https://cotognasf.com/) | Lots: 5:00, 5:15, 5:45, 6:45, 7:15, 7:45, 8:00–9:00. All **outdoor** patio/parklet (heaters, blankets) | Nothing | | [Ernest](https://www.ernestsf.com/) | Closed Tuesdays | One slot: **5:30pm**, main dining room | | [House of Prime Rib](https://houseofprimerib.net/) | 10:00pm only | 9:30pm or 10:00pm | | [Rintaro](https://izakayarintaro.com/) | Closed Tuesdays | Sold out for 5 (next is Sun 9/20) | | [Zuni](https://zunicafe.com/) | Won't take 5 online either night, call (415) 552-2522 | same |

Cotogna and House of Prime Rib charge $50 per person if you cancel inside 24 hours. Want me to grab one? I can also call Zuni or Cotogna about an indoor table for 5.

I need a reservation for 5 on Tuesday or Wednesday in San Francisco. I'm thinking Ernest, Cotogna, Rintaro, House of Prime Rib or Zuni. Let me know if any are available

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{"dispatch_id": "toolu_01XRPDs8vYRFvDEUmrWcd4C7", "elapsed": 0.005408656, "error": "", "result": {"address": "_system/booking-restaurants", "content": "# Booking a restaurant reservation\n\nHow to handle a request to book a table at a restaurant.\n\n## Before spinning up browser\n\n- Search emails, calendar and memory for existing details on the reservation.\n- Check emails and memory for any membership that unlocks additional inventory (e.g., AmEx Platinum for Resy, Chase Sapphire Reserve, Tock Access, Dorsia).\n- Confirm missing info on restaurant, party size, date, time, dietary restrictions and city or neighborhood before searching. If the user gives a vague time (e.g., \"Friday night\"), ask for an acceptable window of time. Ask the user if you should book using the city from location data or a different city.\n\nIf a restaurant is specified:\n\n- Use the restaurant's website first before any linked reservation platforms, Google, etc. to check if the restaurant is available during the date and time specified. Scan for any information on closures or limited hours. Run all searches in parallel in background.\n- If no availability at the requested time, notify the user with other availability at the restaurant within 24 hours and present three comparable restaurants for the requested date and time. Run all searches in parallel in background.\n- If available, note every constraint (e.g., allergies, dietary rules, accessibility needs, seating preference, stroller or high chair, dog, and special occasions (e.g., birthday, anniversary, client dinner, first date)). If a dietary restriction is provided, check the current menu for a real option rather than trusting a cuisine tag.\n- If available, prioritize the best table, not just the earliest slot, such as dining room over bar or counter unless the user specifies a preference, patio when weather allows, or a quiet table for a conversation-heavy dinner. Note when the only availability is a bar seat or a 5:00 / 10:00 shoulder slot.\n- Check the cancellation terms before booking, including, but not limited to, card-on-file holds, no-show fees, prepaid tickets, and the cancellation deadline. Flag any total prepaid or nonrefundable booking to the user before committing.\n\nIf nothing is available at the restaurant at the requested time:\n\n- Join the waitlist or notify list where one exists, and suggest a comparable alternative booking as a backup. Note any contact information (e.g., phone number) to reach out to the restaurant directly if available.\n- If there is an email listed on the website, also offer to draft and send an email requesting a reservation for the party size, time and date specified.\n- For a restaurant where reservations open at a specific date / time in the future, note when reservations drop (many release at a fixed hour, at a specific number of days out) and create a scheduled task to book at that exact moment. If there is a fee to book or cancellation fee, disclose total cost and request pre-approval to schedule. If approval is not granted, do not book when spot opens up and only notify the user of availability via message and text (if connected).\n- Create a scheduled task to re-check availability every hour until the date. Report back via message and text as well only when something in the stated window actually opens. If there is a fee to book or cancellation fee, disclose total cost and request pre-approval to schedule. If approval is not granted, do not book when spot opens up and only notify the user of availability via message and text (if connected).\n- If the user passes on every option, create a scheduled task to run a fresh search the next day but only notify the user if there is availability.\n\nIf a restaurant is unspecified:\n\n- Prioritize and suggest favorites from email and memory: Look for OpenTable, Resy, Tock, Yelp Reservations, SevenRooms, Dorsia, and any restaurant's own booking page. Ask user to sign in to the reservation platform. Run any searches in background and do not display to user.\n- In parallel, use Michelin, Eater, Infatuation, Yelp, Google reviews, third-party sources, and local best restaurant lists to suggest three additional restaurants with availability during the date and time specified at three different price points ($$, $$$, $$$$). Do not spin up browser or tell the user how the list was built.\n- If available, note every constraint (e.g., allergies, dietary rules, accessibility needs, stroller or high chair, dog, and special occasions (e.g., birthday, anniversary, client dinner, first date)). If a dietary restriction is provided, check the current menu for a real option rather than trusting a cuisine tag.\n- If available, prioritize the best table, not just the earliest slot, such as dining room over bar or counter unless the user specifies a preference, patio when weather allows, or a quiet table for a conversation-heavy dinner. Note when the only availability is a bar seat or a 5:00 / 10:00 shoulder slot.\n- Check the cancellation terms before booking, including, but not limited to, card-on-file holds, no-show fees, prepaid tickets, and the cancellation deadline. Flag any total prepaid or nonrefundable booking to the user before committing.\n\n## Confirming and placing the booking\n\n- Book under the user's existing account so the reservation shows in their app.\n- Put any constraints in the guest notes: allergies, occasion, seating preference, and anything the kitchen needs to know in advance.\n- Before committing anything, show a summary: restaurant, address, date, time, party size, table or seating type, cancellation policy and deadline, any deposit or card hold, dress code, any points or benefits associated with the booking, and the notes being sent. Book only after explicit confirmation of that specific summary.\n- A different restaurant, time, or party size needs a new confirmation.\n- For a prepaid or ticketed booking, treat it as a purchase and get explicit consent to charge.\n\n## After booking\n\n- Confirm the restaurant, address, date, time, party size, and cancellation deadline, and add it to the user's calendar with the address and confirmation number, including travel time.\n- If the booking is at a compromised time or seat, create a scheduled task to check every hour for a better slot in their stated window. Ask the user upfront if they should move the reservation when there is a clear upgrade at no cost without approval. Ask also when it is a tradeoff.\n- If the user is hosting others, offer to send the details to the guests, and ask names and contact information (e.g., email or other preferred channel) if unknown. Draft casual basic message with reservation information. Confirm before sending emails including calendar invites.\n- If there is a special occasion, ask if the user would like to schedule a reminder to order a cake or flowers (e.g., birthday or first date).\n- Create a panel/widget: build it with the reservation details, address, directions, menu, commonly recommended items. Schedule deletion after the meal.\n- Create a scheduled task to remind the user the day before: confirm the reservation still stands, remind the user of the cancellation deadline while it is still free to cancel, send the menu and brief overview of the most popular dishes, and check whether they want a rideshare scheduled based on traffic if they have not already booked. Do not add to scheduled tasks panel/widget.\n- Create a scheduled task the day of: message the user if the restaurant cancels, changes the time, or closes unexpectedly. Offer to book a new reservation for the same date and time.\n- Create a scheduled task the day of: if the user takes rideshares and has not booked one, offer to schedule their preferred ride accounting for traffic and parking.\n- If the user stops responding without booking, follow up in 24 hours to see if they still need the reservation.\n\n## Canceling the reservation\n\n- If the user cancels the reservation, make sure to remove any associated calendar holds and panels/widgets.\n\nFollow these instructions as your guide. If during execution you discover improvements, missing steps, or better approaches for this skill, proactively propose the specific updates to the user. Use the skill tool's create/edit actions to save improvements.", "resolved_from": null, "success": true}, "status": "completed", "tool_name": "skill"}

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{"dispatch_id": "toolu_01AokVttWcgMvMhXvmzN8HkA", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {"final": true, "in_response_to": "74bd19c2-5be6-41c2-948c-7c07f1d2cb1d", "message": "Three of the five have something for 5:\n\n| Place | Tue 9/8 | Wed 9/9 |\n|---|---|---|\n| [Cotogna](https://cotognasf.com/) | Lots: 5:00, 5:15, 5:45, 6:45, 7:15, 7:45, 8:00–9:00. All **outdoor** patio/parklet (heaters, blankets) | Nothing |\n| [Ernest](https://www.ernestsf.com/) | Closed Tuesdays | One slot: **5:30pm**, main dining room |\n| [House of Prime Rib](https://houseofprimerib.net/) | 10:00pm only | 9:30pm or 10:00pm |\n| [Rintaro](https://izakayarintaro.com/) | Closed Tuesdays | Sold out for 5 (next is Sun 9/20) |\n| [Zuni](https://zunicafe.com/) | Won't take 5 online either night, call (415) 552-2522 | same |\n\nCotogna Tuesday is the only real prime-time option, but you'd be outside. Ernest 5:30 Wednesday is the best indoor table. Both Cotogna and HOPR charge $50/person if you cancel inside 24 hours.\n\nWant me to grab one? I can also call Zuni or Cotogna about an indoor 5-top."}, "tool_name": "send_message"}

{"dispatch_id": "toolu_01AokVttWcgMvMhXvmzN8HkA", "elapsed": 6.56871211, "error": "", "result": "Delivered (confirmed) as 3 messages. Your draft was polished into texting register, so the wording differs from what you wrote; this is exactly what the user sees:\n1) Cotogna Tuesday is the only real prime time option, but it’s outdoors. Ernest at 5:30 Wednesday is the best indoor table.\n2) ### San Francisco reservations · Comparison table\n\n| Place | Tue 9/8 | Wed 9/9 |\n|---|---|---|\n| [Cotogna](https://cotognasf.com/) | Lots: 5:00, 5:15, 5:45, 6:45, 7:15, 7:45, 8:00–9:00. All **outdoor** patio/parklet (heaters, blankets) | Nothing |\n| [Ernest](https://www.ernestsf.com/) | Closed Tuesdays | One slot: **5:30pm**, main dining room |\n| [House of Prime Rib](https://houseofprimerib.net/) | 10:00pm only | 9:30pm or 10:00pm |\n| [Rintaro](https://izakayarintaro.com/) | Closed Tuesdays | Sold out for 5 (next is Sun 9/20) |\n| [Zuni](https://zunicafe.com/) | Won't take 5 online either night, call (415) 552-2522 | same |\n3) Cotogna and House of Prime Rib charge $50 per person if you cancel inside 24 hours. Want me to grab one? I can also call Zuni or Cotogna about an indoor table for 5.\nThese are your words now, and this is the whole reply: the delivery layer chose its density and shape by design. Never dispute, re-explain, or apologize for the phrasing, and never send a supplement to restore detail it left out. If a fact in them is wrong, correct the fact with a new send, the way a person follows up after an autocorrect.\n\nYour turn continues.\nanswers: 74bd19c2-5be6-41c2-948c-7c07f1d2cb1d", "status": "completed", "tool_name": "send_message"}

What time window works, something like 6 to 8 p.m.? I’m checking Tuesday, 9/8, and Wednesday, 9/9, for five.

Cotogna Tuesday is the only real prime time option, but it’s outdoors. Ernest at 5:30 Wednesday is the best indoor table.

I need a reservation for 5 on Tuesday or Wednesday in San Francisco. I'm thinking Ernest, Cotogna, Rintaro, House of Prime Rib or Zuni. Let me know if any are available

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List events at Levi Stadium in October and November

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Levi's Stadium, October and November 2026. These are everything on the books so far.

### Levi's Stadium events · October and November 2026 | Date | Event | |---|---| | Sun Oct 4 | Broncos vs. 49ers | | Sat Oct 10 | Bruno Mars, The Romantic Tour | | Sun Oct 11 | Bruno Mars, The Romantic Tour | | Mon Oct 19 | Commanders vs. 49ers (Monday night) | | Sun Nov 8 | Raiders vs. 49ers | | Sun Nov 29 | Seahawks vs. 49ers |

https://levisstadium.com/events/category/tickets https://levisstadium.com/event/bruno-mars-the-romantic-tour/ https://levisstadium.com/event/bruno-mars-the-romantic-tour-october-11th/

Turn NVIDIA's Q2 report into a slide deck

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{"dispatch_id": "toolu_bdrk_01SNDAqAW9jMMtMWyGNkQfGt", "elapsed": 0.00637455, "error": "", "result": {"address": "_system/build-deck", "content": "# Build a deck\n\nDecide the argument, write it as a spec, and let `deckbuild` lay it out:\n\n```\ndeck.json ──deckbuild──▶ deck.pptx editable native deck (PowerPoint, Slides, Keynote)\n ▶ deck.html preview, identical geometry\n │\n ┌─────────┴─────────┐\n Drive upload OneDrive upload\n (converts to Slides) (opens in PowerPoint)\n```\n\nYour job is the argument and the content. The template owns every position, size,\nand type choice, which is what makes a deck look composed rather than assembled. Backgrounds and chrome — washes, corner fields, column rules, numeral chips — are\ngenerated per slide from the palette. Do not reach for pandoc: its slide output has one content box per slide and cannot express these layouts.\n\n`deckbuild` refuses to write a deck whose text collides, leaves the safe margin,\nor overflows. A non-zero exit is a content problem to fix, not an error to work around.\n\n## Step 1 — Pick a template\n\n```bash\ndeckbuild templates\n```\n\n| Template | The kind of deck it is for |\n| ------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `editorial` | Analysis and internal writing where the argument carries the deck: reviews, post-mortems, recommendations, memos. Serif, essayistic. |\n| `board` | Work that gets decided on: board papers, strategic assessments, equity research, diligence. Dense, numeric, rules instead of colour. |\n| `pitch` | Selling something: fundraising, launches, keynotes, proposals. Sparse, one claim per slide, very large stat numerals. |\n| `feature` | Narrative and brand work where pictures do the arguing: stories, campaigns, product tours. Display type over imagery. |\n| `dossier` | Profiles, bios, team context, and people briefs. Portrait-led, with facts immediately below the name and narrative underneath. |\n| `briefing` | Pre-meeting context, handoffs, blockers, and operating briefs. Answer-first, with ruled status rows and explicit next actions. |\n| `field-notes` | Scouting reports, observations, site visits, and informal profiles. Tactile paper, large type, and offset image treatments. |\n| `studio` | Project decks, portfolios, and creative reviews. Oversized type, multiple image roles, motifs, and changing silhouettes. |\n| `signal` | Provocations, launches, and high-energy keynotes. Oversized condensed type, blunt colour fields, and one soft halo. |\n| `organic` | Purpose, sustainability, place, and wellness. Curved fields, bright natural accents, and framed image windows. |\n| `atlas` | Travel, place, culture, and expedition work. Tracked capitals over 14pt body copy, alternating slate and paper grounds, and a recurring flight of marks. |\n| `bold` | Campaigns, manifestos, launches, and public proposals with a clear point of view. Poster type, hard crops, and alternating fields. |\n| `desk` | Numbers-forward reporting read on a screen: coverage notes, monthly reviews, diligence memos. Near-black ground, tiled cards, one electric accent. |\n| `guideline` | A standard someone has to follow: brand guidelines, design systems, editorial rules. Paper white, ruled pairs, and the system shown as itself. |\n\nPick by what the deck is _for_, not by subject. A revenue review is `editorial`; the same numbers going to a board is `board`; the same company raising money is\n`pitch`. Default to `editorial` when it is genuinely ambiguous, and say which you picked and why.\n\nEach template carries its own palette and typography, so a spec with no `theme` already looks composed.\n\nThe template also fixes two things about how the deck is written, because they follow from what it is for rather than being separate choices:\n\n| Template | Spine | The deck moves by | Titles |\n| ------------------------------------------------- | ----------- | -------------------------------------------------------- | -------- |\n| `board` `editorial` `briefing` | `pyramid` | Answer first, then the support that earns it | `action` |\n| `pitch` | `sparkline` | Alternating what is with what could be, ending on reward | `label` |\n| `feature` `dossier` `field-notes` `studio` `bold` | `thread` | One line followed — through time, place, or theme | `label` |\n\n`deckbuild outline` reports both, so there is nothing to remember.\n\n## Step 2 — Write the outline first\n\n**Write the whole deck as titles before writing a word of content.** One line per slide: layout and title, no real bodies, bullets, or images. Add only the parser stubs a layout requires (`\"items\":[{\"body\":\"TBD\"}]` or `\"image\":\"TBD.png\"`); `outline` ignores them.\nConsultants call this a ghost deck, and skipping it is the single largest source of a deck that reads as a pile of true statements rather than an argument.\n\n```bash\ndeckbuild outline deck.json\n```\n\nIt prints the deck as its titles alone and reports what it can count. Then apply\nthe test the printout exists for:\n\n> **Read only the titles, top to bottom. Do they carry the argument to the\n> recommendation, with no body copy at all?**\n\nIf a title can be deleted without the argument losing a step, that slide has no\njob. If two consecutive titles do not connect — no _therefore_, no _but_, no\n_which is why_ — a step is missing between them. If the last title is not what\nshould happen next, the deck stops rather than concludes.\n\nRevise the titles until the spine reads. Only then fill in bodies.\n\n**A `section` divider states its section's conclusion, not its subject.** This is\nwhere a spine most often dies. `\"Where Boeing wins and where it doesn't\"` is an\nagenda item; `\"Boeing wins widebody and loses narrowbody\"` is the same slide\ncarrying its share of the argument. In an `action` deck a title that opens on\n_what_, _who_, _where_, _why_, _how_ or _when_ is a question fragment and cannot\nbe a finding — `deckbuild outline` flags those, because that much is grammar\nrather than judgement. A `label` deck is free to use them: `\"What changed\"` is a\nfine label.\n\n## Step 3 — Write deck.json\n\nStart from a working spec rather than from memory:\n\n```bash\ndeckbuild example editorial > deck.json\n```\n\nThe shape:\n\n```json\n{\n \"title\": \"Q3 Business Review\",\n \"template\": \"editorial\",\n \"theme\": {\n \"ground\": \"#FBF8F1\",\n \"ink\": \"#0F1512\",\n \"accent\": \"#9A3412\"\n },\n \"brand\": { \"name\": \"Hark\", \"site\": \"hark.com\" },\n \"slides\": [{ \"layout\": \"title\", \"title\": \"Retention is the constraint on growth this quarter\" }]\n}\n```\n\nThree colors and one or two faces. A wider palette is how a deck starts looking\ngenerated. `muted` is derived from `ink` and `ground` unless you set it, and\n`inverse` is the text color used over a dark image or a filled section band.\n\nSeventy-six named palettes ship with deckbuild, each suited to several templates.\nTwenty-two have a dark ground, so a deck read on a screen is a choice rather than an\naccident of which template you picked:\n\n```bash\ndeckbuild palettes # all of them\ndeckbuild palettes board # the ones suited to a template\n```\n\n`deckbuild palettes <template>` is the full list; the table below is a starting\npoint for when the command is unavailable. Pick by the subject's mood; palette is\nthe visual choice that most distinguishes two decks built from one template, and a\ntemplate's first-listed palette is not its default so much as its most obvious.\n\n| Template | Paper grounds | Dark grounds | All |\n| ------------- | ------------------------------------------------------------ | -------------------------------- | --- |\n| `editorial` | `parchment`, `ledger`, `sage`, `newsprint` | `nocturne`, `shale`, `galley` | 15 |\n| `board` | `ledger`, `institutional`, `graphite`, `forest` | `carbon`, `bluechip`, `meridian` | 14 |\n| `pitch` | `graphite`, `signal`, `ultraviolet`, `mint` | `carbon`, `ember`, `flare` | 10 |\n| `feature` | `grove`, `sand`, `tide`, `atlas` | `nocturne`, `petrol`, `ember` | 16 |\n| `dossier` | `parchment`, `ledger`, `sage`, `cobalt-paper` | `nocturne`, `library`, `petrol` | 15 |\n| `briefing` | `institutional`, `graphite`, `memo`, `minute` | `carbon`, `library`, `quorum` | 12 |\n| `field-notes` | `sage`, `cobalt-paper`, `grove`, `haar` | `ember`, `dusk`, `peat` | 15 |\n| `studio` | `parchment`, `cyanotype`, `sand`, `paper-ink` | `basalt`, `darkroom` | 11 |\n| `atlas` | `grove`, `sand`, `tide`, `atlas` | `dusk`, `basalt` | 8 |\n| `signal` | `ultraviolet`, `vermilion`, `hi-vis` | `ember`, `flare`, `riptide` | 7 |\n| `organic` | `sage`, `mint`, `canopy`, `quarry` | `peat`, `understory` | 10 |\n| `bold` | `cobalt-cream`, `vermilion-paper`, `acid-ink`, `violet-milk` | `riptide`, `nettle`, `velvet` | 11 |\n| `desk` | `graphite`, `pewter` | `carbon`, `bluechip`, `meridian` | 8 |\n| `guideline` | `ledger`, `newsprint`, `clay`, `bond` | `shale` | 10 |\n\nName one with `\"palette\": \"graphite\"` and leave `theme` out. Pick by the subject's mood, not by habit; palette is one of the visual choices that distinguishes decks built from the same template. Say which you chose.\n\nUse `theme` only to apply a brand colour on top: `\"palette\": \"signal\"` with\n`\"theme\": {\"accent\": \"#D4623A\"}` keeps the palette and replaces one value.\n\nSeventeen palettes declare a fifth `spot` colour: one rare signal for a mark that\nhas to interrupt rather than harmonise, used by the `atlas_field` treatment and\nby directional marks. The other fifty-nine leave it unset and those marks fall\nback to the accent. Do not add a `spot` to a palette that has none, since a spot every\npalette carries is not a spot.\n\n### Choose a treatment when the composition needs a different voice\n\nThe template fixes the content geometry; `treatment` fixes the recurring\nbackground and chrome. Omit it, or set `\"treatment\": \"auto\"`, for a stable\nautomatic choice. Name one when the visual direction matters:\n\n```bash\ndeckbuild treatments dossier\ndeckbuild treatments briefing\n```\n\n```json\n{ \"template\": \"dossier\", \"palette\": \"cobalt-paper\", \"treatment\": \"archive_spine\" }\n```\n\nTreatments are template-specific by design. `dossier` offers `archive_spine`,\n`folio_frame`, and `paper_wash`; `briefing` offers `memo_split`, `status_rail`,\nand `decision_bar`; `bold` offers `edge_band`, `base_bar`, and `corner_rules`.\nA treatment from another template is rejected instead of quietly making two\ntemplates converge.\n\nThe controllable visual axes are: `template` for structure, `typography` for a\ncurated font system, `treatment` for recurring composition, `palette` for color,\n`theme` for exact brand overrides, and image `placement` plus cadence for visual\nemphasis.\n\nFor `bold`, read [`references/bold.md`](references/bold.md) before writing. It\ndefines the pacing, image direction, title register, and cases where bold is the\nwrong choice.\n\n**Typography.** Prefer a named `typography` system over manual font names. Run\n`deckbuild typography`, then read [`references/typography.md`](references/typography.md).\nIt defines the sans/serif/display roles, curated pairings, and misuse warnings.\nEvery named system uses bundled OFL faces that PowerPoint embeds. Exact\n`theme.heading` or `theme.body` values remain available for a real brand font;\nthey override the preset and are checked against the same role rules.\n\n### Layouts — choose by the shape of the content\n\nDecide what a slide has to do, then take the layout that does it. Reaching for\n`bullets` every time is what makes a deck look generated; a deck that varies\nbecause its content varies is the thing to aim for. Every layout works in every\ntemplate.\n\n| `layout` | Reach for it when | Needs |\n| ----------- | -------------------------------------------------------------------------------- | ------------------------- |\n| `title` | Opening. The title states the thesis, not the topic. | `title` |\n| `contents` | The deck is long enough that the audience wants a map. Six items at most. | `items` |\n| `section` | The argument turns. One every four to six slides, numbered in `eyebrow`. | `title` |\n| `statement` | One sentence is the whole point of the slide and deserves the room. | `title` |\n| `bullets` | Genuinely a list of peers with nothing to compare across. Rarer than you think. | `title`, `bullets` |\n| `numbered` | Order or sequence matters: steps, ranked options, things tried in turn. | `title`, `items` |\n| `columns` | Two or three things held against each other: before/after, us/them, risk/reward. | `title`, `items` |\n| `metrics` | Two to four numbers carry the point. One number alone is a `statement`. | `items[].value` |\n| `table` | Two dimensions — things down the side, attributes across the top. | `columns`, `rows` |\n| `quote` | Someone else's words are better evidence than your summary. | `quote` |\n| `image` | A picture argues better than a sentence. Never decoration. | `title`, `image` |\n| `triptych` | A full-height image separates observations from a short narrative. | `title`, `image`, `items` |\n| `gallery` | Two to four images are peers, or a stacked pair carries the page. | `items[].image` |\n| `team` | Portraits, names, and roles should read as one visual roster. | `items[].image` |\n| `timeline` | Milestones need a visible temporal line rather than numbered prose. | `items` |\n| `chart` | A rendered chart is evidence beside editable interpretation. | `title`, `image` |\n| `bars` | A set of magnitudes should be compared by length rather than read as numerals. | `title`, `items[].amount` |\n| `closing` | The ask: a decision, an owner, a date. | `title` |\n\nFour further recipes are compositions taken from professionally produced decks.\nRead [`references/compositions.md`](references/compositions.md) before using one.\n\n| `layout` | Reach for it when | Needs |\n| ------------------- | ----------------------------------------------------------------------------- | ------------------------- |\n| `editorial-collage` | Two or three frames argue with each other rather than illustrating one claim. | `title`, `items[].image` |\n| `portrait-strip` | Two or three tall crops are peers and each needs its own caption. | `title`, `items[].image` |\n| `panorama-sidebar` | One wide frame carries the scale and a rail explains it. | `title`, `image`, `items` |\n| `hero-proof` | One claim over a darkened image, with numbered proof beneath it. | `title`, `image`, `items` |\n\nTwo more document a design system rather than argue a case, and are what\n`guideline` exists for.\n\n| `layout` | Reach for it when | Needs |\n| ---------- | ---------------------------------------------------------------------------- | ------------------------ |\n| `swatches` | The palette is the content: each colour named, described, and printed. | `title`, `items[].value` |\n| `specimen` | The typography is the content, set in the deck's own faces at its own sizes. | `title` |\n\nReading the same content three ways, so the choice is deliberate:\n\n- \"June 61%, July 48%, August 46%\" across three cohorts and three days is a\n `table` — two dimensions.\n- \"Day-7 retention 61% → 48%, alongside NRR and churn\" is `metrics` — several\n numbers, each with its comparison in the item's `body`.\n- \"Retention is the constraint\" is a `statement`, with the evidence on the slide\n after it.\n\nOptional fields: `subtitle` and `eyebrow` on a `title`; `eyebrow` as the section\nnumber; `body` as a lead line under a `section`, `statement`, or `closing`;\n`items` as a fact row on `title` and `closing`; `attribution` on a `quote`;\n`placement` on an `image`. Every slide takes `notes`.\n\n`items` entries are `{heading, body, value, image, image_prompt, amount}`, or a bare string meaning `body`.\n`placement` is `left`, `right` (half-bleed column, text alongside), `full`, or\n`bleed` (behind the text, which is darkened for contrast).\n\nOn a `full` or `bleed` image, `scrim` decides how the copy is made readable.\n`full`, the default, darkens the whole canvas and is right when the claim is the\nsubject. `card` lays a near-solid panel in the ground colour under the copy alone\nand leaves the rest of the photograph untouched, which is what a brand page does.\nThe five templates that compose their own full-bleed image — `bold`, `dossier`,\n`field-notes`, `organic`, `signal` — take `full` only, and asking for a card there\nis refused rather than dropped.\n\n`bars` takes an `amount` on every item: a non-negative number in whatever unit\nthe slide is about, which sets each bar's length against the largest in the set.\nPut the formatted figure in `value` and the label in `heading`, and the numerals\nstay editable text rather than becoming part of a picture.\n\n`swatches` takes a colour in each item's `value`, with `heading` as its name and\n`body` as the rule for using it. The hex is printed inside the chip.\n\nAny slide may also carry `cutout` (a transparent foreground figure, on `studio`,\n`bold`, and `feature`), `motif` (`studio` only), and `directional_mark`. Their\nanchors and knobs are in\n[`references/compositions.md`](references/compositions.md). A knob set without\nthe asset it configures is rejected rather than ignored.\n\nIn `briefing`, `numbered` becomes a ruled status or action sequence: put the\nshort marker, owner, or date in `heading` and the update in `body`. Its `title`\nand `closing` item rows are the place for decision, owner, date, and status.\n\n### Vary the deck\n\nA deck where every slide is the same shape is a worse deck, whatever the content.\nTwo rules that fall out of that:\n\n- **No layout three times in a row.** If three consecutive slides want `columns`,\n one of them is really a `table` or a `statement`.\n- **A `section` earns its place** by changing the subject, not by punctuating a\n list.\n\n### Facts\n\nSearch before writing any number, price, date, or name you would otherwise be\nrecalling. A deck of plausible-looking figures nobody checked is worse than one\nwith fewer figures, because it will be presented as if it were true.\n\nPut the source in the slide's `notes` — where the number came from and as of\nwhen. A board asking \"says who?\" is the normal case, not the awkward one.\n\nWhere a figure cannot be verified, say so on the slide rather than dropping it\nsilently: \"internal estimate\" and \"as reported, Q2\" are both fine; an unsourced\nnumber that looks sourced is not.\n\n## Step 4 — Content discipline\n\nThis is what separates a deck someone presents from a wall of text with a title.\nApply it while writing the spec, not as a cleanup pass.\n\n**Titles come in two registers and a deck commits to one.** The template picks\nit; writing in between is what produces a claim with the substance squeezed out.\n\nAn **action** title _is_ the finding, stated in full — 6 to 16 words, 4 to 10 for\na divider:\n\n> `\"Cash is still burned turning the backlog into deliveries\"`\n> `\"Consensus has already priced in most of the recovery\"`\n\nNot `\"Cash flow\"`, which says nothing, and not `\"The moat is real and\nstructural\"`, which asserts something without saying what it is. Published\nconsulting headlines run this long for a reason: the qualifier is the finding.\n\nA **label** title names the moment and lets the slide argue — 1 to 5 words, 1 to\n4 for a divider:\n\n> `\"The problem\"` `\"What changed\"` `\"Kurama in the rain\"`\n\nHere the picture or the single number carries the weight, and a full sentence\nacross the top fights it.\n\n**No commas in a title.** A comma is where a second thought gets appended to the\nfirst, and it leaves two half-claims where one whole one would land harder:\n`\"Right on Mathilda, no commute at all\"` is really `\"The commute is a five-minute\nwalk\"`. Rewrite until the point survives as one clause — if it will not, the\ntitle is carrying two ideas and the second one belongs on its own slide, or in\nthe body. Only a `quote` keeps its commas, being someone else's words.\n\nThe same goes for a semicolon or a dash joining two independent clauses: a\nsentence wearing a heading's clothes. Headings take no full stop; a `statement`\nslide is the exception, because it _is_ a sentence.\n\nTitle budgets `deckbuild outline` reports:\n\n| Register | Slide title | Section divider |\n| -------- | ----------- | --------------- |\n| `action` | 6–16 words | 4–10 words |\n| `label` | 1–5 words | 1–4 words |\n\nAnd for the copy underneath: a bullet is at most 14 words, an item body or a\nlead line at most 24. Past that it is prose, and prose belongs in `notes`.\n\n**One idea per slide.** Two ideas means two slides. Slides are free.\n\n**Numbers get context.** `NRR fell to 96%` invites \"from what, against what\nplan?\". Give the comparison in the same line: `NRR 112% → 96%, plan 105%`. A\ncount without a denominator is not evidence.\n\n**Use `metrics` for headline numbers and `table` for two dimensions.** A bulleted\nlist of \"June: 61%, July: 48%\" is a table someone forgot to draw.\n\n**Prose belongs in `notes`.** If a slide needs a paragraph to make sense, the\nparagraph is a speaker note and the slide keeps the assertion. Write notes for\nevery slide that makes a claim — they cost the reader nothing and let someone\nelse present the deck.\n\n**A `section` every four to six content slides.** It gives the audience a place\nto breathe and the presenter a place to check the room. A deck under eight\nslides may skip dividers when its arc is already obvious; do not spend one-sixth\nof a six-slide briefing announcing that it has reached the middle.\n\n**End on the ask.** The `closing` slide is what should happen next: a decision,\nan owner, a date. Not \"Thank you\", not \"Questions?\".\n\nWhen the user hands over source material, read it first, decide the argument,\nthen write slides that make that argument. Do not walk the source top to bottom\nturning each section into a slide.\n\n## Step 5 — Images\n\n`generate_image` writes a `.png` into the working directory and returns its path.\nReference it by filename in the spec:\n\n```json\n{\n \"layout\": \"image\",\n \"title\": \"Sign-in is where automation dies\",\n \"body\": \"Every useful task sits behind a login.\",\n \"image\": \"hero.png\",\n \"placement\": \"right\"\n}\n```\n\n**Ask the deck what shape each region is; do not guess.** Write the spec with\nevery `image` and `image_prompt` filled in first, then:\n\n```bash\ndeckbuild images deck.json # add --json for the same plan machine-readable\n```\n\nIt lists every picture the layouts place, the orientation and pixel size of the\nregion each one fills, and the prompt already recorded for it:\n\n```\nMAKE hero.png landscape 1920x1080 slide 2\n A harbour at first light, documentary photograph, muted\nMAKE frame-1.png portrait 904x1920 slide 6\n A weathered lighthouse tower against low cloud\n```\n\nGenerate exactly that list at those sizes, then build. deckbuild crops to fill\nwithout distorting, so an image the wrong shape loses the difference off its\nsides, taken from the centre where the subject usually is. The regions are not\nguessable: a `portrait-strip` frame is 0.47:1, far narrower than the 2:3 a\ngenerator returns by default, and a `panorama-sidebar` frame is wider than any\npreset.\n\nA row marked `(uncropped: keep the subject whole)` is a cutout — placed whole\nrather than filled to its box, so its own framing is what shows.\n\nPrompt for photographic, uncluttered images with room for text — a subject to one\nside, or an even texture. A busy image under a title fights it. Record what you\nasked for in `image_prompt` so the choice is legible later.\n\n**How many is a property of the template, not a matter of taste.** Some\ntemplates argue with pictures and look unfinished without them; others do the\nwork with rules and numbers and look padded with them. Never reuse the same\nimage on two slides.\n\n| Template | Imagery |\n| --------------------------------------------- | ------------------------------------------------------------------------------------------------------ |\n| `feature`, `atlas`, `studio` | Image-led. Most slides carry one; a run of three type-only slides means the deck is under-illustrated. |\n| `bold`, `field-notes`, `organic` | One decisive anchor about every third slide, alternating with type-led pages. |\n| `pitch`, `signal`, `desk`, `dossier` | One or two anchors in the whole deck. The numerals and fields carry the rest. |\n| `editorial`, `board`, `briefing`, `guideline` | Only where the picture is evidence. These decks are complete with none. |\n\nReach that count by using the layouts that place several frames at once —\n`gallery`, `triptych`, `portrait-strip`, `editorial-collage` — rather than by\nrepeating single `image` slides.\n\n- `dossier`: prefer one verified portrait or supplied photo. Never generate a\n likeness of a real colleague; use a generated portrait only for a fictional\n example, and use an object, place, or abstract cutout when no real photo exists.\n- `briefing`: add an image only when it is evidence or meeting context. Its rules,\n owner fields, dates, and status rows already do the visual work.\n- `field-notes`: bias toward one or two isolated objects, cutouts, or candid\n photographs with deliberate negative space. A transparent or paper-coloured\n background makes the offset frame feel intentional.\n- `feature`: images carry the thread; vary portraits, wide scenes, and details.\n- `bold`: use one decisive documentary or rendered anchor about every three\n slides; alternate it with quiet type-led pages instead of decorating every page.\n\nGenerated visuals can also be diagrammatic or rendered as SVG when a real image\nwould imply false evidence. Do not generate fake screenshots, logos, documents,\nor photographs of real events. Prompt the subject's side and crop explicitly,\nand keep `image_prompt` on every slide that names an image.\n\nA missing file is a warning, not a failure: the deck still builds with the\nregion reserved, so a generation that fails does not block delivery. Run\n`deckbuild images deck.json` again at the end — anything still marked `MAKE` is\na hole in the finished deck.\n\nFor a supplied reference `.pptx`, follow\n[`references/reference-audit.md`](references/reference-audit.md): measure every\nslide, map recurring patterns to semantic layouts, reconstruct, then compare.\n\n## Step 6 — Build\n\n```bash\ndeckbuild build deck.json\n```\n\nWrites `deck.pptx` and `deck.html`. `build` writes both by default; keep it that way: the preview is how\nthe deck gets looked at before anyone opens PowerPoint.\n\nWhen it refuses, it names the slide, the element, and the fix:\n\n```\nslide 4: text_outside_safe — slide4.body at 0.72,5.10 5.80×2.31 leaves the safe\n area (0.72,0.72 11.89×6.06) — runs 0.55 in past the bottom; cut about 34 words\n```\n\n| Error | What it means |\n| ------------------- | --------------------------------------------------------------- |\n| `text_outside_safe` | Too much copy for the slide. Cut it, or split into two slides. |\n| `text_overlap` | Two text blocks collide. Almost always too many `items`. |\n| `occluded_text` | Something is painted over text. A template bug — report it. |\n| `text_overflow` | A fixed box, usually a table cell, holds more than it can show. |\n| `low_contrast` | Text too close in tone to what is behind it. |\n| `furniture_wraps` | A brand or page mark ran to a second line. A template bug. |\n| `image_offcanvas` | An image region falls outside the slide. A template bug. |\n\nA failure prefixed `[keynote]`, `[google-slides]` or `[powerpoint]` happens only\nin that application: the deck is sound at authoring size and breaks under that\none's transform. Fix it the same way — the geometry has to survive all three.\n\nCut words rather than fighting the layout. The word count is measured from the\nline fitting, not guessed.\n\nTo look at a refusal instead of fixing it blind:\n\n```bash\ndeckbuild build deck.json --debug-boxes --force \\\n --pptx deck.debug.pptx --html deck.debug.html\n```\n\nThat outlines every element by kind and draws the collision in red. Use it to\nunderstand a failure; never ship the `--force` output.\n\n## Step 7 — Verify\n\n```bash\ndeckbuild check deck.json # geometry, consumers, fonts, style, storyline\ndeckbuild outline deck.json # the spine, one last time\n```\n\n`check` exits 0 with `\"ok\": true` when the deck is sound. Then run the outline\nonce more and read the spine as a reader would — the bodies have changed since\nStep 2, and a title that drifted away from the slide beneath it is the usual\nresult. If the titles no longer carry the argument on their own, the deck is not\nfinished, and the fix is the titles rather than the bullets.\n\n## Step 8 — Deliver\n\nAsk where it should land only when the user has not implied it. \"Put it in my\nDrive\" and \"send it to Priya\" are answers; \"make me a deck\" is not, and the file\nis a fine default.\n\n**Google Drive, as a native Slides deck.** A `.pptx` uploaded with the Slides\nMIME type is converted on the way in, so the user gets a real Google Slides\npresentation. This needs only the Drive scope the `google` connector already\nholds, and the gateway injects the header for `googleapis.com`.\n\n```bash\ncurl -s -X POST \\\n 'https://www.googleapis.com/upload/drive/v3/files?uploadType=%5BREDACTED%5D&fields=%5BREDACTED%5D' \\\n -F \"metadata={\\\"name\\\":\\\"Q3 Revenue Review\\\",\\\"mimeType\\\":\\\"application/vnd.google-apps.presentation\\\"};type=application/json\" \\\n -F \"file=@deck.pptx;type=application/vnd.openxmlformats-officedocument.presentationml.presentation\"\n```\n\nDrop `mimeType` to leave it an uploaded `.pptx`. Add `\"parents\":[\"FOLDER_ID\"]` to\nplace it. Hand the user the `webViewLink`, never a raw id.\n\n**OneDrive or SharePoint.** `.pptx` is native, no conversion. Load\n`microsoft-files` for the conventions.\n\n```bash\ncurl -s -X PUT \\\n 'https://graph.microsoft.com/v1.0/me/drive/root:/Decks/Q3 Review.pptx:/content' \\\n -H 'Content-Type: application/octet-stream' \\\n --data-binary @deck.pptx\n```\n\nOver 4 MB needs a Graph upload session — a deck with several photographs will\ncross that. Say so rather than sending a truncated file.\n\n**Keynote** imports `.pptx` directly. Hand over the file.\n\n**Email or chat** — attach `deck.pptx`. Load the relevant send skill.\n\nDo not upload anywhere the user did not ask for. A deck in the wrong Drive is a\ndeck they have to go delete.\n\n## Scope\n\nThis skill owns deck files and their delivery. When the user wants an interactive\nslideshow living inside the conversation as a web artifact rather than a file they\ncan edit, `build-slideshow` builds that instead.\n\nFollow these instructions as your guide. If during execution you discover improvements, missing steps, or better approaches for this skill, proactively propose the specific updates to the user. Use the skill tool's create/edit actions to save improvements.", "resolved_from": null, "success": true}, "status": "completed", "tool_name": "skill"}

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{"dispatch_id": "toolu_bdrk_01NKLRuVwRyEhgbt1rXx9B74", "elapsed": 0.277595061, "error": "", "result": {"content": "NVIDIA Announces Financial Results for Second Quarter Fiscal 2027 | NVIDIA Newsroom\n\n\n\n\n\n\n\n\n\n\n\n [Artificial Intelligence Computing Leadership from NVIDIA](https://www.nvidia.com/en-us) #\n\n\n\n [/search](/search)\n\n\n\n\n\n\n\n\n\n\n\n\n\n PLATFORMS\n\n\n\n [ Autonomous Machines](https://www.nvidia.com/en-us/autonomous-machines/)\n\n\n\n [ Cloud & Data Center](https://www.nvidia.com/en-us/data-center/)\n\n\n\n [ Deep Learning & Ai](https://www.nvidia.com/en-us/deep-learning-ai/)\n\n\n\n [ Design & Pro Visualization](https://www.nvidia.com/en-us/design-visualization/)\n\n\n\n [ Healthcare](https://www.nvidia.com/en-us/healthcare/)\n\n\n\n [ High Performance Computing](https://www.nvidia.com/en-us/high-performance-computing/)\n\n\n\n [ Self-Driving Cars](https://www.nvidia.com/en-us/self-driving-cars/)\n\n\n\n [ Gaming & Entertainment](https://www.nvidia.com/en-us/geforce/)\n\n\n\n\n\n\n\n other links\n\n\n - [Developers](https://developer.nvidia.com/)\n - [Industries](https://www.nvidia.com/en-us/industries/)\n - [Shop](https://www.nvidia.com/en-us/shop/)\n - [Drivers](https://www.nvidia.com/Download/index.aspx?lang=%5BREDACTED%5D)\n - [Support](https://www.nvidia.com/object/support.html)\n - [About NVIDIA](https://www.nvidia.com/en-us/about-nvidia/)\n\n\n - [View All Products](https://www.nvidia.com/page/products.html)\n - [GPU TECHNOLOGY CONFERENCE](https://www.nvidia.com/en-us/gtc/)\n - [NVIDIA Blog](https://blogs.nvidia.com/)\n - [Community](https://www.nvidia.com/object/nvidia-communities.html)\n - [Careers](https://www.nvidia.com/en-us/about-nvidia/careers/)\n - [TECHNOLOGIES](https://www.nvidia.com/en-us/technologies/)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [Newsroom](/)\n\n\n\n [NVIDIA in Brief](/_gallery/get_file/?file_id=62acc991b3aed36cab48537d&ir=1&file_ext=.pdf)\n\n\n\n [Exec Bios](/bios)\n\n\n\n [NVIDIA Blog](https://blogs.nvidia.com/)\n\n\n\n [Podcast](https://blogs.nvidia.com/ai-podcast/)\n\n\n\n [Media Assets](/multimedia)\n\n\n\n [In the News](/in-the-news)\n\n\n\n [Press Contacts](/contacts)\n\n\n\n [Online Press Kits](/online-press-kit)\n\n\n\n\n\n #\n\n\n\n\n\n\n\n\n - [NVIDIA in Brief](/_gallery/get_file/?file_id=62acc991b3aed36cab48537d&ir=1&file_ext=.pdf)\n - [Exec Bios](/bios)\n - [NVIDIA Blog](https://blogs.nvidia.com/)\n - [Podcast](https://blogs.nvidia.com/ai-podcast/)\n - [Media Assets](/multimedia)\n - [In the News](/in-the-news)\n - [Press Contacts](/contacts)\n - [Online Press Kits](/online-press-kit)\n\n\n\n\n\n\n\n\n\nPress Release\n\n\n\n Share\n\n\n\n\n\n [Tweet Twitter](http://twitter.com/share?text=%5BREDACTED%5D&url=%5BREDACTED%5D)\n\n\n\n [Share LinkedIn](https://www.linkedin.com/shareArticle?mini=%5BREDACTED%5D&url=%5BREDACTED%5D)\n\n\n\n [Share Facebook](http://www.facebook.com/sharer.php?u=%5BREDACTED%5D)\n\n\n\n [Email](mailto:?subject=NVIDIA Announces Financial Results for Second Quarter Fiscal 2027=https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-second-quarter-fiscal-2027)\n\n\n\n\n\n\n\n\n\n\n\n\n\n ic_arrow-back-to-top\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n# NVIDIA Announces Financial Results for Second Quarter Fiscal 2027\n\n\n\n - Revenue of $96.2 billion, up 106% from a year ago\n - Data Center revenue of $89.0 billion, up 117% from a year ago\n\n\n\n\n\n August 26, 2026\n\n [\n\n\n\nNVIDIA (NASDAQ: NVDA) today reported revenue for the second quarter ended July 26, 2026, of $96.2 billion, up 18% from the previous quarter and up 106% from a year ago. For the quarter, GAAP and non-GAAP gross margins were both 75.0%. GAAP and non-GAAP earnings per diluted share were $2.46 and $2.22, respectively.\n\n\n\n“AI has reached its inflection point. It’s doing useful work. Its tokens are productive and profitable. Now, compute is revenue,” said Jensen Huang, founder and CEO of NVIDIA. “And demand is accelerating. This time last year, one lab alone was driving the buildout; today, we have a golden age of new AI labs and startups, multiple frontier labs scaling in parallel, a thriving open-model ecosystem and physical AI coming online — with strong momentum across the U.S. and around the world. The AI infrastructure buildout is at full steam. Vera Rubin, now in full production, was built to power exactly this moment.”\n\n\n\nDuring the second quarter of fiscal 2027, NVIDIA returned approximately $26.0 billion to shareholders in the form of shares repurchased and cash dividends. As of the end of the second quarter, the company had approximately $99.0 billion remaining under its share repurchase authorization.\n\n\n\nNVIDIA will pay its next quarterly cash dividend of $0.25 per share on October 1, 2026, to all shareholders of record on September 10, 2026.\n\n\n\n**Q2 Fiscal 2027 Summary**\n\n\n\n | **GAAP** |\n | *($ in millions, except earnings per share)* | **Q2 FY27** | **Q1 FY27** | **Q2 FY26** | **Q/Q** | **Y/Y** |\n | Revenue | $96,221 | $81,615 | $46,743 | 18 % | 106 % |\n | Gross margin | 75.0 % | 74.9 % | 72.4 % | 0.1 pts | 2.6 pts |\n | Operating expenses | $8,408 | $7,621 | $5,413 | 10 % | 55 % |\n | Operating income | $63,734 | $53,536 | $28,440 | 19 % | 124 % |\n | Net income | $59,688 | $58,321 | $26,422 | 2 % | 126 % |\n | Diluted earnings per share | $2.46 | $2.39 | $1.08 | 3 % | 128 % |\n\n\n\n\n \n\n\n\n | **Non-GAAP** |\n | *($ in millions, except earnings per share)* | **Q2 FY27** | **Q1 FY27** | **Q2 FY26** | **Q/Q** | **Y/Y** |\n | Revenue | $96,221 | $81,615 | $46,743 | 18 % | 106 % |\n | Gross margin | 75.0 % | 75.0 % | 72.5 % | -- | 2.5 pts |\n | Operating expenses | $8,232 | $7,449 | $5,361 | 11 % | 54 % |\n | Operating income | $63,956 | $53,783 | $28,541 | 19 % | 124 % |\n | Net income | $53,954 | $45,548 | $24,763 | 18 % | 118 % |\n | Diluted earnings per share | $2.22 | $1.87 | $1.01 | 19 % | 120 % |\n |   |   |   |   |   |   |\n\n\n\n\n**Outlook**\n\n\n\nNVIDIA’s outlook for the third quarter of fiscal 2027 is as follows:\n\n\n - Revenue is expected to be $108.0 billion, plus or minus 2%. NVIDIA is not assuming any Data Center compute revenue from China in its outlook.\n - GAAP and non-GAAP gross margins are expected to be 74.0%, plus or minus 50 basis points.\n - GAAP and non-GAAP operating expenses are expected to be approximately $9.2 billion and $9.0 billion, respectively.\n\n\n\nFor the full year fiscal 2027, NVIDIA expects GAAP and non-GAAP tax rates to be between 16.0% and 18.0%, excluding any discrete items and material changes to NVIDIA’s tax environment.\n\n\n\n**Highlights**\n\n\n\n**Data Center **\n\n\n - Second-quarter revenue was $89.0 billion, up 18% from the previous quarter and up 117% from a year ago.\n - Announced the [NVIDIA Vera Rubin](https://nvidianews.nvidia.com/news/vera-rubin-full-production-agentic-ai-factory) platform is ramping into full production with racks running at [partners](https://blogs.nvidia.com/blog/vera-rubin/) including CoreWeave, Google Cloud, Microsoft Azure, Oracle Cloud Infrastructure and Nebius.\n - Revealed that [NVIDIA Spectrum™-6](https://blogs.nvidia.com/blog/nvidia-spectrum-six-arrives-in-gigascale-ai-factories/) switch systems — supporting both pluggable and co-packaged optics as part of the NVIDIA Vera Rubin platform — are arriving across the world’s gigascale AI factories.\n - Unveiled [NVIDIA Vera](https://nvidianews.nvidia.com/news/nvidia-unveils-vera-the-cpu-for-agents), the first CPU built for AI agents, with broad adoption planned across the world’s leading technology providers.\n - Announced that [NVIDIA Groq 3 LPX](https://nvidianews.nvidia.com/news/nvidia-groq-3-lpx-now-in-full-production-with-world-class-speed-for-agentic-ai), the interactive AI inference accelerator, is now in full production.\n - Introduced new security innovations for [NVIDIA Vera BlueField™-4 STX](https://nvidianews.nvidia.com/news/nvidia-vera-bluefield-4-stx-brings-agentic-ai-storage-processing-with-in-silicon-security), delivering agentic AI storage processing with in-silicon security for AI factories.\n - Launched the [NVIDIA DSX™](https://nvidianews.nvidia.com/news/dsx-infrastructure-ai-factory) platform, providing infrastructure builders a complete playbook to design, build and operate AI factories at scale.\n - Announced strategic partnerships to establish independent [compute financing platforms](https://nvidianews.nvidia.com/news/nvidia-partners-with-apollo-blackrock-blackstone-brookfield-goldman-sachs-and-kkr-to-establish-ai-compute-infrastructure-financing-platforms-to-mobilize-over-500-billion-of-third-party-capital) with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to mobilize over $500 billion of third-party capital for the buildout of AI infrastructure over time, subject to definitive agreements.\n - Announced that SpaceXAI will deploy [NVIDIA Vera CPUs](https://nvidianews.nvidia.com/news/spacexai-adopts-nvidia-vera-cpu-to-accelerate-agentic-ai-at-massive-scale) to accelerate its next generation of agentic AI applications.\n - Secured land, power and shell capacity through a partnership with [SB Energy](https://nvidianews.nvidia.com/news/nvidia-guarantees-sb-energy-s-ports-pike-technology-campus-in-ohio-to-exclusively-host-nvidia-ai-compute) at the PORTS-Pike Technology Campus in Ohio to host NVIDIA compute.\n - Revealed that [NVIDIA Blackwell](https://blogs.nvidia.com/blog/blackwell-mlperf-training-6-0/) led across every category in the MLPerf Training 6.0 benchmarks and in [AgentPerf](https://blogs.nvidia.com/blog/nvidia-blackwell-agentperf-artificial-analysis/), the industry’s first agentic AI infrastructure benchmark.\n - Announced new software, [open source models](https://nvidianews.nvidia.com/news/enterprise-software-leaders-build-ai-agents-with-nvidia) and partnerships with the world’s leading software platform providers to build autonomous AI agents for industries and enterprises; expanded [NVIDIA Agent Toolkit](https://nvidianews.nvidia.com/news/nvidia-expands-nvidia-agent-toolkit-with-nvidia-physicsnemo-and-cuda-x-libraries-to-transform-how-the-world-engineers-designs-and-builds) with NVIDIA PhysicsNeMo and new and updated NVIDIA CUDA-X™ libraries.\n - Launched [NVIDIA BioNeMo™ Agent Toolkit](https://nvidianews.nvidia.com/news/nvidia-launches-bionemo-agent-toolkit-giving-ai-agents-the-tools-to-accelerate-scientific-discovery), which provides domain-specific tools and skills for the agentic life sciences era.\n - Formed the [Open Secure AI Alliance](https://blogs.nvidia.com/blog/open-secure-ai-alliance/) with industry leaders to advance AI safety and security.\n - Revealed that NVIDIA GPUs with [Confidential Computing](https://blogs.nvidia.com/blog/nvidia-confidential-computing-apple-private-cloud-compute/) are now used for confidential inference in Apple’s Private Cloud Compute.\n - Expanded Korea’s AI factory ecosystem through strategic partnerships with [SK Telecom](https://nvidianews.nvidia.com/news/sk-telecom-ai-infrastructure), [NAVER](https://nvidianews.nvidia.com/news/naver-nvidia-and-brookfield-to-expand-koreas-national-ai-factory-infrastructure-buildout) and Brookfield to build sovereign AI infrastructure at gigawatt scale on the NVIDIA DSX platform, as part of a [broader](https://blogs.nvidia.com/blog/ai-summit-korea-partners-and-nvidia/) NVIDIA-powered national AI push across Korea’s industries and research institutions.\n - Announced a multiyear technology partnership with [SK hynix](https://nvidianews.nvidia.com/news/sk-hynix-ai-factory) to advance next-generation memory for the global AI factory buildout.\n - Partnered with the [Japan government](https://nvidianews.nvidia.com/news/japan-government-industrial-leaders-and-nvidia-launch-the-worlds-first-national-ai-infrastructure) and industrial leaders to launch the world’s first national AI infrastructure; revealed that Japan’s leading enterprises, startups and research institutions are building industry-specialized AI models with [NVIDIA Nemotron™](https://nvidianews.nvidia.com/news/japans-enterprises-and-startups-build-industry-specialized-ai-with-nvidia-nemotron-open-models) open models.\n - Announced that the [NVIDIA Vera Rubin](https://nvidianews.nvidia.com/news/nvidia-vera-rubin-delivers-world-class-supercomputers-for-science) platform delivers world-class supercomputers for science; announced a record 35 new [NVIDIA AI HPC supercomputers](https://nvidianews.nvidia.com/news/europe-unveils-a-record-35-new-nvidia-ai-supercomputers) in development across Europe.\n\n\n\n**Edge Computing**\n\n\n - Second-quarter Edge Computing revenue was $7.2 billion, up 13% from the previous quarter and up 27% from a year ago.\n - Partnered with Microsoft to reinvent the Windows PC with [NVIDIA RTX Spark™](https://nvidianews.nvidia.com/news/nvidia-microsoft-windows-pcs-agents-rtx-spark) — a 1-petaflop superchip with the full CUDA™ and NVIDIA RTX™ ecosystem.\n - Announced [NVIDIA DGX Station™](https://nvidianews.nvidia.com/news/nvidia-dgx-station-for-windows-puts-a-trillion-parameter-ai-supercomputer-on-every-enterprise-desk) for Windows, the world’s most powerful deskside AI supercomputer for developing and running agents on Windows. \n - Launched a [local AI](https://blogs.nvidia.com/blog/rtx-ai-garage-local-gemma-diffusion/) initiative with optimizations for top open models — DeepSeek v4 Flash, [Diffusion Gemma](https://blogs.nvidia.com/blog/rtx-ai-garage-local-gemma-diffusion/), [Nemotron 3.5 Lightning](https://blogs.nvidia.com/blog/local-ai-open-source-models-agents-nemotron/#[REDACTED]) and [Qwen 3.8](https://blogs.nvidia.com/blog/local-ai-open-source-models-agents-nemotron/#[REDACTED]) — and agent harnesses [Hermes Agent](https://blogs.nvidia.com/blog/rtx-ai-garage-hermes-agent-dgx-spark/) and OpenClaw across RTX and DGX platforms.\n - Expanded the [NVIDIA DRIVE Hyperion™](https://nvidianews.nvidia.com/news/nvidia-drive-hyperion-becomes-the-global-platform-for-a-robotaxi-ready-world) robotaxi-ready platform ecosystem, including strategic collaborations with Foxconn, VinFast, Uber and HUMAIN.\n - Introduced [NVIDIA Alpamayo 2 Super](https://nvidianews.nvidia.com/news/nvidia-alpamayo-2-super-robotaxis), the frontier open reasoning model for safe robotaxi and autonomous vehicle development, for [commercial use](https://blogs.nvidia.com/blog/alpamayo-2-super-open-model-now-available/).\n - Launched [NVIDIA Cosmos™ 3](https://nvidianews.nvidia.com/news/nvidia-launches-cosmos-3-the-open-frontier-foundation-model-for-physical-ai), the world’s first fully open frontier omnimodel for physical AI.\n - Announced the [NVIDIA Isaac™ GR00T Reference Humanoid Robot](https://nvidianews.nvidia.com/news/nvidia-open-humanoid-robot-reference-design), the first open humanoid robot reference design built on NVIDIA Jetson Thor™ and the NVIDIA Isaac GR00T open development platform.\n - Announced [NVIDIA Halos for Robotics](https://nvidianews.nvidia.com/news/nvidia-announces-halos-for-robotics-the-industrys-first-full-stack-safety-system-for-physical-ai), the industry’s first full-stack safety system for physical AI, unifying AI compute and safety in a single comprehensive platform.\n - Released a major collection of open source agent tools and skills for [physical AI](https://nvidianews.nvidia.com/news/nvidia-releases-major-collection-of-open-source-agent-tools-and-skills-for-physical-ai), enabling developers to turn complex robotics, autonomous vehicle and vision AI workflows into agent-executable tasks.\n\n\n\n**CFO Commentary**\n\n\n\nCommentary on the quarter by Colette Kress, NVIDIA’s executive vice president and chief financial officer, is available at https://investor.nvidia.com.\n\n\n\n**Conference Call and Webcast Information**\n\n\n\nNVIDIA will conduct a conference call with analysts and investors to discuss its second quarter fiscal 2027 financial results and current financial prospects today at 2 p.m. Pacific time (5 p.m. Eastern time). A live webcast (listen-only mode) of the conference call will be accessible at NVIDIA’s investor relations website, https://investor.nvidia.com. The webcast will be recorded and available for replay until NVIDIA’s conference call to discuss its financial results for its third quarter of fiscal 2027.\n\n\n\n**Non-GAAP Measures**\n\n\n\nTo supplement NVIDIA’s condensed consolidated financial statements presented in accordance with GAAP, the company uses non-GAAP measures of certain components of financial performance. These non-GAAP measures include non-GAAP gross profit, non-GAAP gross margin, non-GAAP operating expenses, non-GAAP operating income, non-GAAP other income (expense), net, non-GAAP net income, non-GAAP net income, or earnings, per diluted share, and free cash flow. For NVIDIA’s investors to be better able to compare its current results with those of previous periods, the company has shown a reconciliation of GAAP to non-GAAP financial measures. These reconciliations adjust the related GAAP financial measures to exclude acquisition-related and other costs, other, gains/losses from equity securities, net, certain other income and expense, and the associated tax impact of these items where applicable. Beginning in the first quarter of fiscal 2027, NVIDIA’s non-GAAP financial measures no longer exclude stock-based compensation expense. The historical non-GAAP financial information presented has been updated to include stock-based compensation expense. Free cash flow is calculated as GAAP net cash provided by operating activities less both purchases related to property and equipment and intangible assets and principal payments on property and equipment and intangible assets. NVIDIA believes the presentation of its non-GAAP financial measures enhances the users’ overall understanding of the company’s historical financial performance. The presentation of the company’s non-GAAP financial measures is not meant to be considered in isolation or as a substitute for the company’s financial results prepared in accordance with GAAP, and the company’s non-GAAP measures may be different from non-GAAP measures used by other companies.\n\n\n\n | **NVIDIA CORPORATION** |\n | **CONDENSED CONSOLIDATED STATEMENTS OF INCOME** |\n | (In millions, except per share data) |\n | (Unaudited) |\n |   |   |   |   |   |   |   |   |   |   |\n |   |   |   |   |   |   |   |   |   |   |\n |   |   |   | **Three Months Ended** |   | **Six Months Ended** |\n |   |   |   | **July 26,** |   | **July 27,** |   | **July 26,** |   | **July 27,** |\n |   |   |   | **2026** |   | **2025** |   | **2026** |   | **2025** |\n |   |   |   |   |   |   |   |   |   |   |\n | Revenue | $ | 96,221 |   | $ | 46,743 |   | $ | 177,837 |   | $ | 90,805 |\n | Cost of revenue |   | 24,079 |   |   | 12,890 |   |   | 44,538 |   |   | 30,284 |\n | **Gross profit** |   | **72,142** |   |   | **33,853** |   |   | **133,299** |   |   | **60,521** |\n |   |   |   |   |   |   |   |   |   |   |\n | Operating expenses |   |   |   |   |   |   |   |\n |   | Research and development |   | 7,054 |   |   | 4,291 |   |   | 13,375 |   |   | 8,280 |\n |   | Sales, general and administrative |   | 1,354 |   |   | 1,122 |   |   | 2,654 |   |   | 2,163 |\n |   |   | **Total operating expenses** |   | **8,408** |   |   | **5,413** |   |   | **16,029** |   |   | **10,443** |\n |   |   |   |   |   |   |   |   |   |   |\n | Operating income |   | 63,734 |   |   | 28,440 |   |   | 117,270 |   |   | 50,078 |\n | Other income, net |   | 7,773 |   |   | 2,766 |   |   | 24,140 |   |   | 3,039 |\n |   |   |   |   |   |   |   |   |   |   |\n | Income before income tax |   | 71,507 |   |   | 31,206 |   |   | 141,410 |   |   | 53,117 |\n | Income tax expense |   | 11,819 |   |   | 4,784 |   |   | 23,400 |   |   | 7,920 |\n | **Net income** | **$** | **59,688** |   | **$** | **26,422** |   | **$** | **118,010** |   | **$** | **45,197** |\n |   |   |   |   |   |   |   |   |   |   |\n | Net income per share: |   |   |   |   |   |   |   |\n |   | Basic | $ | 2.47 |   | $ | 1.08 |   | $ | 4.87 |   | $ | 1.85 |\n |   | Diluted | $ | 2.46 |   | $ | 1.08 |   | $ | 4.85 |   | $ | 1.84 |\n |   |   |   |   |   |   |   |   |   |   |\n | Weighted average shares used in per share computation: |   |   |   |   |   |   |   |\n |   | Basic |   | 24,190 |   |   | 24,366 |   |   | 24,238 |   |   | 24,404 |\n |   | Diluted |   | 24,285 |   |   | 24,532 |   |   | 24,338 |   |   | 24,571 |\n |   |   |   |   |   |   |   |   |   |   |\n\n\n\n\n \n\n\n\n | **NVIDIA CORPORATION** |\n | **CONDENSED CONSOLIDATED BALANCE SHEETS** |\n | (In millions) |\n | (Unaudited) |\n |   |   |   |   |   |   |   |\n |   |   |   |   |   |   |   |\n |   |   |   |   | **July 26,** |   | **January 25,** |\n |   |   |   |   | **2026** |   | **2026** |\n | **ASSETS** |   |   |   |   |\n |   |   |   |   |   |   |   |\n | Current assets: |   |   |   |   |\n |   | Cash and cash equivalents |   | $ | 22,443 |   | $ | 10,605 |\n |   | Marketable debt securities |   |   | 34,143 |   |   | 39,065 |\n |   | Marketable equity securities |   |   | 42,783 |   |   | 12,886 |\n |   | Accounts receivable, net |   |   | 63,059 |   |   | 38,466 |\n |   | Inventories |   |   | 31,575 |   |   | 21,403 |\n |   | Prepaid expenses and other current assets |   |   | 3,409 |   |   | 3,180 |\n |   |   | **Total current assets** |   |   | **197,412** |   |   | **125,605** |\n |   |   |   |   |   |   |   |\n | Property and equipment, net |   |   | 14,285 |   |   | 10,383 |\n | Operating lease assets |   |   | 5,390 |   |   | 2,867 |\n | Goodwill |   |   | 21,125 |   |   | 20,832 |\n | Intangible assets, net |   |   | 2,998 |   |   | 3,306 |\n | Deferred income tax assets |   |   | 12,159 |   |   | 13,258 |\n | Non-marketable securities |   |   | 51,157 |   |   | 22,251 |\n | Other assets |   |   | 15,746 |   |   | 8,301 |\n |   |   | **Total assets** |   | **$** | **320,272** |   | **$** | **206,803** |\n |   |   |   |   |   |   |   |\n | **LIABILITIES AND SHAREHOLDERS' EQUITY** |   |   |   |   |\n |   |   |   |   |   |   |   |\n | Current liabilities: |   |   |   |   |\n |   | Accounts payable |   | $ | 15,059 |   | $ | 9,812 |\n |   | Accrued and other current liabilities |   |   | 26,960 |   |   | 21,352 |\n |   | Short-term debt |   |   | 1,000 |   |   | 999 |\n |   |   | **Total current liabilities** |   |   | **43,019** |   |   | **32,163** |\n |   |   |   |   |   |   |   |\n | Long-term debt |   |   | 32,366 |   |   | 7,469 |\n | Long-term operating lease liabilities |   |   | 4,985 |   |   | 2,572 |\n | Other long-term liabilities |   |   | 10,918 |   |   | 7,306 |\n |   |   | **Total liabilities** |   |   | **91,288** |   |   | **49,510** |\n |   |   |   |   |   |   |   |\n | Shareholders' equity |   |   | 228,984 |   |   | 157,293 |\n |   |   | **Total liabilities and shareholders' equity** |   | **$** | **320,272** |   | **$** | **206,803** |\n |   |   |   |   |   |   |   |\n\n\n\n\n \n\n\n\n | **NVIDIA CORPORATION** |\n | **CONDENSED CONSOLIDATED STATEMENTS OF CASH FLOWS** |\n | (In millions) |\n | (Unaudited) |\n |   |   |   |   |   |   |   |   |   |   |\n |   |   |   |   |   |   |   |   |   |   |\n |   |   |   | **Three Months Ended** |   | **Six Months Ended** |\n |   |   |   | **July 26,** |   | **July 27,** |   | **July 26,** |   | **July 27,** |\n |   |   |   |   | **2026** |   |   |   | **2025** |   |   |   | **2026** |   |   |   | **2025** |   |\n |   |   |   |   |   |   |   |   |   |   |\n | Cash flows from operating activities: |   |   |   |   |   |   |   |\n | Net income | $ | 59,688 |   |   | $ | 26,422 |   |   | $ | 118,010 |   |   | $ | 45,197 |   |\n | Adjustments to reconcile net income to net cash |   |   |   |   |   |   |   |\n | provided by operating activities: |   |   |   |   |   |   |   |\n |   | Stock-based compensation expense |   | 2,027 |   |   |   | 1,624 |   |   |   | 3,954 |   |   |   | 3,099 |   |\n |   | Depreciation and amortization |   | 1,127 |   |   |   | 668 |   |   |   | 2,124 |   |   |   | 1,280 |   |\n |   | Deferred income taxes |   | (602 | ) |   |   | 18 |   |   |   | 982 |   |   |   | (2,160 | ) |\n |   | Gains from equity securities, net |   | (7,771 | ) |   |   | (2,247 | ) |   |   | (23,707 | ) |   |   | (2,073 | ) |\n |   | Other |   | 315 |   |   |   | (100 | ) |   |   | 222 |   |   |   | (196 | ) |\n | Changes in operating assets and liabilities, net of acquisitions: |   |   |   |   |   |   |   |\n |   | Accounts receivable |   | (22,346 | ) |   |   | (5,675 | ) |   |   | (24,590 | ) |   |   | (4,743 | ) |\n |   | Inventories |   | (5,784 | ) |   |   | (3,622 | ) |   |   | (10,204 | ) |   |   | (4,880 | ) |\n |   | Prepaid expenses and other assets |   | (5,497 | ) |   |   | 387 |   |   |   | (6,480 | ) |   |   | 946 |   |\n |   | Accounts payable |   | 1,915 |   |   |   | 1,314 |   |   |   | 4,125 |   |   |   | 2,255 |   |\n |   | Accrued and other current liabilities |   | 252 |   |   |   | (4,053 | ) |   |   | 8,015 |   |   |   | 3,075 |   |\n |   | Other long-term liabilities |   | 753 |   |   |   | 629 |   |   |   | 1,970 |   |   |   | 979 |   |\n | **Net cash provided by operating activities** |   | **24,077** |   |   |   | **15,365** |   |   |   | **74,421** |   |   |   | **42,779** |   |\n |   |   |   |   |   |   |   |   |   |   |\n | Cash flows from investing activities: |   |   |   |   |   |   |   |\n |   | Proceeds from sales and maturities of debt securities |   | 24,592 |   |   |   | 3,150 |   |   |   | 26,563 |   |   |   | 6,739 |   |\n |   | Proceeds from sales of equity securities |   | 7,215 |   |   |   | 70 |   |   |   | 7,241 |   |   |   | 70 |   |\n |   | Purchases of equity securities |   | (15,822 | ) |   |   | (346 | ) |   |   | (42,404 | ) |   |   | (1,245 | ) |\n |   | Purchases of debt securities |   | (21,777 | ) |   |   | (7,812 | ) |   |   | (21,777 | ) |   |   | (14,108 | ) |\n |   | Purchases related to property and equipment and intangible assets |   | (2,677 | ) |   |   | (1,894 | ) |   |   | (4,434 | ) |   |   | (3,122 | ) |\n |   | Acquisitions, net of cash acquired |   | (211 | ) |   |   | (294 | ) |   |   | (298 | ) |   |   | (677 | ) |\n |   | Other |   | (15 | ) |   |   | - |   |   |   | (15 | ) |   |   | - |   |\n | **Net cash used in investing activities** |   | **(8,695** | **)** |   |   | **(7,126** | **)** |   |   | **(35,124** | **)** |   |   | **(12,343** | **)** |\n |   |   |   |   |   |   |   |   |   |   |\n | Cash flows from financing activities: |   |   |   |   |   |   |   |\n |   | Proceeds related to issuance of debt, net of costs |   | 24,896 |   |   |   | - |   |   |   | 24,896 |   |   |   | - |   |\n |   | Proceeds related to employee stock plans |   | - |   |   |   | - |   |   |   | 515 |   |   |   | 370 |   |\n |   | Payments related to repurchases of common stock |   | (19,732 | ) |   |   | (9,721 | ) |   |   | (39,044 | ) |   |   | (23,815 | ) |\n |   | Dividends paid |   | (6,047 | ) |   |   | (244 | ) |   |   | (6,290 | ) |   |   | (488 | ) |\n |   | Payments related to employee stock plan taxes |   | (2,402 | ) |   |   | (1,848 | ) |   |   | (4,531 | ) |   |   | (3,380 | ) |\n |   | Groq, Inc. |   | (2,944 | ) |   |   | - |   |   |   | (2,944 | ) |   |   | - |   |\n |   | Principal payments on property and equipment and intangible assets |   | (59 | ) |   |   | (21 | ) |   |   | (92 | ) |   |   | (73 | ) |\n |   | Other |   | 112 |   |   |   | - |   |   |   | 31 |   |   |   | - |   |\n | **Net cash used in financing activities** |   | **(6,176** | **)** |   |   | **(11,834** | **)** |   |   | **(27,459** | **)** |   |   | **(27,386** | **)** |\n |   |   |   |   |   |   |   |   |   |   |\n | Change in cash and cash equivalents |   | 9,206 |   |   |   | (3,595 | ) |   |   | 11,838 |   |   |   | 3,050 |   |\n | Cash and cash equivalents at beginning of period |   | 13,237 |   |   |   | 15,234 |   |   |   | 10,605 |   |   |   | 8,589 |   |\n | **Cash and cash equivalents at end of period** | **$** | **22,443** |   |   | **$** | **11,639** |   |   | **$** | **22,443** |   |   | **$** | **11,639** |   |\n |   |   |   |   |   |   |   |   |   |   |\n\n\n\n\n \n\n\n\n | **NVIDIA CORPORATION** |\n | **RECONCILIATION OF GAAP TO NON-GAAP FINANCIAL MEASURES** |\n | ($ in millions, except per share data) |\n | (Unaudited) |\n |   |   |   |   |   |   |   |   |   |   |\n |   |   |   | **Three Months Ended** |   | **Six Months Ended** |\n |   |   |   | **July 26,** |   | **April 26,** |   | **July 27,** |   | **July 26,** |   | **July 27,** |\n |   |   |   |   | **2026** |   |   |   | **2026** |   |   |   | **2025** |   |   |   | **2026** |   |   |   | **2025** |   |\n |   |   |   |   |   |   |   |   |   |   |   |   |\n | GAAP cost of revenue | $ | 24,079 |   |   | $ | 20,458 |   |   | $ | 12,890 |   |   | $ | 44,538 |   |   | $ | 30,284 |   |\n | GAAP gross profit | $ | 72,142 |   |   | $ | 61,157 |   |   | $ | 33,853 |   |   | $ | 133,299 |   |   | $ | 60,521 |   |\n | * GAAP gross margin* |   | *75.0* | *%* |   |   | *74.9* | *%* |   |   | *72.4* | *%* |   |   | *75.0* | *%* |   |   | *66.6* | *%* |\n |   | Acquisition-related and other costs (A) |   | 46 |   |   |   | 47 |   |   |   | 49 |   |   |   | 93 |   |   |   | 170 |   |\n |   | Other |   |   | - |   |   |   | 28 |   |   |   | - |   |   |   | 28 |   |   |   | 4 |   |\n | **Non-GAAP cost of revenue** | **$** | **24,033** |   |   | **$** | **20,383** |   |   | **$** | **12,841** |   |   | **$** | **44,417** |   |   | **$** | **30,110** |   |\n | **Non-GAAP gross profit** | **$** | **72,188** |   |   | **$** | **61,232** |   |   | **$** | **33,902** |   |   | **$** | **133,420** |   |   | **$** | **60,695** |   |\n | *** Non-GAAP gross margin**** |   | ***75.0*** | ***%*** |   |   | ***75.0*** | ***%*** |   |   | ***72.5*** | ***%*** |   |   | ***75.0*** | ***%*** |   |   | ***66.8*** | ***%*** |\n |   |   |   |   |   |   |   |   |   |   |   |   |\n | GAAP operating expenses | $ | 8,408 |   |   | $ | 7,621 |   |   | $ | 5,413 |   |   | $ | 16,029 |   |   | $ | 10,443 |   |\n |   | Acquisition-related and other costs (A) |   | (176 | ) |   |   | (172 | ) |   |   | (37 | ) |   |   | (348 | ) |   |   | (74 | ) |\n |   | Other |   |   | - |   |   |   | - |   |   |   | (15 | ) |   |   | - |   |   |   | (15 | ) |\n | **Non-GAAP operating expenses** | **$** | **8,232** |   |   | **$** | **7,449** |   |   | **$** | **5,361** |   |   | **$** | **15,681** |   |   | **$** | **10,354** |   |\n |   |   |   |   |   |   |   |   |   |   |   |   |\n | GAAP operating income | $ | 63,734 |   |   | $ | 53,536 |   |   | $ | 28,440 |   |   | $ | 117,270 |   |   | $ | 50,078 |   |\n |   | Total impact of non-GAAP adjustments to operating income |   | 222 |   |   |   | 247 |   |   |   | 101 |   |   |   | 469 |   |   |   | 263 |   |\n | **Non-GAAP operating income*** | **$** | **63,956** |   |   | **$** | **53,783** |   |   | **$** | **28,541** |   |   | **$** | **117,739** |   |   | **$** | **50,341** |   |\n |   |   |   |   |   |   |   |   |   |   |   |   |\n | GAAP other income, net | $ | 7,773 |   |   | $ | 16,367 |   |   | $ | 2,766 |   |   | $ | 24,140 |   |   | $ | 3,039 |   |\n |   | Gains from equity securities, net |   | (7,771 | ) |   |   | (15,936 | ) |   |   | (2,247 | ) |   |   | (23,707 | ) |   |   | (2,073 | ) |\n |   | Other (B) |   |   | 298 |   |   |   | 26 |   |   |   | 1 |   |   |   | 323 |   |   |   | 2 |   |\n | **Non-GAAP other income, net** | **$** | **300** |   |   | **$** | **457** |   |   | **$** | **520** |   |   | **$** | **756** |   |   | **$** | **968** |   |\n |   |   |   |   |   |   |   |   |   |   |   |   |\n | GAAP net income | $ | 59,688 |   |   | $ | 58,321 |   |   | $ | 26,422 |   |   | $ | 118,010 |   |   | $ | 45,197 |   |\n |   | Total pre-tax impact of non-GAAP adjustments |   | (7,251 | ) |   |   | (15,663 | ) |   |   | (2,145 | ) |   |   | (22,915 | ) |   |   | (1,808 | ) |\n |   | Income tax impact of non-GAAP adjustments |   | 1,517 |   |   |   | 2,890 |   |   |   | 438 |   |   |   | 4,407 |   |   |   | 418 |   |\n |   | Tax expense from OBBBA** |   | - |   |   |   | - |   |   |   | 48 |   |   |   | - |   |   |   | 48 |   |\n | **Non-GAAP net income*** | **$** | **53,954** |   |   | **$** | **45,548** |   |   | **$** | **24,763** |   |   | **$** | **99,502** |   |   | **$** | **43,855** |   |\n |   |   |   |   |   |   |   |   |   |   |   |   |\n | Diluted net income per share |   |   |   |   |   |   |   |   |   |\n |   | GAAP |   | $ | 2.46 |   |   | $ | 2.39 |   |   | $ | 1.08 |   |   | $ | 4.85 |   |   | $ | 1.84 |   |\n |   | Non-GAAP* |   | $ | 2.22 |   |   | $ | 1.87 |   |   | $ | 1.01 |   |   | $ | 4.09 |   |   | $ | 1.78 |   |\n |   |   |   |   |   |   |   |   |   |   |   |   |\n | Weighted average shares used in diluted net income per share computation |   |   | 24,285 |   |   |   | 24,391 |   |   |   | 24,532 |   |   |   | 24,338 |   |   |   | 24,571 |   |\n |   |   |   |   |   |   |   |   |   |   |   |   |\n | GAAP net cash provided by operating activities | $ | 24,077 |   |   | $ | 50,344 |   |   | $ | 15,365 |   |   | $ | 74,421 |   |   | $ | 42,779 |   |\n |   | Purchases related to property and equipment and intangible assets |   | (2,677 | ) |   |   | (1,757 | ) |   |   | (1,894 | ) |   |   | (4,434 | ) |   |   | (3,122 | ) |\n |   | Principal payments on property and equipment and intangible assets |   | (59 | ) |   |   | (33 | ) |   |   | (21 | ) |   |   | (92 | ) |   |   | (73 | ) |\n | **Free cash flow** |   | **$** | **21,341** |   |   | **$** | **48,554** |   |   | **$** | **13,450** |   |   | **$** | **69,895** |   |   | **$** | **39,584** |   |\n |   |   |   |   |   |   |   |   |   |   |   |   |\n | **Includes H20 charges/(releases), net, which were $4.5 billion and none for the first quarter, and ($180 million) and insignificant for the second quarter, of fiscal years 2026 and 2027, respectively.* |\n | ***Tax expense included represents impact from OBBBA (One Big Beautiful Bill Act).* |\n |   |   |   |   |   |   |   |   |   |   |   |   |\n | (A) Acquisition-related and other costs are comprised of amortization of intangible assets, transaction costs, and certain compensation charges and are included in the following line items: |\n |   |   |   | **Three Months Ended** |   | **Six Months Ended** |\n |   |   |   | **July 26,** |   | **April 26,** |   | **July 27,** |   | **July 26,** |   | **July 27,** |\n |   |   |   |   | **2026** |   |   |   | **2026** |   |   |   | **2025** |   |   |   | **2026** |   |   |   | **2025** |   |\n |   | Cost of revenue | $ | 46 |   |   | $ | 47 |   |   | $ | 49 |   |   | $ | 93 |   |   | $ | 170 |   |\n |   | Research and development | $ | 170 |   |   | $ | 167 |   |   | $ | 29 |   |   | $ | 337 |   |   | $ | 57 |   |\n |   | Sales, general and administrative | $ | 6 |   |   | $ | 5 |   |   | $ | 8 |   |   | $ | 11 |   |   | $ | 17 |   |\n |   |   |   |   |   |   |   |   |   |   |   |   |\n |   |   |   |   |   |   |   |   |   |   |   |   |\n | (B) Comprised of net (gains)/losses on equity derivatives, interest expense related to acquisition consideration discount to be paid in the future, share of net (earnings)/losses related to equity method investments, and dividend income on equity securities. |\n\n\n\n\n  \n\n\n\n | **NVIDIA CORPORATION** |\n | **RECONCILIATION OF GAAP TO NON-GAAP OUTLOOK** |\n |   |   |   |\n |   |\n |   |   | **Q3 FY27 Outlook** |\n |   |   | ($ in billions) |\n |   |   |   |\n | GAAP gross margin |   | 74.0 | % |\n |   | Impact of acquisition-related costs and other costs |   | - |   |\n | **Non-GAAP gross margin** |   | **74.0** | **%** |\n |   |   |   |\n | GAAP operating expenses | $ | 9.2 |   |\n |   | Acquisition-related costs and other costs |   | (0.2 | ) |\n | **Non-GAAP operating expenses** | **$** | **9.0** |   |\n |   |   |   |\n\n\n\n\n\n\n\n\n\n\n\n\n**About NVIDIA**\n\n\n\n[NVIDIA](https://www.nvidia.com/en-us/) (NASDAQ: NVDA) is the world leader in AI and accelerated computing.\n\n\n\n Certain statements in this press release including, but not limited to, statements as to: the buildout of AI factories; expectations with respect to growth, performance and benefits of NVIDIA’s products, services and technologies, including Blackwell and Vera Rubin, and related trends and drivers; expectations with respect to supply and demand for NVIDIA’s products, services and technologies, including Blackwell and Vera Rubin, and related matters including inventory, production and distribution; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners; expectations with respect to our investments; expectations with respect to our financing arrangements; expectations with respect to technology developments, and related trends and drivers; future NVIDIA cash dividends or other returns to stockholders; NVIDIA’s financial and business outlook for the third quarter of fiscal 2027 and beyond; projected market growth and trends; expectations with respect to AI and related industries; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing products and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; NVIDIA’s ability to realize the potential benefits of business investments or acquisitions; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its Annual Report on Form 10-K and Quarterly Reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.\n\n\n\n© 2026 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, BlueField, Cosmos, Nemotron, NVIDIA Isaac, BioNeMo, CUDA-X, NVIDIA DRIVE Hyperion, NVIDIA Spectrum, NVIDIA DSX, NVIDIA RTX, RTX Spark, DGX Station, and Jetson Thor are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and/or other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.\n\n\n\n\n\n\n\n\n\n\n\n## Media Contacts\n\n\n\n\n\n\n\n\n\nToshiya Hari\n\n\n\nInvestor Relations\n\n\n\nNVIDIA Corporation\n\n\n\n[ir@nvidia.com](mailto:ir@nvidia.com)\n\n\n\n\n\n\n\nMylene Mangalindan\n\n\n\nCorporate Communications\n\n\n\nNVIDIA Corporation\n\n\n\n[press@nvidia.com](mailto:press@nvidia.com)\n\n\n\n\n\n\n\n\n\n## Downloads\n\n\n\n\n - [Download Press Release](/_gallery/download_pdf/6a8f4ad73d6332b41f76ab70/)\n\n\n\n\n\n## More News\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n### [NVIDIA and MediaTek Deepen Long-Standing Partnership to Build AI Edge to Cloud Computing Platforms](/news/nvidia-and-mediatek-deepen-long-standing-partnership-to-build-ai-edge-to-cloud-computing-platforms)\n\n\n\n August 31, 2026\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n### [NVIDIA Announces Upcoming Event for Financial Community](/news/nvidia-announces-upcoming-event-for-financial-community-6927858)\n\n\n\n August 27, 2026\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n### [AWS and NVIDIA to Deliver 2 Million Additional GPUs and Next-Generation Infrastructure for Agentic and Physical AI](/news/aws-and-nvidia-to-deliver-2-million-additional-gpus-and-next-generation-infrastructure-for-agentic-and-physical-ai)\n\n\n\n August 26, 2026\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n### [NVIDIA Announces Jetson Orin Nano 2 Robotics Computer to Redefine Entry-Level Edge AI](/news/nvidia-announces-jetson-orin-nano-2-robotics-computer-to-redefine-entry-level-edge-ai)\n\n\n\n August 25, 2026\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n### [NVIDIA Groq 3 LPX Now in Full Production With World-Class Speed for Agentic AI](/news/nvidia-groq-3-lpx-now-in-full-production-with-world-class-speed-for-agentic-ai)\n\n\n\n August 24, 2026\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n**About NVIDIA**\n\n\n\n[NVIDIA](https://www.nvidia.com/en-us/) (NASDAQ: NVDA) is the world leader in AI and accelerated computing.\n\n\n\n Certain statements in this press release including, but not limited to, statements as to: the buildout of AI factories; expectations with respect to growth, performance and benefits of NVIDIA’s products, services and technologies, including Blackwell and Vera Rubin, and related trends and drivers; expectations with respect to supply and demand for NVIDIA’s products, services and technologies, including Blackwell and Vera Rubin, and related matters including inventory, production and distribution; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners; expectations with respect to our investments; expectations with respect to our financing arrangements; expectations with respect to technology developments, and related trends and drivers; future NVIDIA cash dividends or other returns to stockholders; NVIDIA’s financial and business outlook for the third quarter of fiscal 2027 and beyond; projected market growth and trends; expectations with respect to AI and related industries; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing products and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; NVIDIA’s ability to realize the potential benefits of business investments or acquisitions; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its Annual Report on Form 10-K and Quarterly Reports on Form 10-Q. 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{"dispatch_id": "toolu_bdrk_014QPgJA3mDo3CaSBq2S3Mqe", "elapsed": 1.976975707, "error": "", "result": "atlas\n Tracked capitals at 100pt and over against 14pt body copy, alternating slate and paper grounds, photographic collages, and a recurring flight of marks. For travel, place, culture, and any narrative where the headline is the composition.\n palettes: grove, dusk, sand, tide, atlas, basalt, terrain, heather\n treatments: atlas_field, gradient_wash, edge_band\n\nboard\n Dense and numeric, rules instead of colour, numerals in chips. For work that gets decided on: board papers, strategic assessments, equity research, diligence.\n palettes: ledger, institutional, graphite, forest, carbon, bluechip, clay, meridian, bond, minute, bullion, chancery, mandate, readout\n treatments: edge_band, base_bar, gradient_wash\n\nbold\n Poster-scale type, hard image crops, duplex colour fields, and tiny metadata. For proposals, campaigns, launches, manifestos, and public ideas that need immediate conviction.\n palettes: cobalt-cream, vermilion-paper, acid-ink, violet-milk, riptide, fluoro, hi-vis, nettle, kiln, atlas, velvet\n treatments: edge_band, base_bar, corner_rules, atlas_field\n\nbriefing\n Answer-first and action-oriented, with ruled status rows and compact fact rails. For pre-meeting context, handoffs, blockers, and operating briefs.\n palettes: institutional, graphite, carbon, memo, library, quorum, minute, chancery, readout, handoff, manila, signal\n treatments: memo_split, status_rail, decision_bar\n\ndesk\n Content in raised cards on a near-black field, with a running header and no rules to speak of. For diligence, equity research, operating reports, and anything read on a screen rather than printed.\n palettes: graphite, carbon, bluechip, meridian, quorum, pewter, shale, handoff\n treatments: frame_grid, gradient_wash, edge_band\n\ndossier\n Profile-first, portrait-led, facts before narrative. For colleague profiles, bios, team context, and people briefs where the subject is the visual anchor.\n palettes: parchment, ledger, sage, nocturne, cobalt-paper, clay, library, petrol, verdigris, manila, grove, sand, indigo-linen, heather, darkroom\n treatments: archive_spine, folio_frame, paper_wash\n\neditorial\n Serif, essayistic, reads as a document. For analysis and internal writing where the argument carries the deck: reviews, post-mortems, recommendations.\n palettes: parchment, ledger, sage, nocturne, newsprint, clay, shale, errata, cyanotype, folio, verso, marginalia, galley, sand, sloe\n treatments: gradient_wash, corner_rules, split\n\nfeature\n Display type over imagery, half-bleed image columns, inverted section fields. For narrative and brand work where pictures do the arguing.\n palettes: nocturne, petrol, ember, grove, dusk, sand, tide, atlas, peat, atelier, riso, saffron, understory, iris, velvet, gloaming\n treatments: gradient_wash, corner_field, ghost_numeral, atlas_field\n\n", "status": "completed", "tool_name": "shell"}

{"dispatch_id": "toolu_bdrk_01WrwkJ6Dbhx47vLUa9JPdFz", "handle": "", "panel_kind": "write_file", "parent_dispatch_id": "", "tool_input": {"content": "{\n \"title\": \"NVIDIA Q2 FY2027\",\n \"template\": \"board\",\n \"palette\": \"bluechip\",\n \"brand\": { \"name\": \"Q2 FY2027 Results Review\", \"site\": \"quarter ended July 26 2026\" },\n \"slides\": [\n { \"layout\": \"title\", \"title\": \"Compute became revenue and NVIDIA doubled in one year\" },\n { \"layout\": \"metrics\", \"title\": \"Revenue doubled to $96.2 billion with gross margin still at 75 percent\", \"items\": [{ \"value\": \"TBD\" }] },\n { \"layout\": \"table\", \"title\": \"Operating income outgrew revenue while reported net income stalled sequentially\", \"columns\": [\"a\"], \"rows\": [[\"b\"]] },\n { \"layout\": \"section\", \"title\": \"Data Center is now effectively the whole company\", \"eyebrow\": \"01\" },\n { \"layout\": \"bars\", \"title\": \"Data Center supplies 93 percent of the quarter's revenue\", \"items\": [{ \"heading\": \"TBD\", \"amount\": 1 }] },\n { \"layout\": \"numbered\", \"title\": \"Vera Rubin reached full production across every major cloud partner\", \"items\": [{ \"body\": \"TBD\" }] },\n { \"layout\": \"section\", \"title\": \"Profit is compounding but cash conversion is not\", \"eyebrow\": \"02\" },\n { \"layout\": \"metrics\", \"title\": \"Free cash flow halved to $21.3 billion as net income rose\", \"items\": [{ \"value\": \"TBD\" }] },\n { \"layout\": \"table\", \"title\": \"Receivables and inventory absorbed $28 billion of operating cash\", \"columns\": [\"a\"], \"rows\": [[\"b\"]] },\n { \"layout\": \"statement\", \"title\": \"NVIDIA raised $24.9 billion of debt to help finance the buildout it sells into.\" },\n { \"layout\": \"section\", \"title\": \"The guide asks for another record without China\", \"eyebrow\": \"03\" },\n { \"layout\": \"metrics\", \"title\": \"Q3 guides to $108 billion with zero China compute assumed\", \"items\": [{ \"value\": \"TBD\" }] },\n { \"layout\": \"columns\", \"title\": \"Momentum is priced in so the risk has moved to funding\", \"items\": [{ \"heading\": \"TBD\", \"body\": \"TBD\" }] },\n { \"layout\": \"closing\", \"title\": \"Track cash conversion and vendor financing before adding exposure\" }\n ]\n}\n", "file_path": "/workspace/nvda-q2-deck/deck.json"}, "tool_name": "write_file"}

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{"dispatch_id": "toolu_bdrk_01447Yh5E4hsFhUsLeXdubzL", "elapsed": 0.382229625, "error": "", "result": "board deck — pyramid spine, action titles\n Answer first, then the support that earns it.\n\nRead only these. They should carry the argument to the recommendation\nwithout a single body line.\n\n 1 Compute became revenue and NVIDIA doubled in one year\n 2 Revenue doubled to $96.2 billion with gross margin still at 75 percent\n 3 Operating income outgrew revenue while reported net income stalled sequentially\n 4 § Data Center is now effectively the whole company\n 5 Data Center supplies 93 percent of the quarter's revenue\n 6 Vera Rubin reached full production across every major cloud partner\n 7 § Profit is compounding but cash conversion is not\n 8 Free cash flow halved to $21.3 billion as net income rose\n 9 Receivables and inventory absorbed $28 billion of operating cash\n 10 NVIDIA raised $24.9 billion of debt to help finance the buildout it sells into.\n 11 § The guide asks for another record without China\n 12 Q3 guides to $108 billion with zero China compute assumed\n 13 Momentum is priced in so the risk has moved to funding\n 14 Track cash conversion and vendor financing before adding exposure\n\nMinto's order, and what a reader deciding something needs: state the answer on the first slide, then group the support beneath it. Each section divider states that section's conclusion, so the dividers alone are the skeleton of the argument.\n", "status": "completed", "tool_name": "shell"}

{"dispatch_id": "toolu_bdrk_01Dt9KVb1NAVcw1JH4gUbgZ6", "handle": "", "panel_kind": "write_file", "parent_dispatch_id": "", "tool_input": {"content": "{\n \"title\": \"NVIDIA Q2 FY2027\",\n \"template\": \"board\",\n \"palette\": \"bluechip\",\n \"brand\": { \"name\": \"Q2 FY2027 Review\", \"site\": \"quarter ended July 26 2026\" },\n \"slides\": [\n {\n \"layout\": \"title\",\n \"eyebrow\": \"NVDA — Nasdaq\",\n \"title\": \"Compute became revenue and NVIDIA doubled in one year\",\n \"subtitle\": \"Second quarter fiscal 2027, reported August 26 2026\",\n \"items\": [\n { \"heading\": \"Revenue\", \"value\": \"$96.2B\" },\n { \"heading\": \"Y/Y growth\", \"value\": \"+106%\" },\n { \"heading\": \"Gross margin\", \"value\": \"75.0%\" }\n ],\n \"notes\": \"All figures from NVIDIA's Q2 FY2027 press release, quarter ended July 26 2026, published August 26 2026.\"\n },\n {\n \"layout\": \"metrics\",\n \"title\": \"Revenue doubled to $96.2 billion with gross margin still at 75 percent\",\n \"items\": [\n { \"heading\": \"Revenue\", \"value\": \"$96.2B\", \"body\": \"Up 18% Q/Q and 106% Y/Y from $46.7B\" },\n { \"heading\": \"Gross margin\", \"value\": \"75.0%\", \"body\": \"GAAP and non-GAAP, versus 72.4% a year ago\" },\n { \"heading\": \"Operating income\", \"value\": \"$63.7B\", \"body\": \"Up 124% Y/Y on opex up only 55%\" },\n { \"heading\": \"Non-GAAP EPS\", \"value\": \"$2.22\", \"body\": \"Up 120% Y/Y, GAAP EPS $2.46\" }\n ],\n \"notes\": \"Source: NVIDIA Q2 FY2027 press release summary tables. Non-GAAP measures now include stock-based compensation, a change made in Q1 FY2027.\"\n },\n {\n \"layout\": \"table\",\n \"title\": \"Operating income outgrew revenue while reported net income stalled sequentially\",\n \"columns\": [\"GAAP ($M)\", \"Q2 FY27\", \"Q1 FY27\", \"Q2 FY26\", \"Y/Y\"],\n \"rows\": [\n [\"Revenue\", \"96,221\", \"81,615\", \"46,743\", \"+106%\"],\n [\"Gross profit\", \"72,142\", \"61,157\", \"33,853\", \"+113%\"],\n [\"Operating expenses\", \"8,408\", \"7,621\", \"5,413\", \"+55%\"],\n [\"Operating income\", \"63,734\", \"53,536\", \"28,440\", \"+124%\"],\n [\"Other income, net\", \"7,773\", \"16,367\", \"2,766\", \"+181%\"],\n [\"Net income\", \"59,688\", \"58,321\", \"26,422\", \"+126%\"]\n ],\n \"notes\": \"Net income rose only 2% Q/Q because Q1 carried $15.9B of equity-securities gains against $7.8B this quarter. Non-GAAP net income, which strips those gains, rose 18% Q/Q to $54.0B. Source: NVIDIA Q2 FY2027 income statement and GAAP-to-non-GAAP reconciliation.\"\n },\n {\n \"layout\": \"section\",\n \"eyebrow\": \"01\",\n \"title\": \"Data Center is now effectively the whole company\",\n \"body\": \"Two reported segments, one of which is 93% of revenue and all of the growth.\",\n \"notes\": \"NVIDIA now reports Data Center and Edge Computing.\"\n },\n {\n \"layout\": \"bars\",\n \"title\": \"Data Center supplies 93 percent of the quarter's revenue\",\n \"items\": [\n { \"heading\": \"Data Center — Q2 FY26\", \"value\": \"$41.1B\", \"amount\": 41.1 },\n { \"heading\": \"Data Center — Q1 FY27\", \"value\": \"$75.2B\", \"amount\": 75.2 },\n { \"heading\": \"Data Center — Q2 FY27\", \"value\": \"$89.0B\", \"amount\": 89.0 },\n { \"heading\": \"Edge Computing — Q2 FY27\", \"value\": \"$7.2B\", \"amount\": 7.2 }\n ],\n \"notes\": \"Data Center $89.0B, up 18% Q/Q and 117% Y/Y. Edge Computing $7.2B, up 13% Q/Q and 27% Y/Y. Q1 FY27 Data Center of $75.2B is from NVIDIA's Q1 FY2027 release; Q2 FY26 of $41.1B is as reported for that quarter. Source: NVIDIA quarterly press releases.\"\n },\n {\n \"layout\": \"numbered\",\n \"title\": \"Vera Rubin reached full production across every major cloud partner\",\n \"items\": [\n { \"heading\": \"Ramp\", \"body\": \"Vera Rubin in full production with CoreWeave, Google Cloud, Azure, OCI and Nebius\" },\n { \"heading\": \"Network\", \"body\": \"Spectrum-6 switch systems shipping into gigascale AI factories\" },\n { \"heading\": \"Silicon\", \"body\": \"Vera CPU for agents unveiled; Groq 3 LPX inference accelerator in full production\" },\n { \"heading\": \"Capital\", \"body\": \"Financing platforms with six asset managers to mobilise over $500B of third-party capital\" },\n { \"heading\": \"Sovereign\", \"body\": \"National AI infrastructure programmes in Japan and Korea, 35 new supercomputers in Europe\" }\n ],\n \"notes\": \"Highlights as listed in the Q2 FY2027 release. Financing partners: Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR, subject to definitive agreements.\"\n },\n {\n \"layout\": \"section\",\n \"eyebrow\": \"02\",\n \"title\": \"Profit is compounding but cash conversion is not\",\n \"body\": \"Record earnings arrived alongside the weakest cash quarter in a year.\",\n \"notes\": \"Source: NVIDIA Q2 FY2027 cash flow statement.\"\n },\n {\n \"layout\": \"metrics\",\n \"title\": \"Free cash flow halved to $21.3 billion as net income rose\",\n \"items\": [\n { \"heading\": \"Operating cash flow\", \"value\": \"$24.1B\", \"body\": \"Down from $50.3B in Q1, against net income of $59.7B\" },\n { \"heading\": \"Free cash flow\", \"value\": \"$21.3B\", \"body\": \"Down from $48.6B in Q1, up from $13.5B a year ago\" },\n { \"heading\": \"Cash conversion\", \"value\": \"36%\", \"body\": \"Free cash flow over net income, versus 83% in Q1\" },\n { \"heading\": \"Capex\", \"value\": \"$2.7B\", \"body\": \"Up 41% Y/Y as owned capacity expands\" }\n ],\n \"notes\": \"Cash conversion is calculated as free cash flow divided by GAAP net income: 21,341/59,688 = 36%, versus 48,554/58,321 = 83% in Q1 FY27. Source: NVIDIA Q2 FY2027 cash flow statement and non-GAAP reconciliation.\"\n },\n {\n \"layout\": \"table\",\n \"title\": \"Receivables and inventory absorbed $28 billion of operating cash\",\n \"columns\": [\"Working capital ($M)\", \"Q2 FY27\", \"Q2 FY26\"],\n \"rows\": [\n [\"Accounts receivable\", \"(22,346)\", \"(5,675)\"],\n [\"Inventories\", \"(5,784)\", \"(3,622)\"],\n [\"Prepaid and other assets\", \"(5,497)\", \"387\"],\n [\"Accounts payable\", \"1,915\", \"1,314\"],\n [\"AR balance, end of period\", \"63,059\", \"—\"],\n [\"Inventory balance, end of period\", \"31,575\", \"—\"]\n ],\n \"notes\": \"Receivables grew $22.3B in the quarter and the balance reached $63.1B, up from $38.5B at fiscal year end January 25 2026. Inventory reached $31.6B from $21.4B. Source: NVIDIA Q2 FY2027 balance sheet and cash flow statement.\"\n },\n {\n \"layout\": \"statement\",\n \"title\": \"NVIDIA raised $24.9 billion of debt to help fund the buildout it sells into.\",\n \"body\": \"Long-term debt went from $7.5B to $32.4B in six months while $26.0B went back to shareholders.\",\n \"notes\": \"Debt issuance proceeds of $24,896M in Q2 FY27, the first such raise in the comparable periods shown. Shareholder returns of $19.7B buybacks plus $6.0B dividends; $99.0B remains authorised. Equity and non-marketable investments now total roughly $94B, up from $35B at year end. Source: NVIDIA Q2 FY2027 balance sheet, cash flow statement and release text.\"\n },\n {\n \"layout\": \"section\",\n \"eyebrow\": \"03\",\n \"title\": \"The guide asks for another record without China\",\n \"body\": \"Q3 implies $12B of sequential growth with no China compute in the number.\",\n \"notes\": \"Source: NVIDIA Q3 FY2027 outlook.\"\n },\n {\n \"layout\": \"metrics\",\n \"title\": \"Q3 guides to $108 billion with zero China compute assumed\",\n \"items\": [\n { \"heading\": \"Revenue guide\", \"value\": \"$108.0B\", \"body\": \"Plus or minus 2%, implying 12% sequential growth\" },\n { \"heading\": \"Gross margin guide\", \"value\": \"74.0%\", \"body\": \"Plus or minus 50bp, down 100bp from Q2\" },\n { \"heading\": \"Opex guide\", \"value\": \"$9.2B\", \"body\": \"GAAP, up 9% Q/Q; $9.0B non-GAAP\" },\n { \"heading\": \"China Data Center compute\", \"value\": \"$0\", \"body\": \"Explicitly excluded from the outlook\" }\n ],\n \"notes\": \"Full-year FY2027 GAAP and non-GAAP tax rates guided to 16-18%. Source: NVIDIA Q2 FY2027 release, Outlook section.\"\n },\n {\n \"layout\": \"columns\",\n \"title\": \"Demand and margin look secured so the risk sits in funding\",\n \"items\": [\n { \"heading\": \"Secured\", \"body\": \"Vera Rubin in volume, 75% gross margin held, opex growing at half the rate of revenue\" },\n { \"heading\": \"Watch\", \"body\": \"Receivables at $63.1B and inventory at $31.6B against a 74% margin guide\" },\n { \"heading\": \"Question\", \"body\": \"How much Q3 demand depends on capital NVIDIA itself raised, invested or guaranteed\" }\n ],\n \"notes\": \"The funding question follows from three disclosed items: $24.9B of new debt, roughly $94B of equity and non-marketable investments, and the $500B third-party financing platforms. NVIDIA does not disclose how much revenue is attributable to entities it has invested in.\"\n },\n {\n \"layout\": \"closing\",\n \"title\": \"Confirm cash conversion next quarter before raising exposure\",\n \"body\": \"Thesis intact on demand; the open item is whether cash follows the earnings.\",\n \"items\": [\n { \"heading\": \"Decision\", \"value\": \"Hold\" },\n { \"heading\": \"Trigger\", \"value\": \"FCF/NI above 60%\" },\n { \"heading\": \"Date\", \"value\": \"Q3 FY27 report\" }\n ],\n \"notes\": \"Q3 FY2027 quarter ends late October 2026 with results typically reported in the second half of November. NVIDIA's next dividend of $0.25 per share is payable October 1 2026 to holders of record September 10 2026.\"\n }\n ]\n}\n", "file_path": "/workspace/nvda-q2-deck/deck.json"}, "tool_name": "write_file"}

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{"dispatch_id": "toolu_bdrk_017Gkfrvi4gJs7fcQKM4w82e", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {"command": "cd /workspace/nvda-q2-deck && deckbuild build deck.json 2>&1 | tail -30 && echo \"---CHECK---\" && deckbuild check deck.json 2>&1 | tail -30"}, "tool_name": "shell"}

{"dispatch_id": "toolu_bdrk_017Gkfrvi4gJs7fcQKM4w82e", "elapsed": null, "error": "", "fields": {"progress": {"message": "", "metadata": {"browser_chain": false, "command": "cd /workspace/nvda-q2-deck && deckbuild build deck.json 2>&1 | tail -30 && echo \"---CHECK---\" && dec...", "phase": "starting"}}, "status": "running", "updatedAt": 1788577062381}, "result": null, "status": "running", "tool_name": "shell"}

{"dispatch_id": "toolu_bdrk_017Gkfrvi4gJs7fcQKM4w82e", "elapsed": 0.805639624, "error": "", "result": "deckbuild: 1 layout error(s) — nothing written.\n slide 6: text_overflow — slide6.item1.n needs 2 lines (0.22 in) but its box holds 1 (0.11 in) — cut about 1 words\n\nFix the content (usually: fewer words, or split the slide), or re-run with --debug-boxes --force to see it.\n---CHECK---\n \"w\": 0.42,\n \"h\": 0.111\n }\n ]\n }\n ],\n \"warnings\": [],\n \"missingImages\": [],\n \"croppedImages\": [],\n \"substitutedFonts\": [],\n \"style\": [],\n \"storyline\": [],\n \"spine\": [\n \" 1 Compute became revenue and NVIDIA doubled in one year\",\n \" 2 Revenue doubled to $96.2 billion with gross margin still at 75 percent\",\n \" 3 Operating income outgrew revenue while reported net income stalled sequentially\",\n \" 4 \\u00a7 Data Center is now effectively the whole company\",\n \" 5 Data Center supplies 93 percent of the quarter's revenue\",\n \" 6 Vera Rubin reached full production across every major cloud partner\",\n \" 7 \\u00a7 Profit is compounding but cash conversion is not\",\n \" 8 Free cash flow halved to $21.3 billion as net income rose\",\n \" 9 Receivables and inventory absorbed $28 billion of operating cash\",\n \" 10 NVIDIA raised $24.9 billion of debt to help fund the buildout it sells into.\",\n \" 11 \\u00a7 The guide asks for another record without China\",\n \" 12 Q3 guides to $108 billion with zero China compute assumed\",\n \" 13 Demand and margin look secured so the risk sits in funding\",\n \" 14 Confirm cash conversion next quarter before raising exposure\"\n ],\n \"geometry\": []\n}\n", "status": "completed", "tool_name": "shell"}

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{"dispatch_id": "toolu_bdrk_01MhA6Ww2Wbdyj3saUKvFJ33", "elapsed": 0.468125027, "error": "", "result": {"artifact_keys": [{"attachment_url": "s3://sessions/74386ef6-b298-4828-b32e-527d288c81eb/uploads/a1402075-8a0/deck.pptx", "path": "deck.pptx", "s3_key": "sessions/74386ef6-b298-4828-b32e-527d288c81eb/uploads/a1402075-8a0/deck.pptx"}], "message": "File displayed to the user.", "status": "success"}, "status": "completed", "tool_name": "upload_file"}

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{"dispatch_id": "toolu_bdrk_01FDwym5oRTPep9f9qRfnLgh", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {"final": true, "in_response_to": "58461c36", "message": "Built it from NVIDIA's Q2 FY2027 release (quarter ended Jul 26, reported Aug 26). 14 slides, editable PowerPoint plus a preview, both attached.\n\nThe spine:\n- Revenue $96.2B, +106% Y/Y, gross margin held at 75.0%, non-GAAP EPS $2.22\n- Data Center $89.0B is 93% of revenue; Edge Computing $7.2B\n- The catch: free cash flow halved to $21.3B as receivables and inventory absorbed $28B, and $24.9B of new debt took long-term debt from $7.5B to $32.4B\n- Q3 guide $108B ±2% at 74.0% margin, with zero China compute assumed\n\nI framed it as an equity-research read, so it ends on a recommendation rather than a recap. Source: [NVIDIA's Q2 FY2027 press release](https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-second-quarter-fiscal-2027).\n\nWant it in your Drive, or a straight results summary with no editorial view?"}, "tool_name": "send_message"}

{"dispatch_id": "toolu_bdrk_01FDwym5oRTPep9f9qRfnLgh", "elapsed": 5.959001545, "error": "", "result": "Delivered (confirmed) as 3 messages. Your draft was polished into texting register, so the wording differs from what you wrote; this is exactly what the user sees:\n1) Built it from NVIDIA’s Q2 FY2027 release, quarter ended Jul 26 and reported Aug 26. It’s 14 slides, with an editable PowerPoint and preview attached.\n2) ### NVIDIA Q2 FY2027 deck · Slide deck outline\n\n| Slide-deck spine | Details |\n|---|---|\n| Revenue | $96.2B, +106% Y/Y, gross margin held at 75.0%, non-GAAP EPS $2.22 |\n| Business mix | Data Center $89.0B, 93% of revenue; Edge Computing $7.2B |\n| Cash and debt | Free cash flow halved to $21.3B as receivables and inventory absorbed $28B; $24.9B of new debt took long-term debt from $7.5B to $32.4B |\n| Q3 guide | $108B ±2% at 74.0% margin, with zero China compute assumed |\n| Framing | Equity-research read ending on a recommendation rather than a recap |\n| Source | [NVIDIA's Q2 FY2027 press release](https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-second-quarter-fiscal-2027) |\n3) Want it in your Drive, or a straight results summary with no editorial view?\nThese are your words now, and this is the whole reply: the delivery layer chose its density and shape by design. Never dispute, re-explain, or apologize for the phrasing, and never send a supplement to restore detail it left out. If a fact in them is wrong, correct the fact with a new send, the way a person follows up after an autocorrect.\n\nYour turn continues.\nanswers: 58461c36-0483-498a-9a81-b75711c9e023", "status": "completed", "tool_name": "send_message"}

{"dispatch_id": "toolu_bdrk_01GSTuxCi1c6o88yX3cT2xvC", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {"final": true, "in_response_to": "58461c36", "message": "14 slides on Q2 FY2027 (quarter ended Jul 26, reported Aug 26), as an editable PowerPoint plus a preview. I built it as a board / equity-research read, so it ends on a recommendation rather than a recap.\n\nThe spine:\n- Revenue $96.2B, +106% Y/Y, gross margin held at 75.0%, non-GAAP EPS $2.22\n- Data Center $89.0B is 93% of revenue; Edge Computing $7.2B\n- The catch: free cash flow halved to $21.3B as receivables and inventory absorbed $28B, and $24.9B of new debt took long-term debt from $7.5B to $32.4B\n- Q3 guide $108B ±2% at 74.0% margin, with zero China compute assumed\n\nEvery figure is from [NVIDIA's release](https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-second-quarter-fiscal-2027), sourced in the speaker notes. Want it in your Drive, or a straight results summary without the editorial view?"}, "tool_name": "send_message"}

{"dispatch_id": "toolu_bdrk_01GSTuxCi1c6o88yX3cT2xvC", "elapsed": 0.002096584, "error": "", "result": "Not delivered. That message already has its reply and nothing has happened since; another final would repeat it to the user. If everything is done, end your turn and the run ends. Something genuinely new for that message counts as new only after new work or a new message.", "status": "completed", "tool_name": "send_message"}

Built it from NVIDIA’s Q2 FY2027 release, quarter ended Jul 26 and reported Aug 26. It’s 14 slides, with an editable PowerPoint and preview attached.

### NVIDIA Q2 FY2027 deck · Slide deck outline | Slide-deck spine | Details | |---|---| | Revenue | $96.2B, +106% Y/Y, gross margin held at 75.0%, non-GAAP EPS $2.22 | | Business mix | Data Center $89.0B, 93% of revenue; Edge Computing $7.2B | | Cash and debt | Free cash flow halved to $21.3B as receivables and inventory absorbed $28B; $24.9B of new debt took long-term debt from $7.5B to $32.4B | | Q3 guide | $108B ±2% at 74.0% margin, with zero China compute assumed | | Framing | Equity-research read ending on a recommendation rather than a recap | | Source | [NVIDIA's Q2 FY2027 press release](https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-second-quarter-fiscal-2027) |

Want it in your Drive, or a straight results summary with no editorial view?

Order me gluten free chicken pad thai and green curry with tofu with french fries

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{"dispatch_id": "toolu_016WUsPeucv3rC2AWXFgE18U", "elapsed": 0.145992993, "error": "", "result": {"results": [{"citation": "seg://41108538", "confidence": "high", "score": 1, "segment_id": "41108538-3b55-53a5-9840-10e0333a7f46", "snippet": "The user enjoys art and design, Nintendo, and high-quality Japanese food, especially for travel planning.", "source": "fact", "timestamp": "2026-09-04 7:49 PM PDT (UTC-07:00)"}, {"citation": "seg://fa3bac1e", "score": 0.9704, "snippet": "On September 4, 2026, the user asked Hark to obtain two tickets for The Odyssey in true IMAX 70mm for the weekend of September 5–6. Hark identified AMC Metreon 16 in San Francisco and Regal Hacienda Crossings in Dublin as possible Bay Area venues, then started a browser search for exact showtimes, prices, and seat availability; the user canceled the search before results were returned, and no tickets were purchased. Later, the user asked Hark to order gluten-free chicken pad thai, green curry with tofu, and french fries. Hark requested the delivery address, the preferred delivery app, and clarification about whether the fries should accompany the curry or be ordered separately; no food order was placed.", "source": "episode", "subject": "IMAX Ticket Search and Thai Food Order Requests — September 4, 2026", "summary": "The user’s IMAX 70mm ticket search was canceled before completion, with no purchase made. The user’s Thai food order remained pending because delivery details, app selection, and the fries arrangement were still needed.", "timestamp": "2026-09-04 10:10 AM PDT (UTC-07:00)"}, {"citation": "seg://3986b36a", "score": 0.9526, "snippet": "On September 4, 2026, the user asked Hark to book a New York hotel for Friday, September 11 through Sunday, September 13, 2026. Hark searched relevant context and email, found no additional booking details, and asked for the number of guests, nightly budget, and preferred neighborhood; no reservation was made. The user then asked Hark to order a 1-meter USB cable and Hario coffee filters from Amazon. Hark initiated Amazon sign-in and asked the user to complete it, while also requesting the filter size or model, cable connector type, delivery address, and required arrival date; no order was placed. Finally, the user asked Hark to create a high-protein meal plan and have the groceries delivered from Walmart. Hark began searching relevant context for dietary preferences, allergies, household size, and delivery details, but the request remained incomplete.", "source": "episode", "subject": "September 4, 2026 Travel, Amazon, and Walmart Requests", "summary": "The user initiated three assistance requests on September 4, 2026: a New York hotel booking for September 11–13, an Amazon order for a USB cable and Hario filters, and a Walmart high-protein meal-plan grocery delivery. All three remained pending required details or sign-in, and no purchase or reservation was completed.", "timestamp": "2026-09-04 6:15 PM PDT (UTC-07:00)"}, {"citation": "seg://ffad8540", "score": 0.5903, "snippet": "On September 4, 2026, Hark began preparing a Walmart order for the user and initiated Walmart sign-in at walmart.com. Walmart sign-in was handed off to the user, who was instructed to tap the one-time Sign in button. Hark requested the number of days, number of people, dietary restrictions or foods to avoid, daily protein target, and budget, but the user provided no answers and no order was placed.", "source": "episode", "subject": "Walmart Order Preparation and Sign-In Handoff — September 4, 2026", "summary": "Hark started a Walmart ordering task and handed sign-in to the user. The task remained pending because the user did not provide planning details, and no purchase was completed.", "timestamp": "2026-09-04 6:19 PM PDT (UTC-07:00)"}, {"citation": "seg://a400e6ad", "score": 0.4572, "snippet": "On September 4, 2026, the user asked Hark to book a doctor’s appointment. Hark asked which doctor or clinic, what timing worked, and whether the user was in Santa Clara County. The user then asked Hark to find a new fall wardrobe and build it as a shopping site; Hark asked for menswear or womenswear, sizing basics, budget per piece, and preferred style vibe. The user also asked Hark to build a monthly budget; Hark requested monthly take-home pay and major fixed costs such as rent or mortgage, car expenses, loans, and insurance, offering to build a spreadsheet that calculated the totals.", "source": "episode", "subject": "Requests for Doctor Appointment, Fall Wardrobe, and Monthly Budget", "summary": "The user initiated three personal-assistance projects on September 4, 2026: booking a doctor’s appointment, creating a fall wardrobe shopping site, and building a monthly budget. Each project remained pending the user’s requested details.", "timestamp": "2026-09-04 10:04 AM PDT (UTC-07:00)"}, {"citation": "seg://41108538", "score": 0.4565, "snippet": "On September 4, 2026, the user asked Hark to build a single-page website for a Tokyo trip planned for Friday, September 11 through Sunday, September 13, 2026. The user specified interests in art and design, Nintendo, and excellent Japanese food, and requested that the website contain all trip details. Hark chose a restrained “Densha Board” direction inspired by Tokyo rail signage and editorial print, with timetable-style logistics, hairline grid rules, newsprint tones, Yamanote green, and vermillion booking accents; Hark rejected a museum-minimalist concept as too sparse and a Famicom-themed concept as too kitschy. Hark dispatched two research tasks covering verified 2026 art, design, Nintendo, food, transportation, lodging, weather, entry requirements, and reservations, including the September 11–13 dates. Hark also searched for imagery of Tokyo, teamLab Borderless, Nintendo TOKYO, sushi, and Omotesando architecture, created an image-download plan, and began downloading candidate assets. The website had not yet been built or delivered when the conversation ended.", "source": "episode", "subject": "Tokyo Art, Nintendo, and Food Trip Website in Progress", "summary": "Hark began creating a detailed Tokyo weekend itinerary website for September 11–13, 2026, tailored to the user’s interests in art, design, Nintendo, and Japanese food. Research and visual asset preparation were underway, with the final site still pending.", "timestamp": "2026-09-04 7:49 PM PDT (UTC-07:00)"}, {"citation": "seg://615bd3ef", "score": 0.389, "snippet": "On September 4, 2026, the user asked Hark to book a New York hotel for the following weekend. Hark resolved the dates to Friday, September 11 through Sunday, September 13, and requested the preferred neighborhood, nightly budget, and number of guests; no booking was completed. The user then asked Hark to turn NVIDIA’s Q2 fiscal 2027 report into a slide deck. Hark used NVIDIA’s August 26, 2026 earnings release, which reported Q2 revenue of $96.2 billion, up 106% year over year; Data Center revenue of $89.0 billion, up 117%; 75.0% gross margin; and Q3 revenue guidance of $108.0 billion plus or minus 2%, excluding China Data Center compute revenue. Hark created a 12-slide board-style deck using the bluechip palette, emphasizing NVIDIA’s growth, Data Center concentration, Vera Rubin production, cash conversion and working-capital pressures, capital allocation, and Q3 guidance. The deck built successfully as a PowerPoint file, passed validation for PowerPoint, Keynote, and Google Slides with no warnings or missing images, and was sent for file delivery.", "source": "episode", "subject": "NVIDIA Q2 FY2027 Slide Deck and New York Hotel Request", "summary": "The hotel request remained pending the user’s travel preferences. Hark completed and validated a 12-slide NVIDIA Q2 FY2027 board deck based on the company’s official earnings release, highlighting strong growth alongside cash-conversion and China-related guidance risks.", "timestamp": "2026-09-04 5:27 PM PDT (UTC-07:00)"}, {"citation": "seg://3bd0d853", "score": 0.3793, "snippet": "On September 4, 2026, the assistant prepared assets and specifications for the “TOKYO WEEKEND” itinerary site covering September 11–13, 2026. The assistant inspected candidate images, identified invalid Nintendo files, searched for suitable shoyu ramen and Omoide Yokocho photographs, and selected real-photo assets: hero.jpg, teamlab.jpg, nintendo.jpg, prada.jpg, sushi.jpg, ramen.jpg, and yokocho.jpg. The assistant documented a Swiss International signage and editorial-print direction with warm newsprint paper, blue-black ink, JR green accents, restrained vermillion booking flags, Helvetica typography, monospace timetable data, a two-column itinerary grid, station discs, hairline rules, day rail navigation, reduced-motion support, and terse expert copy. The assistant then copied and optimized the selected images for web use, including resizing hero.jpg to a maximum width of 2000 pixels and the supporting images to approximately 1400 pixels.", "source": "episode", "subject": "Tokyo Weekend itinerary site asset and design preparation", "summary": "The assistant established the visual system, content structure, and real-photo asset set for the Tokyo Weekend itinerary site, then prepared optimized image files for implementation.", "timestamp": "2026-09-04 7:54 PM PDT (UTC-07:00)"}, {"citation": "seg://3d156183", "score": 0.2836, "snippet": "On September 4, 2026, the assistant delivered an editable 12-slide PowerPoint deck, deck.pptx, covering NVIDIA’s Q2 FY2027 results for the quarter ended July 26, 2026 and reported August 26, 2026. The deck highlighted $96.2 billion revenue, up 106%; Data Center revenue of $89.0 billion, up 117%; 75.0% gross margin; $2.46 GAAP EPS; and a Q3 FY2027 revenue guide of $108 billion assuming zero China Data Center revenue. The deck also emphasized operating cash flow falling to $24.1 billion as receivables increased by $22.3 billion. The assistant provided NVIDIA’s press release as the source and offered to convert the PowerPoint into a Google Slides deck.", "source": "episode", "subject": "NVIDIA Q2 FY2027 Financial Results Deck Delivered", "summary": "The assistant delivered a 12-slide editable NVIDIA Q2 FY2027 presentation on September 4, 2026. 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The New York Times page returned HTTP 403, so Hark searched for corroborating coverage and found that the Metropolitan Museum of Art’s planned Spring 2027 Costume Institute exhibition, “John Galliano: Horizons,” was canceled after backlash from donors, politicians, Jewish leaders, and critics over Galliano’s 2011 antisemitic hate-crime conviction. Additional source fetches from NPR and the Met failed, and Hark began another background search before the episode ended.", "source": "episode", "subject": "Amazon USB Cord Return and John Galliano Met Gala Story Summary", "summary": "The Amazon return remained pending the user’s sign-in and return reason. The requested Galliano article could not be accessed directly, but search results indicated that the Met canceled the planned 2027 exhibition amid backlash related to Galliano’s antisemitic outburst and conviction.", "timestamp": "2026-09-04 10:19 AM PDT (UTC-07:00)"}]}, "status": "completed", "tool_name": "memory"}

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{"dispatch_id": "toolu_01LRq97kVuXDxnZ2gTAwynnq", "elapsed": 0.004087087, "error": "", "result": {"address": "_system/ordering-food", "content": "# Food Ordering\n\nHow to handle a request to order food for delivery.\n\n## Before spinning up browser\n\n- If a user is already logged in to delivery service via connected account, and a user specifies where they want food delivered (ie Palo Alto) - and you don’t simply have that information in memory - check the delivery service for the stored address, then confirm it with user\n- If there’s no address stored by a connection or in memory, still confirm user’s address to know the delivery range of restaurant before presenting setup_login\n- Only after address is confirmed with user, suggest delivery platforms. Prioritize saved platform from searching user email. 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Don't discover a missing side or a missing dietary\n option after the cart is otherwise built.\n- For a dietary constraint (gluten-free, vegan, allergy, etc.), prefer restaurants/items that\n mark it explicitly in a way that reaches the kitchen (e.g. an actual allergy checkbox on\n the platform), not an item name or description that merely sounds compatible.\n- If people have multiple credit cards, save and suggest the correct credit card based on location. Suggest a work card when they’re at work. Personal card for home.\n- If any deal is about to expire for food not checked out in someone’s cart, message them 15 minutes before the deal expires.\n- If a restaurant is about to close for an order not checked out in someone’s cart, message them 15 minutes before the store closes so they can still order.\n\n## Prioritize best picks when not specified\n\n- If the restaurant is unspecified by user, search user’s ordering history and suggest their favorite applicable restaurants from that first.\n- Check email and service history during ordering. If the person has ordered from the same restaurant repeatedly with the same order, offer to repeat their last order, and if they confirm, fill their cart and order with identical items.\n- If the user has no history or favorites you see, offer them the top options. “Top options” is defined by third party sites like yelp, google reviews, and published lists from local media. Unless told otherwise by user, don’t prioritize chain restaurants, and don’t inform user of this decision.\n- Surface deals: call out the best active promo balancing price and quality\n- Flag to use if and when the order is close to a free-delivery or coupon (ie spend $25 to save 15%), suggesting a low cost add-on to their order that meets the minimum\n- All else equal, prefer the option with cheaper delivery and a higher rating.\n\n## Displaying choices to user\n\n- When presenting order options, pull real images of suggested food items (either from delivery service or third party sites like yelp or instagram) to help user make a decision when choosing, and present them as a cluster or pile\n- For the annotation bubble appended to the order confirmation table, label it with a summary of the total charge and credit card being used.\n\n## Customization for all orders\n\n- If food is running late (ie 20 minutes later than estimate at time of ordering), message the driver and support line flagging that the food is running late. Then inform user of any response.\n- If user complains that an item is missing, follow the right steps for them, flagging the missing item in the backend of the delivery service to receive a refund.\n- If ETA grows considerably on checkout screen (ie it goes from 20 minute delivery when setting the cart and jump to 60 minutes), flag to user and offer to try to order the same thing from another faster restaurant\n- If a user enters a credit card as part of the process, associate that card to the address they are using for delivery, and save it to your memory as default link between the two\n\n## For group orders\n\n- If user asks to share an order or set up a group order, confirm restaurant and payment option with user (ie if user pays or each individual chooses). Then copy the link, and share it with user’s stated recipients. If you don’t know, ask their names and preferred means of contact (ie, send to a Slack channel for work teams, email, or send text messages).\n- Check if anyone in group has food allergies or other dietary restrictions\n\n## When something can't be fulfilled as asked\n\n- If no option matches a stated constraint (e.g. no gluten-free version of the requested\n dish), don't silently substitute. Proactively suggest the closest alternative that still\n fits the rest of the request (same cuisine, adjusted dish), and say what changed.\n- If a specific item can't be ordered from the chosen restaurant (e.g. fries), flag it before\n finalizing rather than dropping it silently. Offer to place the order without it, or to\n source it from a second restaurant. Don't add a second order automatically without asking.\n- When the full request genuinely can't come from one restaurant, splitting into a second,\n concurrent order (e.g. a platform's multi-restaurant/\"add-on\" order feature) is fine once\n the user has agreed to it. Each leg of a split order has its own submission window; track\n it and complete that leg before it can time out.\n\n## Confirming and placing the order\n\n- Before charging anything, show the user a summary: items, restaurant, subtotal, fees/tip,\n total, delivery address, and payment method. Place the order only after explicit\n confirmation of that specific summary. A new item, price, or restaurant needs a new\n confirmation.\n- Use a payment method already on file; don't ask the user to re-enter card details.\n\n## After placing the order\n\n- Confirm the order back to the user with the restaurant, delivery address, and estimated\n arrival window.\n- If a live tracker is available, surface it. When the order arrives, let the user know.\n- When order is confirmed, create a panel/widget tracking the delivery that updates every 10 minutes. Delete it 10 minutes after delivery.\n\nFollow these instructions as your guide. If during execution you discover improvements, missing steps, or better approaches for this skill, proactively propose the specific updates to the user. Use the skill tool's create/edit actions to save improvements.", "resolved_from": null, "success": true}, "status": "completed", "tool_name": "skill"}

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Return my USB cord to Amazon

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{"dispatch_id": "toolu_01Kri94ZSZAnPvSfodJLXVTb", "elapsed": 0.005392994, "error": "", "result": {"address": "_system/returning-amazon", "content": "# Returning an Amazon order\n\nHow to handle a request to return an item bought on Amazon.\n\n## Before spinning up browser\n\n- Ask user to log into Amazon account.\n- In two sentences or less, ask the user for all information needed to make the return, including which item description, order date, quantity to return, reason for return, whether they prefer a refund / replacement / exchange, condition of the item, whether they still have the original packaging, and their preferred drop-off method. If a refund is preferred, make sure to confirm the correct method of repayment (e.g., return to credit card XXXX).\n\n## Find the order and check eligibility\n\n- Open Your Orders and locate the order. If the item description is vague, confirm the exact order with the user before acting.\n- Check the return window and note the exact deadline. If it has passed, check for extended holiday returns, a manufacturer warranty, or \"Item didn't arrive / was damaged\" paths, and tell the user which options are available.\n- Note whether the item is sold by Amazon or a third-party seller. Third-party returns may run through seller messaging with their own policy and slower approval.\n- Flag if it is a non-returnable item, there is a restocking fee, there are hazardous-material restrictions, there are opened-software / grocery / final-sale rules, and items returnable only as a replacement.\n- Check whether return shipping is free and which drop-off options are free versus paid (e.g., UPS Store, Whole Foods, Kohl's, Amazon Fresh / locker, or a printed label pickup).\n- Note whether the refund is instant, on receipt at the warehouse, or after seller inspection, and how long each takes.\n\n## Presenting return options\n\n- Give the user all of the options, such as refund to original payment, replacement, or Amazon gift-card balance, with benefits and tradeoffs of each. Confirm refund method with user before proceeding with refund request.\n- Compare drop-off options on cost, distance, whether a box and printed label are needed, and how fast the refund lands.\n- Flag if keeping the item is offered (\"keep it\" refunds) or if the item is low-value enough that Amazon may waive the return.\n- Call out anything that changes the refund amount: partial refunds, missing accessories, opened items, promotional discounts or points that will be reversed.\n\n## Submit the return\n\n- Select the item, quantity, and the return reason the user gave. The reason drives who pays shipping, so confirm it with the user before submitting. Note if the return reason results in less money back to the user.\n- Confirm the refund destination and the drop-off method before finalizing.\n- Require explicit approval before: choosing a paid return-shipping option, accepting a partial refund, exchanging for a different item or variant, or anything that closes out a claim.\n- Do not cancel or alter unrelated orders in the account.\n- If the return does not go through or the item cannot be returned, contact Amazon customer service. Join a live chat with a customer service representative to get the item refunded.\n\n## After submitting the return\n\n- Provide a summary of the item, order number, return reason, refund amount and destination (e.g., credit card), drop-off method and address, label / QR code status, and date the item must be dropped off by.\n- If there are other live returns in cart, note other delivery address for potential consolidation.\n- Let the user know what happens if the drop-off deadline is missed.\n- Set up a scheduled check for the drop-off deadline (i.e., remind the user a day before and 3 hours before the deadline), including all return details\n- Create a panel/widget with return deadline, QR code and instructions / directions to drop off the return as applicable\n- Let the user know once you have confirmation of the return.\n\n## If the user stops responding\n\n- If the user stops responding, create a scheduled task to follow up in an hour asking whether to file the return.\n- If the return window closes within a week, follow up within 30 minutes or sooner as the deadline requires and let the user know how many days are left.\n\nFollow these instructions as your guide. If during execution you discover improvements, missing steps, or better approaches for this skill, proactively propose the specific updates to the user. Use the skill tool's create/edit actions to save improvements.", "resolved_from": null, "success": true}, "status": "completed", "tool_name": "skill"}

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{"dispatch_id": "toolu_01AojzMdbNBq8tdqhqcZP3j9", "elapsed": 0.002463327, "error": "", "result": {"hint": "Tell the user to tap the Sign in button that just appeared. The button is one-shot: after fail or cancel call setup_login again for a new one.", "message": "Sign-in for amazon.com has been handed off to the user to complete out-of-band; nothing further is needed from you right now. Once they finish signing in, browser tasks on amazon.com will start already signed in."}, "status": "completed", "tool_name": "setup_login"}

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{"dispatch_id": "toolu_01FwhpMPmi7HDRYeUfaftMSR", "elapsed": 1.326248795, "error": "", "result": "Delivered (confirmed) as 1 message. Your draft was polished into texting register, so the wording differs from what you wrote; this is exactly what the user sees:\n1) Tap the Amazon sign-in button to get me into your account. Then tell me the reason for the return, whether you want a refund to your original payment or a replacement, and if you still have the original packaging.\nThese are your words now, and this is the whole reply: the delivery layer chose its density and shape by design. Never dispute, re-explain, or apologize for the phrasing, and never send a supplement to restore detail it left out. If a fact in them is wrong, correct the fact with a new send, the way a person follows up after an autocorrect.\n\nYour turn continues.\nanswers: none", "status": "completed", "tool_name": "send_message"}

Tap the Amazon sign-in button to get me into your account. Then tell me the reason for the return, whether you want a refund to your original payment or a replacement, and if you still have the original packaging.

Return my USB cord to Amazon

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{"dispatch_id": "toolu_015dHBBVkDunZLGVg5G5iT9Z", "elapsed": 0.004906882, "error": "", "result": {"address": "_system/returning-amazon", "content": "# Returning an Amazon order\n\nHow to handle a request to return an item bought on Amazon.\n\n## Before spinning up browser\n\n- Ask user to log into Amazon account.\n- In two sentences or less, ask the user for all information needed to make the return, including which item description, order date, quantity to return, reason for return, whether they prefer a refund / replacement / exchange, condition of the item, whether they still have the original packaging, and their preferred drop-off method. If a refund is preferred, make sure to confirm the correct method of repayment (e.g., return to credit card XXXX).\n\n## Find the order and check eligibility\n\n- Open Your Orders and locate the order. If the item description is vague, confirm the exact order with the user before acting.\n- Check the return window and note the exact deadline. If it has passed, check for extended holiday returns, a manufacturer warranty, or \"Item didn't arrive / was damaged\" paths, and tell the user which options are available.\n- Note whether the item is sold by Amazon or a third-party seller. Third-party returns may run through seller messaging with their own policy and slower approval.\n- Flag if it is a non-returnable item, there is a restocking fee, there are hazardous-material restrictions, there are opened-software / grocery / final-sale rules, and items returnable only as a replacement.\n- Check whether return shipping is free and which drop-off options are free versus paid (e.g., UPS Store, Whole Foods, Kohl's, Amazon Fresh / locker, or a printed label pickup).\n- Note whether the refund is instant, on receipt at the warehouse, or after seller inspection, and how long each takes.\n\n## Presenting return options\n\n- Give the user all of the options, such as refund to original payment, replacement, or Amazon gift-card balance, with benefits and tradeoffs of each. Confirm refund method with user before proceeding with refund request.\n- Compare drop-off options on cost, distance, whether a box and printed label are needed, and how fast the refund lands.\n- Flag if keeping the item is offered (\"keep it\" refunds) or if the item is low-value enough that Amazon may waive the return.\n- Call out anything that changes the refund amount: partial refunds, missing accessories, opened items, promotional discounts or points that will be reversed.\n\n## Submit the return\n\n- Select the item, quantity, and the return reason the user gave. The reason drives who pays shipping, so confirm it with the user before submitting. Note if the return reason results in less money back to the user.\n- Confirm the refund destination and the drop-off method before finalizing.\n- Require explicit approval before: choosing a paid return-shipping option, accepting a partial refund, exchanging for a different item or variant, or anything that closes out a claim.\n- Do not cancel or alter unrelated orders in the account.\n- If the return does not go through or the item cannot be returned, contact Amazon customer service. Join a live chat with a customer service representative to get the item refunded.\n\n## After submitting the return\n\n- Provide a summary of the item, order number, return reason, refund amount and destination (e.g., credit card), drop-off method and address, label / QR code status, and date the item must be dropped off by.\n- If there are other live returns in cart, note other delivery address for potential consolidation.\n- Let the user know what happens if the drop-off deadline is missed.\n- Set up a scheduled check for the drop-off deadline (i.e., remind the user a day before and 3 hours before the deadline), including all return details\n- Create a panel/widget with return deadline, QR code and instructions / directions to drop off the return as applicable\n- Let the user know once you have confirmation of the return.\n\n## If the user stops responding\n\n- If the user stops responding, create a scheduled task to follow up in an hour asking whether to file the return.\n- If the return window closes within a week, follow up within 30 minutes or sooner as the deadline requires and let the user know how many days are left.\n\nFollow these instructions as your guide. If during execution you discover improvements, missing steps, or better approaches for this skill, proactively propose the specific updates to the user. Use the skill tool's create/edit actions to save improvements.", "resolved_from": null, "success": true}, "status": "completed", "tool_name": "skill"}

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{"dispatch_id": "toolu_014ZiAqCgFqhF3iwy3D5Jy1R", "elapsed": 1.705059772, "error": "", "result": "Delivered (confirmed) as 1 message. Your draft was polished into texting register, so the wording differs from what you wrote; this is exactly what the user sees:\n1) Tap the Amazon sign-in button that just appeared so I can open your orders. Then tell me which USB cord it is and roughly when you ordered it, your return reason, and whether you want a refund to the original card, a replacement, or gift-card balance.\nThese are your words now, and this is the whole reply: the delivery layer chose its density and shape by design. Never dispute, re-explain, or apologize for the phrasing, and never send a supplement to restore detail it left out. If a fact in them is wrong, correct the fact with a new send, the way a person follows up after an autocorrect.\n\nYour turn continues.\nanswers: fd3f5087-5bdb-44a7-9344-80b53349f36e", "status": "completed", "tool_name": "send_message"}

Tap the Amazon sign-in button that just appeared so I can open your orders. Then tell me which USB cord it is and roughly when you ordered it, your return reason, and whether you want a refund to the original card, a replacement, or gift-card balance.