launch25/order_food/skill_adherence-3

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      {
        "citation": "seg://a14364fc",
        "score": 1,
        "snippet": "On September 4, 2026, the user asked Hark to book a New York hotel for the following weekend. Hark resolved the dates to September 12–13, 2026, clarified whether the stay should begin Friday, September 11, or Saturday, September 12, and requested the number of guests, nightly budget, and preferred area; no hotel was selected or booked. Later on September 4, 2026, the user asked Hark to order gluten-free chicken pad thai, green curry with tofu, and French fries. Hark requested the delivery address and preferred platform among DoorDash, Uber Eats, and Grubhub; no restaurant or platform was chosen and no food order was placed.",
        "source": "episode",
        "subject": "Hotel Booking and Thai Food Order Requests",
        "summary": "The user began a New York hotel search and a Thai food delivery request on September 4, 2026, but both remained pending clarification. No booking or order was completed.",
        "timestamp": "2026-09-04 5:27 PM PDT (UTC-07:00)"
      },
      {
        "citation": "seg://1f3a0aa5",
        "confidence": "high",
        "score": 0.6,
        "segment_id": "1f3a0aa5-db7b-5f53-ab19-d7f76a8084a4",
        "snippet": "The user is planning a one-way nonstop flight from SFO (San Francisco) to JFK (New York) on December 17, 2026, and wants the cheapest available option.",
        "source": "fact",
        "timestamp": "2026-09-04 10:04 AM PDT (UTC-07:00)"
      },
      {
        "citation": "seg://835736e5",
        "score": 0.3056,
        "snippet": "On September 4, 2026, the user asked the assistant to return a USB cord to Amazon. The assistant opened Amazon’s orders page, but Amazon redirected to the sign-in page and no saved Amazon login was available, so the assistant could not identify the order or start the return. The assistant handed off Amazon sign-in to the user through setup_login and instructed the user to tap the one-time Sign in button; no return was completed yet.",
        "source": "episode",
        "subject": "Amazon USB Cord Return Blocked by Sign-In",
        "summary": "The Amazon return could not proceed because Amazon required authentication. The user was asked to complete sign-in so the assistant could resume the return.",
        "timestamp": "2026-09-04 10:18 AM PDT (UTC-07:00)"
      },
      {
        "citation": "seg://e4634264",
        "score": 0.211,
        "snippet": "On September 4, 2026, the assistant researched nonstop one-way economy flights from SFO to JFK for one adult on Thursday, December 17, 2026. The cheapest option was American AA 148 for $250, departing at 4:01 PM and arriving at 12:30 AM on December 18; the fare included one carry-on and no checked bag, was not explicitly labeled Basic Economy, and was flagged as often delayed. Other lowest-priced options were JetBlue B6 16 at $261, Alaska AS 32 at $293, American AA 166 at $364, and Delta DL 363 at $364; nothing was booked. The assistant then found six official Levi’s Stadium events for October and November 2026: Broncos–49ers on October 4, Bruno Mars on October 10 and 11, Commanders–49ers on October 19, Raiders–49ers on November 8, and Seahawks–49ers on November 29. Later, the user asked the assistant to turn NVIDIA’s Q2 FY2027 report into a slide deck. The assistant reviewed the deck-building requirements, searched for NVIDIA’s official results, and retrieved the August 26, 2026 report showing $96.2 billion revenue, $89.0 billion Data Center revenue, 75.0% gross margin, $2.22 non-GAAP diluted EPS, and Q3 revenue guidance of $108.0 billion; no completed deck was delivered in the recorded exchange.",
        "source": "episode",
        "subject": "Flight research, Levi’s Stadium events, and NVIDIA Q2 FY2027 deck",
        "summary": "The assistant completed flight research and an official Levi’s Stadium event lookup, with no purchase or booking made. The assistant began preparing an NVIDIA Q2 FY2027 slide deck after retrieving the official report and key financial figures, but the deck was not completed in the recorded conversation.",
        "timestamp": "2026-09-04 10:09 AM PDT (UTC-07:00)"
      },
      {
        "citation": "seg://35c8a392",
        "score": 0.1794,
        "snippet": "On September 4, 2026, the user asked Hark to book a New York hotel for September 11–13, 2026. Hark initiated a Google Hotels search for central Manhattan properties and did not book a hotel. The user also asked Hark to turn NVIDIA’s Q2 FY2027 report into a slide deck. Hark completed and delivered a 14-slide board-style PowerPoint using a dark Meridian palette, with sourced speaker notes, covering $96.2 billion revenue, 106% year-over-year growth, 75.0% gross margin, $89.0 billion in Data Center revenue, and Q3 guidance of $108 billion with no China Data Center revenue assumed; the deck also highlighted declining cash conversion and $21.3 billion in free cash flow versus $48.6 billion in Q1.",
        "source": "episode",
        "subject": "New York Hotel Search and NVIDIA Q2 FY2027 Deck",
        "summary": "The New York hotel request remained unbooked while Hark researched options for September 11–13, 2026. Hark completed and delivered a validated NVIDIA Q2 FY2027 board deck emphasizing exceptional growth, Data Center concentration, weaker cash conversion, and Q3 guidance.",
        "timestamp": "2026-09-04 7:49 PM PDT (UTC-07:00)"
      }
    ]
  },
  "error": "",
  "elapsed": 0.137767826
}

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{
  "tool_name": "skill",
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    "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. Otherwise, search for DoorDash, Uber Eats, Uber, Grubhub, Caviar, Toast Takeout, Postmates, Seamless, Slice, weee, EZCater, Waitr / ASAP, Just Eat Takeaway.com, Deliveroo, Wolt, Glovo, foodpanda, Yemeksepeti, talabat, Careem, Meituan, Ele.me, Swiggy, Zomato, Grab, GoFood, Demae-can, Baemin, Chowbus, Fantuan, Hungry Panda, and Coupang Eats or any other food delivery service found in the user's email that’s connected. If the user connected more than 1 email, search through all of them. If one is there, suggest it, pulling its setup_login. If several are there, pull the most used setup_login. (Note: Uber Eats uses Uber cua login.) If none are, suggest options.\n- If it’s a food item at a specific restaurant for delivery (e.g. I want this [food] at a specific restaurant), do a web search to find out what delivery partners they use. If one of the delivery partners is used by the user then suggest that one. If not, suggest the website partner used by the restaurant and ask the user which they want to order from\n- If a user suggests a restaurant, double check that the delivery platform can deliver to their address from that restaurant (this will need to be done in browser)\n- Ask the user to log in by default unless the user specifies they don’t want to.\n- if the users asks you to order at a particular restaurant, web_search that it’s open before launching browser, and let the user know if closed\n- After user chooses platform, save that platform to memory for future suggestions.\n- When planning the order for user and researching in browser, analyze each different restaurant menu in parallel and researching history in parallel.\n\n## Before starting checkout\n\n- Note every constraint in the request (dietary/allergy, specific dish, side items like\n  fries) and verify **all** of them are available at a candidate restaurant before starting\n  checkout there, not partway through. 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.",
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    "success": true
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  "tool_name": "shell",
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    "command": "for q in \"doordash\" \"uber eats\" \"grubhub\" \"caviar\" \"postmates\"; do echo \"=== $q\"; curl -s -G \"https://gmail.googleapis.com/gmail/v1/users/me/messages\" --data-urlencode \"q=$q\" --data-urlencode \"maxResults=3\" | jq -r '.resultSizeEstimate'; done",
    "credentials": "[REDACTED]"
  },
  "dispatch_id": "toolu_01QFKScb8AVukKMzNEBQUVZn",
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  "panel_kind": "shell"
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      "metadata": {
        "browser_chain": false,
        "command": "for q in \"doordash\" \"uber eats\" \"grubhub\" \"caviar\" \"postmates\"; do echo \"=== $q\"; curl -s -G \"https:...",
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    "status": "running",
    "updatedAt": 1788577093830
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{
  "tool_name": "shell",
  "dispatch_id": "toolu_01QFKScb8AVukKMzNEBQUVZn",
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  "result": "=== doordash\n0\n=== uber eats\n0\n=== grubhub\n0\n=== caviar\n0\n=== postmates\n0\n",
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{
  "tool_name": "send_message",
  "tool_input": {
    "final": true,
    "message": "Where should it go, and which platform do you want? I don't see any delivery accounts in your email, so DoorDash or Uber Eats are the easiest bets."
  },
  "dispatch_id": "toolu_01BoamyshKWVJgqtptW2sjAv",
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{
  "tool_name": "send_message",
  "dispatch_id": "toolu_01BoamyshKWVJgqtptW2sjAv",
  "status": "completed",
  "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) Where should it go, and which platform do you want? I don’t see any delivery accounts in your email, so DoorDash or Uber Eats are the easiest bets.\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: ac7696da-ef86-4655-99be-c044f4fe5d45",
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}