launch25/order_food/skill_adherence-1

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    "action": "search",
    "query": "food delivery preferences address restaurant orders"
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      {
        "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. The presentation covered strong revenue and Data Center growth, the $108 billion Q3 outlook, and the decline in operating cash flow linked to rising receivables.",
        "timestamp": "2026-09-04 5:30 PM PDT (UTC-07:00)"
      },
      {
        "citation": "seg://a1a673a7",
        "score": 0.2785,
        "snippet": "On September 4, 2026, the user asked Hark to return a USB cord to Amazon. Hark initiated Amazon sign-in, and Amazon sign-in was handed off to the user for completion. Hark also asked the user to specify the return reason—defective, wrong item, or no longer needed—but no return was completed. Later on September 4, 2026, the user asked Hark to summarize a New York Times article about John Galliano’s canceled Met Gala exhibition. 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)"
      }
    ]
  },
  "error": "",
  "elapsed": 0.145992993
}

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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.",
    "resolved_from": null,
    "success": true
  },
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    "command": "for q in doordash ubereats grubhub caviar postmates seamless; do echo \"== $q\"; curl -s \"https://gmail.googleapis.com/gmail/v1/users/me/messages?q=%5BREDACTED%5D&maxResults=%5BREDACTED%5D\" | head -c 400; echo; done",
    "credentials": "[REDACTED]"
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        "command": "for q in doordash ubereats grubhub caviar postmates seamless; do echo \"== $q\"; curl -s \"https://gmai...",
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    "updatedAt": 1788577086861
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  "result": "== doordash\n{\n  \"resultSizeEstimate\": 0\n}\n\n== ubereats\n{\n  \"resultSizeEstimate\": 0\n}\n\n== grubhub\n{\n  \"resultSizeEstimate\": 0\n}\n\n== caviar\n{\n  \"resultSizeEstimate\": 0\n}\n\n== postmates\n{\n  \"resultSizeEstimate\": 0\n}\n\n== seamless\n{\n  \"resultSizeEstimate\": 0\n}\n\n",
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{
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    "message": "Two things and I'll get it going: what's the delivery address, and do you have a delivery app you use (DoorDash, Uber Eats, Grubhub)? I don't see one in your email.\n\nHeads up: most Thai places won't have fries, so I may need a second order for those."
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{
  "tool_name": "send_message",
  "dispatch_id": "toolu_01DFrvLAeCdSSPwvcPaHQmuW",
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  "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) What’s the delivery address, and which app do you use, DoorDash, Uber Eats, or Grubhub? I don’t see one in your email.\n2) Most Thai places won’t have fries, so those may need a separate order.\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: 1da10d50-428b-41ec-bb92-638cb606616b",
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