The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
Job has been terminated due to a temporary spike in resource usage and may be restarted later.
Error code:   JobManagerCrashedError

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

name
string
instruction
string
description
string
keywords
list
schema_version
string
config
unknown
metadata
unknown
files
list
location
string
wildawm/08951d-d11-h1
For Thursday 11 Jun (my evening is free — no teaching), I want to skip the "leftovers / tortilla" in my exam-week plan (`Documents/personal/exam-week-meal-plan-2026-06-08.md`) and cook a fresh Mediterranean fish dinner instead, added to my Allrecipes meal plan for Thursday dinner. I'd like you to write and run a script...
Mediterranean Grilled Sea Bass meal-plan save on Allrecipes
[ "wildawm", "xai", "hard", "allrecipes", "calendar", "direct_messages", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/08951d-d11-h1", "version": "1.0.0", "description": "Mediterranean Grilled Sea Bass meal-plan save on Allrecipes", "keywords": [ "wildawm", "xai", "hard", "allrecipes", "calendar", "direct_messages", "cli"...
{ "difficulty": "hard", "persona": "08951d-elena-vasquez", "day": 11, "sites": [ "allrecipes" ], "mcp_domains": [ "calendar", "direct_messages" ], "starting_interface": "cli", "hops": 4, "archetype": "recipe_rank_visual_save", "area": "meal-planning", "interface_flow": "cli: read exa...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/08951d-d11-h1
wildawm/08951d-d11-h2
Exam week is rough — I run back-to-back exam-prep sessions most evenings (mock speaking tests, rubric building, extra student practice), and my exam-week meal plan in Documents/personal/exam-week-meal-plan-2026-06-08.md pins quick dinners to each teaching night, including a 13-minute Mediterranean fish on the night I n...
Post a verified review for the selected Mediterranean fish after the exam-week cook-log audit and schedule check
[ "wildawm", "xai", "hard", "allrecipes", "calendar", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/08951d-d11-h2", "version": "1.0.0", "description": "Post a verified review for the selected Mediterranean fish after the exam-week cook-log audit and schedule check", "keywords": [ "wildawm", "xai", "hard", "allrecipes", ...
{ "difficulty": "hard", "persona": "08951d-elena-vasquez", "day": 11, "sites": [ "allrecipes" ], "mcp_domains": [ "calendar" ], "starting_interface": "mcp", "hops": 5, "archetype": "cook-log-then-image-grounded-review", "area": "food", "interface_flow": "mcp: read the calendar teaching-e...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/08951d-d11-h2
wildawm/08951d-d15-h1
Hi — quick one for the August Lisbon side-trip with mamá and Sofí. Our Avenida Palace booking (BKN-ELENA01) is free-cancellable until 13 Aug, but mamá and Sofí's MIA-MAD fare (IB2544) is still at $567 vs our $550 target, so I want a backup hotel saved before that window closes. The dates should still be 15-17 Aug (the...
Lisbon fallback hotel save with visual match
[ "wildawm", "xai", "hard", "booking", "calendar", "direct_messages", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/08951d-d15-h1", "version": "1.0.0", "description": "Lisbon fallback hotel save with visual match", "keywords": [ "wildawm", "xai", "hard", "booking", "calendar", "direct_messages", "cli", "mcp", ...
{ "difficulty": "hard", "persona": "08951d-elena-vasquez", "day": 15, "sites": [ "booking" ], "mcp_domains": [ "calendar", "direct_messages" ], "starting_interface": "mcp", "hops": 4, "archetype": "visual_search_save_notify", "area": "personal-travel", "interface_flow": "mcp: read AV...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/08951d-d15-h1
wildawm/08951d-d17-h1
I have a Lisbon hotel booking note in `Documents/personal/lisbon-hotel-booking.md` for an Aug 15-17 side-trip with mamá Carmen and Sofía. The note references Hotel Avenida Palace which I already booked (BKN-ELENA01), but I want to book a different hotel on Avenida da Liberdade instead. I specifically remember its lobby...
Book the Lisbon hotel with the red-rug lobby and add a calendar event
[ "wildawm", "xai", "hard", "booking", "email", "calendar", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/08951d-d17-h1", "version": "1.0.0", "description": "Book the Lisbon hotel with the red-rug lobby and add a calendar event", "keywords": [ "wildawm", "xai", "hard", "booking", "email", "calendar", "cli", ...
{ "difficulty": "hard", "persona": "08951d-elena-vasquez", "day": 17, "sites": [ "booking" ], "mcp_domains": [ "email", "calendar" ], "starting_interface": "cli", "hops": 4, "archetype": "hotel_booking_and_calendar_scheduling", "area": "travel", "interface_flow": "cli: parse the hote...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/08951d-d17-h1
wildawm/08951d-d2-h1
I booked Hotel Avenida Palace for our Lisbon side-trip but want a 5-star backup in Marques de Pombal in case the MIA-MAD fare drops and we switch plans. Please write and run a script using my flights-watch log (Iberia IB2544, target $550, currently $567) and hotel booking note to produce `Documents/Notes/lisbon-backup-...
Lisbon backup hotel save
[ "wildawm", "xai", "hard", "booking", "direct_messages", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/08951d-d2-h1", "version": "1.0.0", "description": "Lisbon backup hotel save", "keywords": [ "wildawm", "xai", "hard", "booking", "direct_messages", "cli", "mcp", "web" ] }, "metadata": { ...
{ "difficulty": "hard", "persona": "08951d-elena-vasquez", "day": 2, "sites": [ "booking" ], "mcp_domains": [ "direct_messages" ], "starting_interface": "mcp", "hops": 5, "archetype": "backup_planning", "area": "travel", "interface_flow": "mcp: read Sofia's DMs to confirm Aug 15-17 dates...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/08951d-d2-h1
wildawm/08951d-d5-h1
I'm preparing for an August family visit to Spain and want to re-order the same Spain travel guide I just bought, but only if my June 2026 budget allows it. My budget file at `Documents/personal/budget-2026.md` has my income, fixed expenses, and discretionary spending for the month — write a script that parses it, comp...
Selected purchase option
[ "wildawm", "xai", "hard", "amazon", "email", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/08951d-d5-h1", "version": "1.0.0", "description": "Selected purchase option", "keywords": [ "wildawm", "xai", "hard", "amazon", "email", "cli", "mcp", "web" ] }, "metadata": { "difficult...
{ "difficulty": "hard", "persona": "08951d-elena-vasquez", "day": 5, "sites": [ "amazon" ], "mcp_domains": [ "email" ], "starting_interface": "cli", "hops": 4, "archetype": "Rank items from local notes and add to Amazon cart", "area": "shopping", "interface_flow": "cli: script extracts d...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/08951d-d5-h1
wildawm/08951d-d8-m1
My exam week is Mon 8 – Thu 11 Jun and I teach late most evenings (17:00–20:15), so I plan quick or prepped dinners. I sketched the week in `Documents/personal/exam-week-meal-plan-2026-06-08.md`, but Thursday is still just "sea-bass leftovers" with no recipe tied to it, and I'd rather re-cook the fastest dish on the on...
Exam-week dinner: rank recipes and add the free-evening cook to the Allrecipes meal plan
[ "wildawm", "xai", "medium", "allrecipes", "calendar", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/08951d-d8-m1", "version": "1.0.0", "description": "Exam-week dinner: rank recipes and add the free-evening cook to the Allrecipes meal plan", "keywords": [ "wildawm", "xai", "medium", "allrecipes", "calendar", ...
{ "difficulty": "medium", "persona": "08951d-elena-vasquez", "day": 8, "sites": [ "allrecipes" ], "mcp_domains": [ "calendar" ], "starting_interface": "cli", "hops": 4, "archetype": "rank-then-act", "area": "cooking", "interface_flow": "cli: parse the meal-plan note into per-day recipe +...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/08951d-d8-m1
wildawm/0bbc00-d0-h2
Margaret Whitfield's Mediterranean Grand Tour starts in Istanbul. I've shortlisted six hotels in `Documents/MeanderTravel/Clients/Margaret_Whitfield/istanbul_hotel_shortlist.md`; her preferences are in `grand_tour_brief.md`. She wants to "wake up to the Bosphorus with a bit of old-city charm, not a business courtyard."...
Istanbul hotel pick for Margaret Whitfield — rank, visually verify water amenity, save, and email
[ "wildawm", "xai", "hard", "booking", "email", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/0bbc00-d0-h2", "version": "1.0.0", "description": "Istanbul hotel pick for Margaret Whitfield — rank, visually verify water amenity, save, and email", "keywords": [ "wildawm", "xai", "hard", "booking", "email", ...
{ "difficulty": "hard", "persona": "0bbc00-yusuf-demir", "day": 0, "sites": [ "booking" ], "mcp_domains": [ "email" ], "starting_interface": "mcp", "hops": 4, "archetype": "research-and-choose", "area": "travel", "interface_flow": "mcp: read the Whitfield email thread for Margaret's exac...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/0bbc00-d0-h2
wildawm/0bbc00-d1-h1
Margaret reviewed the pre-call note and is ready to lock in the Istanbul hotel. She wants to wake up to the Bosphorus and only trusts actual room photos — the booking.com listing text can mislead, with several hotels claiming "sea view" when it's really a Marmara sliver from a high floor. My shortlist at `Documents/Me...
Istanbul Bosphorus-view hotel finalization
[ "wildawm", "xai", "hard", "booking", "email", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/0bbc00-d1-h1", "version": "1.0.0", "description": "Istanbul Bosphorus-view hotel finalization", "keywords": [ "wildawm", "xai", "hard", "booking", "email", "cli", "mcp", "web" ] }, "metadata...
{ "difficulty": "hard", "persona": "0bbc00-yusuf-demir", "day": 1, "sites": [ "booking" ], "mcp_domains": [ "email" ], "starting_interface": "cli", "hops": 4, "archetype": "shortlist_finalize", "area": "travel", "interface_flow": "cli: parse the shortlist and filter to water-view candida...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/0bbc00-d1-h1
wildawm/0bbc00-d4-h2
Zeynep's Lisbon reward trip after quals — write and run a script that ranks the five hotel candidates in `Documents/MeanderTravel/Clients/Zeynep_Lisbon/lisbon_scout_brief.md` and writes the results to `lisbon_ranked.json`. Rank by value-for-money (rating relative to price); each entry should include at least `hotel_nam...
Save the selected travel option for the reward trip after the ranked shortlist and the brief check
[ "wildawm", "xai", "hard", "booking", "email", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/0bbc00-d4-h2", "version": "1.0.0", "description": "Save the selected travel option for the reward trip after the ranked shortlist and the brief check", "keywords": [ "wildawm", "xai", "hard", "booking", "email", ...
{ "difficulty": "hard", "persona": "0bbc00-yusuf-demir", "day": 4, "sites": [ "booking" ], "mcp_domains": [ "email" ], "starting_interface": "mcp", "hops": 4, "archetype": "browser_write_flow", "area": "travel", "interface_flow": "mcp: read Zeynep's Lisbon reward-trip email to confirm he...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/0bbc00-d4-h2
wildawm/16bfe8-d0-h1
Race day is the Austin Half Marathon on 2027-02-21, and I'm locking in my race-day shoes. My training log at Notes/training-log.md lists the four shoes I'm deciding among and says it's coming down to how they look on the product page. I'd like to write a Python script that reads the log, ranks the candidates by fit fo...
Selected race-day purchase option
[ "wildawm", "xai", "hard", "amazon", "calendar", "slack", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/16bfe8-d0-h1", "version": "1.0.0", "description": "Selected race-day purchase option", "keywords": [ "wildawm", "xai", "hard", "amazon", "calendar", "slack", "cli", "mcp", "web" ] }, "...
{ "difficulty": "hard", "persona": "16bfe8-jordan-rivera", "day": 0, "sites": [ "amazon" ], "mcp_domains": [ "calendar", "slack" ], "starting_interface": "cli", "hops": 5, "archetype": "rank-then-buy", "area": "fitness", "interface_flow": "cli: rank the shoe shortlist from Notes/trai...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/16bfe8-d0-h1
wildawm/16bfe8-d10-h1
I'm wrapping the Atlas Design Studio review and want a reading device to test how their client-facing docs render on e-ink. The account note at Documents/work/accounts/atlas-design-studio.md has the full context (health, renewal, the docusaurus/mdBook docs-site ask, and the adoption-dip triage). I need a one-pager to ...
Atlas docs-site review: summarize account note, cart the e-ink reading device, DM Tomás
[ "wildawm", "xai", "hard", "amazon", "direct_messages", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/16bfe8-d10-h1", "version": "1.0.0", "description": "Atlas docs-site review: summarize account note, cart the e-ink reading device, DM Tomás", "keywords": [ "wildawm", "xai", "hard", "amazon", "direct_messages", ...
{ "difficulty": "hard", "persona": "16bfe8-jordan-rivera", "day": 10, "sites": [ "amazon" ], "mcp_domains": [ "direct_messages" ], "starting_interface": "cli", "hops": 4, "archetype": "docs-review-device-order", "area": "work", "interface_flow": "cli: parse the Atlas account note at Docu...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/16bfe8-d10-h1
wildawm/16bfe8-d10-h2
Naomi and I have our Bali honeymoon flights ticketed and the resort reservation locked, but I want a separate beachfront-vibe reference saved on Booking — apart from the booking itself and the existing "Bali Honeymoon Shortlist". My running notes (Documents/personal/honeymoon-bali.md) list the two beachfront base cand...
Bali honeymoon beachfront-vibe reference
[ "wildawm", "xai", "hard", "booking", "direct_messages", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/16bfe8-d10-h2", "version": "1.0.0", "description": "Bali honeymoon beachfront-vibe reference", "keywords": [ "wildawm", "xai", "hard", "booking", "direct_messages", "cli", "mcp", "web" ] }, ...
{ "difficulty": "hard", "persona": "16bfe8-jordan-rivera", "day": 10, "sites": [ "booking" ], "mcp_domains": [ "direct_messages" ], "starting_interface": "cli", "hops": 4, "archetype": "trip-planning", "area": "travel", "interface_flow": "cli: parse honeymoon note into beachfront candida...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/16bfe8-d10-h2
wildawm/16bfe8-d11-m1
It's Saturday morning, Feb 13, and the Austin Half Marathon is one week out (Feb 21). Mon–Fri dinners are already on the Allrecipes meal plan (chicken+quinoa, beef stew, lemon chicken), but tonight's dinner is open. I want a low-carb vegetarian cauliflower-based option that fits the taper — something simple to bake ahe...
Saturday cauliflower dinner for the half-marathon taper
[ "wildawm", "xai", "medium", "allrecipes", "direct_messages", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/16bfe8-d11-m1", "version": "1.0.0", "description": "Saturday cauliflower dinner for the half-marathon taper", "keywords": [ "wildawm", "xai", "medium", "allrecipes", "direct_messages", "cli", "mcp", ...
{ "difficulty": "medium", "persona": "16bfe8-jordan-rivera", "day": 11, "sites": [ "allrecipes" ], "mcp_domains": [ "direct_messages" ], "starting_interface": "cli", "hops": 4, "archetype": "extract a meal-plan gap from a note, verify a recipe image on a cooking site, then save it to the mea...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/16bfe8-d11-m1
wildawm/16bfe8-d13-m1
Naomi and I locked the Bali honeymoon — beachfront base, two days in Ubud, an arrival night, United flights ticketed (PNR J7XK4B). I want to swap one beachfront base night for a more romantic resort. We shortlisted two beachfront candidates but didn't book either; I can add up to $250 to the trip total. I don't trust t...
Bali honeymoon splurge night — confirm the room, save it, tell Naomi
[ "wildawm", "xai", "hard", "booking", "email", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/16bfe8-d13-m1", "version": "1.0.0", "description": "Bali honeymoon splurge night — confirm the room, save it, tell Naomi", "keywords": [ "wildawm", "xai", "hard", "booking", "email", "cli", "mcp", "...
{ "difficulty": "hard", "persona": "16bfe8-jordan-rivera", "day": 13, "sites": [ "booking" ], "mcp_domains": [ "email" ], "starting_interface": "cli", "hops": 4, "archetype": "research-decide-notify", "area": "personal-travel", "interface_flow": "cli: parse Documents/personal/honeymoon-b...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/16bfe8-d13-m1
wildawm/16bfe8-d15-h2
Naomi and I want a pre-wedding beach weekend — one night at a Bali beachfront resort from our honeymoon shortlist, before the May wedding gets crazy. The running notes in `Documents/personal/honeymoon-bali.md` list three beachfront candidates with nightly rates and ratings, plus Ubud jungle options and an airport fallb...
Pre-Wedding Bali Beach Weekend Booking
[ "wildawm", "xai", "hard", "booking", "direct_messages", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/16bfe8-d15-h2", "version": "1.0.0", "description": "Pre-Wedding Bali Beach Weekend Booking", "keywords": [ "wildawm", "xai", "hard", "booking", "direct_messages", "cli", "mcp", "web" ] }, "m...
{ "difficulty": "hard", "persona": "16bfe8-jordan-rivera", "day": 15, "sites": [ "booking" ], "mcp_domains": [ "direct_messages" ], "starting_interface": "cli", "hops": 5, "archetype": "travel-booking", "area": "travel", "interface_flow": "cli: parse honeymoon notes and rank beachfront c...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/16bfe8-d15-h2
wildawm/16bfe8-d15-m1
Jordan here. Five days out from the Austin Half Marathon (Feb 21) and deep in the taper — the carb-load pasta is set for Friday's pre-race dinner. I want a low-carb Thursday dinner in the meal plan, the night before the carb-load begins. Write and run a script that parses my training log at `Notes/training-log.md` (it ...
Race-Week Low-Carb Recipe Match
[ "wildawm", "xai", "hard", "allrecipes", "direct_messages", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/16bfe8-d15-m1", "version": "1.0.0", "description": "Race-Week Low-Carb Recipe Match", "keywords": [ "wildawm", "xai", "hard", "allrecipes", "direct_messages", "cli", "mcp", "web" ] }, "metad...
{ "difficulty": "hard", "persona": "16bfe8-jordan-rivera", "day": 15, "sites": [ "allrecipes" ], "mcp_domains": [ "direct_messages" ], "starting_interface": "cli", "hops": 4, "archetype": "recipe_visual_match_meal_plan", "area": "cooking", "interface_flow": "cli: parse training log and r...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/16bfe8-d15-m1
wildawm/16bfe8-d21-h1
I'm heading into a heavy travel stretch — the Bali honeymoon flights are locked (DFW→DPS, 05-25 to 06-02) and QBRs are booked for Lumen and Hawthorne. I read account docs constantly for work and want a dedicated device for reading on the long flights and evenings, something easier on the eyes than my laptop screen. Wri...
Amazon Kindle Paperwhite shortlist
[ "wildawm", "xai", "hard", "amazon", "direct_messages", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/16bfe8-d21-h1", "version": "1.0.0", "description": "Amazon Kindle Paperwhite shortlist", "keywords": [ "wildawm", "xai", "hard", "amazon", "direct_messages", "cli", "mcp", "web" ] }, "metada...
{ "difficulty": "hard", "persona": "16bfe8-jordan-rivera", "day": 21, "sites": [ "amazon" ], "mcp_domains": [ "direct_messages" ], "starting_interface": "mcp", "hops": 4, "archetype": "Evaluate and purchase a device based on visual evidence", "area": "shopping", "interface_flow": "mcp: r...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/16bfe8-d21-h1
wildawm/16bfe8-d29-h1
The Austin Half is behind me (02-21; today is 2027-03-03) and the recovery week is closed. The Personal calendar shows no new structured training block after recovery — the TU/TH/SA and Sunday run series both expired 02-28 — so the open question from my kit notes is the daily-wear smartwatch for post-race life; the Gar...
Coordinate the selected personal technology option after the post-recovery ranked shortlist and schedule check
[ "wildawm", "xai", "hard", "apple", "calendar", "direct_messages", "cli", "mcp", "web" ]
1.4
{ "schema_version": "1.4", "task": { "name": "wildawm/16bfe8-d29-h1", "version": "1.0.0", "description": "Coordinate the selected personal technology option after the post-recovery ranked shortlist and schedule check", "keywords": [ "wildawm", "xai", "hard", "apple", "c...
{ "difficulty": "hard", "persona": "16bfe8-jordan-rivera", "day": 29, "sites": [ "apple" ], "mcp_domains": [ "calendar", "direct_messages" ], "starting_interface": "mcp", "hops": 4, "archetype": "post-recovery-gear-rank-then-image-grounded-cart", "area": "fitness", "interface_flow": ...
[ "environment/Dockerfile", "environment/runtime/agent-config/describe_image_mcp.py", "environment/runtime/agent-config/mcp_call.py", "environment/runtime/check_playwright_mcp.py", "environment/runtime/entrypoint.sh", "environment/runtime/healthcheck.sh", "environment/runtime/playwright-node/node-v22.23.2...
dataset/train-rl-208-set/16bfe8-d29-h1
End of preview.