Daily picks

Editor-selected existing cases and prompts, separate from AI news. Selection dates use Hong Kong time.

Daily picks · 2026-11-10

Five original adaptations use fictional fixtures and human acceptance checks for weekly reports, travel intake, game state, robot stop reasons and community summaries. These are not five newly discovered real-world cases, and prompts are untested. Each card includes its environment, limitations and original-case link.

Weekly-report exercise: was the completed change later reverted?

Build a claim-to-event ledger from fictional development records, checking reversals, drafts and work still in progress.

Prompt

Using [event list, reporting window and timezone, audience, word limit], draft a report in [language/format]. First map each claim to event IDs, cutoff status, contrary evidence and unknowns. Apply reversals and reopenings chronologically. Do not equate merging with deployment, describe drafts as finished, or invent impact. Mark gaps for review; do not connect accounts or publish.

Fictional fixture, not a real usage record: E1: Monday, PR41 merged an export feature. E2: Tuesday, issue52 marked in progress. E3: Wednesday, commitC9 fully reverted PR41. E4: Thursday, PR77 is an unmerged documentation draft. Cutoff is Friday; no deployment or user-impact evidence is supplied.

Evidence limits and cautions

The author describes GitHub collection, Gemini narration, Notion and a DEV.to draft. A draft is not a public article; no efficiency or reliability has been independently established. Source publication: exact date unverified; checked: 2026-11-10. The original source provides inspiration, not validation of this exercise. Its toolchain, regional services and plans have not been reproduced. This card uses only the documented Gemini web text environment.

Original editorial adaptation, not a newly discovered use case or the source author’s verbatim workflow. Source-reported outcomes do not guarantee this exercise. Prompts were not tested. Adapted from this existing case: https://hkfrees.com/ai/case/reported-github-narrative-attribution/?lang=en Adds a known-answer reversal fixture and a cutoff-state ledger, rather than merely rewriting activity as a post. Open this card’s title for the official environment-source links and human acceptance steps on its full case page.

  • Platform and region: ordinary Gemini web text chat. Official lists include Hong Kong, Macau, Taiwan, Chinese variants and English. Documentation checked 2026-11-10; local connections were not tested.
  • Plan and account: prefer an adult personal account. Standard free access is a starting point, with variable usage caps and no required subscription. Taiwan advertises NT$0/month free access; Hong Kong/Macau paid prices are unverified. No particular model or prompt count is guaranteed. Work, school and child accounts need separate checks.
  • No original toolchain is connected. Web availability does not establish mobile, API, CLI or original-automation access. Never supply confidential data. Activity-off chats can still remain for 72 hours and receive safety review.
  • Do not supply private repositories, unreleased plans, keys or colleagues’ personal data.

Original source: Turning Weekly GitHub Activity Into Blog Posts on Notion + DEV.to

Travel-intake exercise: expose conflicting times and budgets

Turn a fictional transcript into traceable requirements, preserving corrections and unresolved conflicts before asking focused questions.

Prompt

Using [numbered transcript, timezones, explicit retractions, output language], create a requirements ledger with source ID, condition, hard/soft status, latest state, conflict and question. Supersede an old condition only when correction is explicit; do not fill unknowns. Prioritize blocking conflicts and the smallest clarifying questions. Do not search live prices, recommend unverified itineraries or book.

Fictional fixture, not a real usage record: T1: Depart Hong Kong only after 18:00 on 2026-11-20. T2: Arrive in Taipei before 17:00 that day; both timezones are UTC+8. T3: Stay three nights and return November 23. T4: Later change the return to November 22 without changing the stated nights. T5: Two adults, HKD2400 budget, unspecified per-person or total. No flights, hotel rates or inventory are supplied.

Evidence limits and cautions

This creator template on n8n describes text/voice and search integrations. Detailed steps support recommendations, not completed bookings. This card requires no template purchase, transcription or live fares. Source publication: exact date unverified; checked: 2026-11-10. The original source provides inspiration, not validation of this exercise. Its toolchain, regional services and plans have not been reproduced. This card uses only the documented Gemini web text environment.

Original editorial adaptation, not a newly discovered use case or the source author’s verbatim workflow. Source-reported outcomes do not guarantee this exercise. Prompts were not tested. Adapted from this existing case: https://hkfrees.com/ai/case/reported-voice-trip-intake/?lang=en Adds utterance-level provenance, explicit-retraction handling and a conflict fixture with checkable expected findings. Open this card’s title for the official environment-source links and human acceptance steps on its full case page.

  • Platform and region: ordinary Gemini web text chat. Official lists include Hong Kong, Macau, Taiwan, Chinese variants and English. Documentation checked 2026-11-10; local connections were not tested.
  • Plan and account: prefer an adult personal account. Standard free access is a starting point, with variable usage caps and no required subscription. Taiwan advertises NT$0/month free access; Hong Kong/Macau paid prices are unverified. No particular model or prompt count is guaranteed. Work, school and child accounts need separate checks.
  • No original toolchain is connected. Web availability does not establish mobile, API, CLI or original-automation access. Never supply confidential data. Activity-off chats can still remain for 72 hours and receive safety review.
  • Use fictional adults only, without passports, contacts or minors’ data. This is not a visa, bookability or transport-feasibility assessment.

Original source: Travel AI agent - AI-powered travel planner

Game-state exercise: a lost reply must not spend the key twice

Audit fictional turns for retries, accepted events and stale checkpoints, producing a state table without connecting to a game.

Prompt

Using [fictional checkpoint, authoritative receipts, retry-ID rules, pending text commands], audit state on paper in [language/format]. Separate accepted, uncertain, duplicate and ambiguous events with evidence for each state. Do not reapply the same event ID or infer non-execution from a missing reply. Flag stale-checkpoint conflicts without deleting records. Clarify ambiguous commands. Output text only; do not operate a server or write saves.

Fictional fixture, not a real usage record: Checkpoint S12: player A at the bridge, HP=8, inventory=[key], last event E12. Authoritative receipt R13 says E13, use the key to open the gate, was accepted: player at garden, HP=8, inventory=[]. The displayed reply was lost and the same E13 ID is retried. E14 says go back but specifies no destination.

Evidence limits and cautions

This creator template on n8n describes voice, external memory and state updates, without independent verification of persistence or rule compliance. Ordinary text chat does not inherit those voice or memory integrations. Source publication: exact date unverified; checked: 2026-11-10. The original source provides inspiration, not validation of this exercise. Its toolchain, regional services and plans have not been reproduced. This card uses only the documented Gemini web text environment.

Original editorial adaptation, not a newly discovered use case or the source author’s verbatim workflow. Source-reported outcomes do not guarantee this exercise. Prompts were not tested. Adapted from this existing case: https://hkfrees.com/ai/case/reported-voice-rpg-state/?lang=en Adds a lost-response/duplicate-event fixture, separating narration, confirmed state and commands awaiting clarification. Open this card’s title for the official environment-source links and human acceptance steps on its full case page.

  • Platform and region: ordinary Gemini web text chat. Official lists include Hong Kong, Macau, Taiwan, Chinese variants and English. Documentation checked 2026-11-10; local connections were not tested.
  • Plan and account: prefer an adult personal account. Standard free access is a starting point, with variable usage caps and no required subscription. Taiwan advertises NT$0/month free access; Hong Kong/Macau paid prices are unverified. No particular model or prompt count is guaranteed. Work, school and child accounts need separate checks.
  • No original toolchain is connected. Web availability does not establish mobile, API, CLI or original-automation access. Never supply confidential data. Activity-off chats can still remain for 72 hours and receive safety review.
  • Do not supply Telegram credentials, player data or real server logs. A prompt cannot guarantee game-state consistency.

Original source: Play RPG with Groq Dungeon Master via Telegram voice messages

Robot-concept exercise: stale observations and unknown units require a stop

Create a stop-reason table from fictional observations, checking for stale state, unknown positions and missing units.

Prompt

Using [simulated observations, freshness threshold, units and coordinate frames, fictional task], write a stop-reason table in [language/format]: check, evidence, missing/conflicting information and question for a human. Calculate supplied time differences, but never fill unknown units, frames, references or safety information. A complete text checklist is not proof of safe operation. Do not output motor values, trajectories, API calls or executable control commands.

Fictional fixture, not a real usage record: Current time 12:00:30; observation O1 timestamp 12:00:00; maximum allowed observation age 2 seconds. Target X=10 has no unit or coordinate frame. Object label cup has no confidence value. Workspace boundaries and collision information are unknown. The text request says move it over there.

Evidence limits and cautions

Google’s vendor demonstrations use image/video inputs and RobotAPI, not independent safety validation. This text exercise establishes neither visual perception, calibration nor safe physical operation. Source publication: 2025-06-24; checked: 2026-11-10. The original source provides inspiration, not validation of this exercise. Its toolchain, regional services and plans have not been reproduced. This card uses only the documented Gemini web text environment.

Original editorial adaptation, not a newly discovered use case or the source author’s verbatim workflow. Source-reported outcomes do not guarantee this exercise. Prompts were not tested. Adapted from this existing case: https://hkfrees.com/ai/case/reported-robot-api-contract/?lang=en Adds a hand-checkable stale-observation counterexample and explicit missing-field acceptance criteria. Open this card’s title for the official environment-source links and human acceptance steps on its full case page.

  • Platform and region: ordinary Gemini web text chat. Official lists include Hong Kong, Macau, Taiwan, Chinese variants and English. Documentation checked 2026-11-10; local connections were not tested.
  • Plan and account: prefer an adult personal account. Standard free access is a starting point, with variable usage caps and no required subscription. Taiwan advertises NT$0/month free access; Hong Kong/Macau paid prices are unverified. No particular model or prompt count is guaranteed. Work, school and child accounts need separate checks.
  • No original toolchain is connected. Web availability does not establish mobile, API, CLI or original-automation access. Never supply confidential data. Activity-off chats can still remain for 72 hours and receive safety review.
  • Paper concept exercise only, with no hardware or simulator connection. Do not use it for industrial, medical or other safety-critical control.

Original source: Gemini 2.5 for robotics and embodied intelligence

Community-summary exercise: six posts are not six independent opinions

Separate post counts from author counts in fictional comments, preserving counterexamples and later resolutions instead of generalizing from a small sample.

Prompt

Using only [authorized or fictional comments, message IDs, anonymous author IDs, sampling method and period], write a theme-evidence table in [language/format]. Separate supporting posts, unique authors, counterexamples, later corrections and unknowns. Repeated authors are not new independent opinions. Preserve resolved versus unresolved events. Without a sampling design and population denominator, do not estimate population rates or trends. Do not scrape sites or identify people.

Fictional fixture, not a real usage record: M1/author A: the tea-list app is too expensive. M2/B: I also find the price high. M3/A: repeats that the price is too high. M4/C: the current price is acceptable. M5/D: sync failed. M6/D: update, sync worked after restarting. Six posts from four fictional authors, manually selected, with no total-user denominator.

Evidence limits and cautions

The author’s challenge project describes scheduled collection, snapshot polling and Gemini analysis. “Real-time” is not a continuous-monitoring guarantee; representativeness and accuracy are unverified. This card neither scrapes Reddit nor creates a Notion report. Source publication: 2025-08-30; checked: 2026-11-10. Source update: 2025-08-31. The original source provides inspiration, not validation of this exercise. Its toolchain, regional services and plans have not been reproduced. This card uses only the documented Gemini web text environment.

Original editorial adaptation, not a newly discovered use case or the source author’s verbatim workflow. Source-reported outcomes do not guarantee this exercise. Prompts were not tested. Adapted from this existing case: https://hkfrees.com/ai/case/reported-community-themes/?lang=en Adds a fixed sample, distinct post/author counts and resolution checks so summary bias can be identified explicitly. Open this card’s title for the official environment-source links and human acceptance steps on its full case page.

  • Platform and region: ordinary Gemini web text chat. Official lists include Hong Kong, Macau, Taiwan, Chinese variants and English. Documentation checked 2026-11-10; local connections were not tested.
  • Plan and account: prefer an adult personal account. Standard free access is a starting point, with variable usage caps and no required subscription. Taiwan advertises NT$0/month free access; Hong Kong/Macau paid prices are unverified. No particular model or prompt count is guaranteed. Work, school and child accounts need separate checks.
  • No original toolchain is connected. Web availability does not establish mobile, API, CLI or original-automation access. Never supply confidential data. Activity-off chats can still remain for 72 hours and receive safety review.
  • All sample authors are fictional. Real inputs require authorization and de-identification; do not infer health, political views or other sensitive traits.

Original source: Unstoppable Reddit Research Agent! – Real-Time Insights with n8n + Bright Data