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.

Execution environment and usage

AI / software

Gemini

Where to operate

Ordinary text chat in the Gemini consumer web app at gemini.google.com. This card uses manually supplied text only.

Getting started

  1. Prefer an adult personal Google account and check regional/account eligibility first. Do not buy a plan for this exercise.
  2. Paste the fictional fixture into ordinary chat, or substitute authorized de-identified short text. Connect no external services.
  3. Compare output with the human acceptance checks. Preserve errors, gaps and unknowns for review.

Setup and plan requirements

Official web documentation checked 2026-11-10 lists Hong Kong, Macau and Taiwan, plus Simplified, Traditional and Hong Kong Chinese and English. An adult personal account is our recommended exercise scope, not a claim that all child, school or work accounts qualify. Personal/school accounts generally require 13 or the local applicable age; work accounts have separate 18+, administrator and plan conditions. Child/Family Link documentation contains inconsistent wording and needs separate verification.

Prompt portability limits

Start with standard free access; no subscription is required for this card. Taiwan advertises NT$0/month for free access. Local Hong Kong/Macau paid prices are unverified, so no local paid price is promised. Compute limits vary with model, complexity and conversation length, including five-hour and weekly caps; no fixed number of prompts is guaranteed. Wait if limited rather than assuming an upgrade is needed. Mobile, API, CLI and the original automation have separate eligibility, account and cost requirements.

Usage limitations

Documentation review is not a test from the three regions. Prompts, account access, model output and the original full workflow were not tested. Use fictional or de-identified data, never confidential inputs; some data can receive human review. Disabling activity is not zero retention: relevant chats can remain for 72 hours and undergo safety review. A person must verify outputs; text advice is not execution.

Environment sources

適用情境 / When to use

Separate post counts from author counts in fictional comments, preserving counterexamples and later resolutions instead of generalizing from a small sample. Adds a fixed sample, distinct post/author counts and resolution checks so summary bias can be identified explicitly. 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.

步驟 / Steps

  1. Preserve the input IDs and use the fictional fixture with the parameterized prompt in text chat.
  2. Human acceptance check: high-price concerns have three posts, M1/M2/M3, but two authors, A/B, with M4 as counterevidence. M6 updates the M5 sync complaint as resolved. Do not claim most users are unhappy or present M5 as still unresolved.
  3. If output fails a check, record the discrepancy and revise the request for human review. Never present an expected answer as observed model output.

提示詞 / 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.

留意事項 / Cautions

  • 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.

來源限制 / Evidence limits

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.

流程說明 / Workflow note

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.

原始工具組合 / Original tool stack

n8n; Bright Data; Google Gemini; Notion

Source publication date: 2025-08-30

Source checked: 2026-11-10

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