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Working with AI Conversations

Label a Chat So You Can Find It Later

Writes a searchable title, tags, key terms and a one-line description for a finished chat, so it is easy to find months later.

Designed for general-purpose AI assistantsPublished November 2026

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Help me label this conversation so I can find it again in several months, when I will remember the problem I had but not the words used in the chat.

How I organize my chats: none yet
Words I would probably type when searching for this later: not sure
Project or area this belongs to: 

Read the whole conversation and produce:
1. Title: at most 8 words, starting with the topic and then the type of result (for example "Postgres connection pooling: decision and settings"). It must make sense out of context.
2. One-line description of the outcome, written for someone who has never seen the chat.
3. Result type: choose one of Decision, Draft, Explanation, Code, Plan, Research, Troubleshooting, Brainstorm, or Other.
4. Status: Finished, Needs follow-up, or Abandoned, with one line on what is left if it is not finished.
5. Tags: up to 6 lowercase tags. Prefer the folders and tags I already use when they fit, and mark any new tag as [new].
6. Search terms: ten words or phrases I might type later. Include the names of tools, products, error messages, people and projects that appear in the chat, and also the plain-language words for the problem that never appeared in it.
7. Follow-ups: dates, deadlines or promised actions mentioned in the chat, quoted exactly.

Rules: use only what is in the conversation. If you cannot tell the outcome, say "outcome unclear" in the description rather than guessing. Do not include private details such as passwords, keys or personal data in any label.

Copy customized prompt includes your values. Copy original keeps the {{placeholders}}.

How to use it

  1. Run it in the conversation you want to label, once the work is done, so the assistant can see the final outcome.
  2. List the tags or folders you already use so the new labels fit your system instead of creating a pile of near-duplicates.
  3. Add the search terms to the chat title, notes or tags in whatever tool you use, not just the title. You will search with words from the problem, not the answer.
  4. Skim for private details before copying any label into a shared tool or document.

Example output

Illustrative only. Real answers depend on your input and the assistant you use.

Title: Postgres connection pooling: settings decision

Description: Chose PgBouncer in transaction mode with a pool of 20 for the API; the checkout service keeps direct connections.

Result type: Decision

Status: Needs follow-up. Load test the pool size before release.

Tags: postgres, pooling, pgbouncer, api, performance, [new] infra-decisions

Search terms: too many connections, connection pool, pgbouncer transaction mode, max_connections, FATAL remaining connection slots, database timeouts under load, pool size, prepared statements pgbouncer, api scaling, checkout service

Follow-ups: "Run the load test before the March release."

Tips

The plain-language search terms are the most valuable part. Chats are usually titled after what the assistant said, and you will search with the words you used for the problem.

If your tool only has a title field, put the topic and result type in the title and the search terms in the first line of the chat or in a note.

Do this when the work is fresh. Labeling a chat a month later means reading the whole thing again.

If you use HistChat, folders, tags and full-text search work across ChatGPT, Claude, Gemini and Grok conversations, so the tags and search terms from this prompt are useful in more than one assistant.

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