Knowledge
Source Library Ingestion QA
Turn raw captures into retrieval-ready knowledge instead of a pile of orphaned links.
Use when
A new article, video, X post, podcast, or image enters your knowledge base and should be findable later.
Cadence
After each source capture
Verification
Metadata complete, transcript/article state honest, useful takeaways present, and qmd retrieval verified or refreshed.
Structured loop spec
| Field | Value |
|---|---|
| Name | Source Library Ingestion QA |
| Category | Knowledge |
| Trigger | After each source capture |
| Objective | Turn raw captures into retrieval-ready knowledge instead of a pile of orphaned links. |
| Allowed inputs | Relevant files, source notes, logs, tests, screenshots, metrics, or task state for this loop |
| Allowed actions | Check canonical URL, title, author, platform, date, source type, and status.; Patch missing takeaways and best-practice sections from the transcript or article only.; Update the source index and refresh retrieval.; Stop when the note can be found by a distinctive query and has no avoidable TBD fields. |
| Verification | Metadata complete, transcript/article state honest, useful takeaways present, and qmd retrieval verified or refreshed. |
| Stop condition | Stop when the verifier passes, the budget is exhausted, no progress is made, a blocker appears, or approval is required. |
| Budget | Set a time, turn, token, retry, file, or dollar cap before running the loop. |
| Approval boundary | Human approval required before public, destructive, financial, legal, account, or production-impacting actions. |
| Safe output | Draft, report, checklist, table, or approval-gated recommendation |
| Works with | Claude, ChatGPT, Gemini, any tool-using AI assistant |
Steps
- Check canonical URL, title, author, platform, date, source type, and status.
- Patch missing takeaways and best-practice sections from the transcript or article only.
- Update the source index and refresh retrieval.
- Stop when the note can be found by a distinctive query and has no avoidable TBD fields.
Prompt
After a new source note is added, make it retrieval-ready. Verify source metadata, transcript or article state, key takeaways, extracted best practices, and search retrieval. Patch only what is grounded in the source. Output the note path, status, and retrieval proof.Run in Claude Code
Paste this into Claude Code (or any tool-using agent) to run the loop bounded: one change per round, the same verification every round, durable state files, and explicit stop conditions.
Run the "Source Library Ingestion QA" loop from AI Loop Library (https://ailooplibrary.com/loops/source-library-ingestion-qa/) as a bounded loop.
Goal: Turn raw captures into retrieval-ready knowledge instead of a pile of orphaned links.
Rules: one change per round; run the same verification every round (Metadata complete, transcript/article state honest, useful takeaways present, and qmd retrieval verified or refreshed.); append each round to docs/loops/source-library-ingestion-qa/progress.md and update docs/loops/source-library-ingestion-qa/state.json; stop on verifier pass, 8 rounds, 3 consecutive failed verifications, no progress, a blocker, or anything needing human approval (money, production, outbound, deletion). Finish with a proof report: rounds used, changes made, verification output, remaining risk, and the next human decision.