Method2026-06-27#governance
Keep glossary publishing human-approved
The risk is subtle. A bad definition does not only misstate one answer; it trains future readers to reason with the wrong frame.
A human approval queue catches invented authority, missing caveats, audience mismatch, and definitions that are technically correct but useless in practice.
The pipeline is still fast. Notes can stage the reader language, AI can draft the candidate, Dictionary can expose the reviewed term, and the notebook can link the term back into walkthroughs.
Aha moment
A bad shared definition compounds because future walkthroughs and workflows inherit it.
Try this
Stage candidate glossary definitions as drafts, require human approval, and include source or scope notes before publishing.
Watch for
- Model-written definitions treated as approved knowledge
- No provenance for why a definition changed
- Technically correct definitions that miss the field audience