Recognises metadata collected for no use case
A source providing metadata that appears in no use case's needs.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 47% | Not shown |
| gemini-3.5-flash-lite | Low cost | 31% | Not shown |
| gpt-6-luna | Low cost | 49% | Not shown |
| claude-haiku-5-5 | Low cost | 47% | Not shown |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: The source, and whether to drop it or write the use case that needs it
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: MX-005 harvests query counts per column daily; no use case asks Acceptable: Dropped, or a use case that needs it (e.g. retire unused tables)
Also known as: Metadata collected that no use case needs
Related knobits
Builds on
All 13 knobits of State the metadata requirements and strategy.
Source: Review checklist 01-requirements-strategy, row 2 (DMBOK §2.1)