Explains the scope of a metadata strategy
Metadata is collected only where a use case justifies its cost of capture and the staleness it brings; a strategy starts from users' questions, not from what a tool can harvest (DMBOK2 ch. 12 §2.1).
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 | 71% | Not shown |
| gemini-3.5-flash-lite | Low cost | 64% | Not shown |
| gpt-6-luna | Low cost | 73% | Not shown |
| claude-haiku-5-5 | Low cost | 71% | 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: Metadata is collected only where a use case justifies its cost of capture and the staleness it brings; a strategy starts from users' questions, not from what a tool can harvest (DMBOK2 ch. 12 §2.1).
How it is assessed: Answers a written question on the metadata strategy scope correctly
Related knobits
Needed for
All 13 knobits of State the metadata requirements and strategy.
Source: Practice the stage 1 reference and review checklist rest on