Recognises model inputs the plan does not locate
The plan does not say where the glossary and the rules live, or says something model-config.yaml sources: does not.
Can AI do this?
AI does this partly Some of the tested AI models master this; others do not show it. 2 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 89% | Not shown |
| gemini-3.5-flash-lite | Low cost | 90% | Mastered |
| gpt-6-luna | Low cost | 89% | Not shown |
| claude-haiku-5-5 | Low cost | 91% | Mastered |
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 input and where it lives, agreeing with the configured sources
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: inputs: {glossary: "the team's glossary spreadsheet", data_rules: null} Acceptable: The metadata and data-quality projects, the same paths as sources:
Also known as: Inputs not located
Related knobits
Builds on
Usually followed by
All 10 knobits of Plan the modelling and set its standards.
Source: Review checklist 00-planning-standards, row 4 (DMBOK §2.1)