Recognises a decision with only positive consequences
No costs, risks or new dependencies recorded.
Can AI do this?
Not settled yet The benchmark tested this, but the models' answers do not settle yet whether they master it. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 66% | Not shown |
| gemini-3.5-flash-lite | Low cost | 47% | Not shown |
| gpt-6-luna | Low cost | 67% | Not shown |
| claude-haiku-5-5 | Low cost | 66% | 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 decision and its costs
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: AD-007, consequences.negative: [] Acceptable: Migration effort, lock-in, skills recorded beside the benefits
Also known as: Consequences missing or only positive
Related knobits
Builds on
All 16 knobits of Record the target architecture and its decisions.
Source: Review checklist 04-target-architecture-decisions, row 2 (ADR; 42010)