Recognises a solution stated as a concern
A concern that names a solution; the question behind it is lost and the architecture is pre-decided.
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 | 83% | Not shown |
| gemini-3.5-flash-lite | Low cost | 60% | Not shown |
| gpt-6-luna | Low cost | 50% | Not shown |
| claude-haiku-5-5 | Low cost | 82% | 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 question behind the solution
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: CN-004 "We need a customer data lake" Acceptable: "Can marketing see all of a customer's products in one place, daily?"
Also known as: Solution stated as a concern
Related knobits
Builds on
Usually followed by
All 17 knobits of Frame stakeholder concerns and architecture principles.
Source: Review checklist 01-concerns-principles, row 5 (42010; TOGAF)