Recognises an agreement with no quality or timeliness commitment
Nothing measurable on completeness, accuracy or delivery time.
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 | 40% | Not shown |
| gpt-6-luna | Low cost | 83% | Not shown |
| claude-haiku-5-5 | Low cost | 81% | 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 commitments to add
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: DA-001 quality: null, timeliness: null Acceptable: Daily by 06:00; completeness 99.9 %; defects reported within 1 day
Also known as: No quality or timeliness commitment
Related knobits
Builds on
All 14 knobits of Agree data sharing.
Source: Review checklist 05-data-sharing-agreements, row 3 (DMBOK)