Recognises an SLA depending on an unknown OLA
The chain names an OLA that is not defined.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 1 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 91% | Mastered |
| gemini-3.5-flash-lite | Low cost | 9% | Not mastered |
| gpt-6-luna | Low cost | 89% | Not shown |
| claude-haiku-5-5 | Low cost | 90% | 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 defect named on the dependency on an undefined operational level, and its fix or the question for its owner
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: SL-005 depends on OL-006, not in the file Acceptable: OL-006 defined, or the dependency corrected
Also known as: SLA depending on an unknown OLA
Related knobits
Builds on
All 13 knobits of Define SLAs and OLAs.
Source: Review checklist 06-slas-olas, row 8 (20000)