Recognises capacity with no peak factor
Sized for the average day; salary day and month end are several times higher.
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 | 86% | Not shown |
| gemini-3.5-flash-lite | Low cost | 46% | Not shown |
| gpt-6-luna | Low cost | 83% | Not shown |
| claude-haiku-5-5 | Low cost | 84% | 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 capacity sized on the average day, and its fix or the question for its owner
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: peak_factor: null, basis "average day 2026" Acceptable: Peak factor from the highest observed day (salary day: 2.4 × average)
Also known as: No peak factor
Related knobits
Builds on
All 15 knobits of Plan environments and capacity.
Source: Review checklist 02-environments-capacity, row 4 (ITIL)