Recognises alert volume beyond handling capacity
Expected or observed alerts far above what the team can work.
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 | 36% | Not shown |
| gpt-6-luna | Low cost | 36% | Not shown |
| claude-haiku-5-5 | Low cost | 36% | 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 rule, its volume and the capacity
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: ER-002 rapid transfers: 1 200 alerts a day against capacity 120 Acceptable: Retuned or risk-scored to within capacity, with the trade-off stated
Also known as: Volume beyond handling capacity
Related knobits
Builds on
Usually followed by
All 15 knobits of Set event thresholds and alerts.
Source: Review checklist 06-event-thresholds, row 4 (27002 8.16)