Explains feed monitoring and late events
Heartbeats and lag on streams, alerts on silence, and late events re-evaluated rather than dropped.
Can AI do this?
AI does this well Most of the tested AI models master this. 4 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 100% | Mastered |
| gemini-3.5-flash-lite | Low cost | 100% | Mastered |
| gpt-6-luna | Low cost | 100% | Mastered |
| claude-haiku-5-5 | Low cost | 100% | Mastered |
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: Heartbeats and lag on streams, alerts on silence, and late events re-evaluated rather than dropped.
How it is assessed: Answers a written question on the feed health correctly
Related knobits
Needed for
- N-605 Recognises an event rule silent when its feed is late
- N-606 Recognises a feed with no failure alert
- N-632 Monitors a feed's own health
All 15 knobits of Set event thresholds and alerts.
Source: Practice the stage 6 reference and review checklist rest on