Our summary
An alert stops helping when it keeps ringing and nobody responds. Honma, a reliability engineer at Canly, tests whether Jev can identify these stale warnings. The article gives each model a monitor’s definition, thirty days of alert activity and facts about the team’s responses in Slack.
Honma tests four monitors three times each, using personal judgments as the answer key. Jev and Claude Opus 5.5 both get all twelve stale-or-not decisions right. The harder questions ask for the alert’s type, cause and next action. Jev gets seventeen of thirty-six right, while Claude gets twenty-eight.
Jev answers in about a fifth of a second in this test, but misses every root-cause label. That makes a quick first flag more plausible than automatic diagnosis or alert removal. Four cases are too few to prove a policy. Uncertain answers still need escalation and a wider test on real alerts.
Key takeaways
- Separate the simple question of whether an alert has become stale from the harder questions of why it happens and what to do next.
- Give a model the monitor definition and recent alert and response facts, rather than asking it to guess from a short title.
- Treat the author’s confidence cutoff as an observation from a tiny test. Test a wider set before using a cutoff to change monitoring.