Who it’s for
Different stacks, same trap: a metric that wobbles, a threshold that cries wolf, a channel that gets muted. Pick your team.
For LLM engineers
Catch silent model updates and eval regressions the day the evidence becomes real — one trustworthy alarm per real change, valid no matter how often you look.
For MLOps & ML engineers
Your PSI and KS monitors false-alarm every day, so you mute them and miss the real drift. Get one trustworthy alarm per real shift — prove it on your history first.
For SRE & platform teams
When your runbook says “ignore the first alert,” the alarm is broken. Get one trustworthy page per real incident — a false-alarm budget across every stream you emit.
Prefer to start from the problem? Browse by use case.