Solutions
The failure mode is always the same — a noisy stream, checked often, alarmed on a fixed line. Pick the page that matches your problem or your team.
Use case
Catch LLM eval regressions the day the evidence is decisive — one trustworthy alarm per real drop in judge scores or task success, valid no matter how often you check.
Use case
Detect model and data drift the day the evidence is decisive — one trustworthy alarm per real shift, valid no matter how often you check, with a fleet-wide false-alarm budget.
Use case
Alert fatigue is a math problem: a fixed threshold checked continuously must false-alarm. Get one trustworthy alarm per real change, with a fleet-wide budget.
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.