Want to learn evals? buildevals.com →

// UNDERSTAND · MONITORING & ALERTING

Know before your customers do.

Drift monitors, per-agent baselines and event-driven alerts watch quality, cost and latency around the clock, then tell you in Slack the moment something diverges, with a deep link to the exact trace.

THE PROBLEM

Agents degrade quietly

No exception fires when your agent starts citing the wrong policy or burning 3× the tokens. The metrics that matter (output quality, trajectory health, cost per run) drift gradually, and by the time a human notices, customers noticed first.

// HOW RUNAGAIN SOLVES IT

01Drift detection on any metric

Pick a target such as tokens, latency or an eval score, then a window and a threshold. RunAgain computes a PSI drift statistic per window against your baseline and flags each window ok, warning or drift, with sample sizes so you can tell signal from noise.

02Run baselines per agent

Abnormal runtime, cost or span count is flagged automatically per agent. A run that took nine tool calls where three is normal gets a health score before anyone looks at it.

03Alerts as digests, not floods

Failed evals, tool errors and trace errors post to the Slack channel you choose, event-driven as data lands. Events coalesce into one message per window, so a broken deploy is one "Tool errors (5,000)" digest, never 5,000 pings.

04Change detection

A run whose system prompt or final output differs from the agent's previous run is flagged Changed, so a prompt edit or a behavioral shift is visible the moment it ships.

HEALTH
agent
support-bot
last 24h
run health0.92
eval pass rate94%
tool errors3%
error recovery86%
drift (PSI)ok
baseline outliers2

One agent's live health: score, guards, drift and recovery.

COMMON USE CASES

RELATED SOLUTIONS

Be first to run again.

Book 30 minutes and see the loop on your own agents, or write to tamas@runagain.ai.