AgentWatch
A monitoring and audit-trail tool for AI agents in production environments, focused on loop detection, drift alerts, anomaly flagging and replayable audit trails, helping teams quickly identify the root causes of agent incidents.
Timeline (last 90 days)
In the author's own production deployment, AgentWatch's replayable audit trails made incident root cause analysis 4.2 times faster.
In the author's own production deployment, AgentWatch captured 100% of production Agent loops within 60 seconds, with zero manual alerts.
AgentWatch saved over $12k per year in token costs from undetected retry loops.
AgentWatch's positioning boundaries: it monitors but does not fix problems; audit trails only cover instrumented paths; anomaly detection is a statistical judgment, and there will be false positives in the first few weeks after launch that require parameter tuning.
AgentWatch can be tried for free, and users can connect an Agent and observe how its first week of behavior performs once it is replayable.
All Facts (4)
In the author's own production deployment, AgentWatch's replayable audit trails made incident root cause analysis 4.2 times faster.
50%UnverifiedIn the author's own production deployment, AgentWatch captured 100% of production Agent loops within 60 seconds, with zero manual alerts.
50%UnverifiedAgentWatch saved over $12k per year in token costs from undetected retry loops.
50%UnverifiedAgentWatch's positioning boundaries: it monitors but does not fix problems; audit trails only cover instrumented paths; anomaly detection is a statistical judgment, and there will be false positives in the first few weeks after launch that require parameter tuning.
50%