How do teams monitor AI agents without watching every trace?

Translate agent traces into perceptible state so operators can hear retries, waste loops, handoffs, and recovery without watching every run. The interface is a rendering of process state—not the agent itself—and idle must never mean unobserved. Teams running autonomous or semi-autonomous agents across tools, queues, and long-running workflows.

Source stateA sample or pasted trace stays in the browser and is mapped into visible state transitions.

becomes perceptible

Failure shapeThe run stays busy while evidence, confidence, or forward progress thins out—or absence is misread as idle calm.

The signal arc

nominal
advisory
warning
handoff
recovery

Decision supported

What the human can decide sooner

Know when to inspect, intervene, or let the run continue without opening every full trace.

Listening Receipt

What stays inspectable

Source trace, mapped transitions, rendered state, and the operator decision are preserved together.

Proof object: The browser-local Agent Trace Listening Preview and its generated Listening Receipt.
Truth status: Browser-local preview

Boundary: No chain-of-thought, private prompts, model policy, credentials, or proprietary orchestration logic.