AI agent monitoring

Detect an AI agent that stopped, drifted, or finished without an answer.

A scheduled agent can return a completion message while skipping a required result, taking too long, or spending too much. Runliant checks simple rules you choose without calling another AI model.

Start free →See the 3-minute setup

✓ Free plan with no time limit✓ No platform login needed✓ No customer or conversation content required

01 / The problem

A completed agent run can still be an incomplete business result.

The model may stop early, omit a required section, return zero records, or exceed its time and cost budget. A separate deterministic check makes those failures visible.

The agent never finished

Alert when the expected job does not report back before the allowed delay ends.

The answer is incomplete

Require the result count and fields that must exist for the work to be usable.

The run exceeded its budget

Set maximum duration and cost thresholds for each monitored job.

02 / How it works

Keep the automation where it is. Add a final check.

Runliant watches the schedule and the outcome without asking for access to your automation account.

Step 1

Set the expected schedule

Tell Runliant when the agent should finish and how late it may be.

Step 2

Choose simple result rules

Define minimum counts, required values, duration, or cost without sending the full conversation.

Step 3

Report the final status

Have the agent workflow send its final status to Runliant's unique receiving URL.

03 / What you get

Clear alerts without an AI judging another AI.

Know when a scheduled agent silently stops or never reaches its final action.

See which required result is missing instead of reading every transcript.

Catch unexpectedly slow or expensive runs before they become a recurring cost.

04 / Questions

Before you connect a job

Does Runliant read the prompt or conversation?

No. Send only the status and selected result checks. The prompt and conversation can remain in your existing system.

Does checking require another model call?

No. Runliant evaluates the schedule, counts, required values, duration, and cost using the rules you set.

Can it monitor different agent frameworks?

Yes. Any agent workflow that can send a final HTTP request can report its status to Runliant.

Start with one real job

Know when it stops, fails, or returns the wrong result.

Connect in about three minutes. Runliant stays quiet while the job is healthy and alerts you when it needs attention.

Start free →