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ENGINEERING TEAMS

Keep your runtime. Add a supervision layer.

Instrument Python, Node.js, and HTTP agents with reported activity, outcome review, and explicit control points.

Conceptual illustration of separate agent activity signals held in dark glass panels

AN EXAMPLE WORKFLOW

The worker finished. Which step produced the bad result?

Your agent already has a runtime and tools. Add the operational record that helps the people supporting it understand failures, review outputs, and control integrated actions.

01

Instrument one path

Report a heartbeat and a run lifecycle. Add spans around the calls you need to debug rather than shipping raw prompts or secrets.

02

Test the failure path

Trigger a controlled failure in your own test environment. Confirm that the reported step history gives a reviewer enough context to investigate.

03

Introduce controls deliberately

Add checkpoints and one guarded action. Verify the waiting, rejected, approved, and runner-acknowledged states before expanding the integration.

01Your agents

Local · cloud · scheduled

02Toolcaise

Activity · incidents · outcomes

03Your decision

Review · approve · investigate

04Your runner

Handle the decision at a checkpoint

Measure the pilot honestly.

Measure the completeness of reported runs, time to locate a failed step, and coverage of consequential actions by guards. Cost data is only as complete as your reporting.

Explore the relevant capability →

START WITH ONE WORKFLOW

Put your next run
under supervision.

Connect the agent you already run. Build confidence from the work you can actually review.