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THE SUPERVISION LOOP

Your runtime. A clearer operating routine.

Connect an existing agent, report its work, review the outcome, and add explicit control points where they matter.

Conceptual illustration of pink activity signals passing through a smoked-glass review checkpoint
01Your agents

Local · cloud · scheduled

02Toolcaise

Activity · incidents · outcomes

03Your decision

Review · approve · investigate

04Your runner

Handle the decision at a checkpoint

Illustrative Toolcaise workbench showing agent runs, review states, and sample activity
Illustrative product view with sample data. Your workspace reflects the activity your agents report.
01

Connect one agent

Create a workspace and register an agent. Keep the agent-scoped credential in your runner’s secure configuration. Start with the Python or Node.js SDK, or use the documented HTTP contract.

02

Make its work visible

Confirm the first heartbeat, then report a complete run with meaningful steps and an outcome. Report the expected schedule if the task recurs. A heartbeat alone does not establish that the work happened.

03

Review the result

Open the reported artifact, compare it with the brief, and record a human acceptance or rejection. Investigate incidents using the run history and the evidence in the source system.

04

Add a decision before action

Instrument compatible SDK checkpoints and guarded operations. Test waiting, rejection, approval, and acknowledgement with harmless actions before relying on the integration.

05

Evaluate the pilot

Choose your own measures: reported run coverage, reviewed outcomes, and time to investigate incidents. Agree rollout scope and pricing with the team before a paid expansion.

Outbound reporting. Deliberate controls.

Toolcaise receives the metadata your agents send. It does not automatically discover every agent, host arbitrary customer code, or interrupt an external action already in flight.

Open the technical connection guide →

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.