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Workflows

From a task to a run to a verified outcome.

Execution model

  1. A task describes the work.
  2. The dispatcher promotes it into a run, with scheduled retries and a watchdog for stalled runs.
  3. The agent executes using its configured model, tools, and skills — via native agent sessions.
  4. High-risk capability calls pause for human approval (architecture; enforcement depth expanding).
  5. The result is recorded as an outcome with a status you can inspect.

Multi-step pipelines (chaining runs into repeatable workflows) are available as an experimental capability in the app.

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