Agentic Workflows

Do it once. Then let it run every Monday.

Some work is thinking. Some work is the same eight steps, every Monday. Workflows take the second kind off your desk and hand you back the first, with your judgement still in the loop.

Build it by drawing it

Click a block to add it, drag from one node to the next to connect them, configure each in a side panel. The agent’s instruction is saved with the workflow, so the thing that runs is the thing you can read, all the way from trigger to result.

  • Triggers. Run on demand, or on an interval or cron schedule.
  • Project context. Ground the run in a project’s documents, datasets, skills and crawls.
  • Agents. A saved prompt run against your gathered material.
  • Logic and actions. Branch on a value, call an HTTP endpoint, send Slack or email, or write the result back into a project.
Workflow canvas
Scheduleevery Monday 07:00
Project context14 sources
Agentweekly briefing prompt
Send emailto the client
succeededCompleted 4 steps2.7s · $0.01

Describe it and the copilot draws it

Say what you want in plain English — “summarise this project’s new documents every Monday and email me a brief” — and the copilot lays out the whole graph on the canvas. Adjust it, point it at the right project, save. From sentence to running automation in about a minute.

Runs you can watch

Running a workflow shows live per-node status — each step’s state, timing and output — and nodes turn green or red on the canvas as it goes.

History and versions

Every past run opens its full trace. Every save is a version, and the last twenty are restorable with one click.

Grounded results

Point an agent at a project’s own approved sources and write the result back into that project, so output stays reproducible and defensible.

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