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Automations let you schedule headless agent runs on a cron schedule. Each automation stores a natural-language prompt, a schedule, and optional integrations so the agent can deliver results to email, Slack, or GitHub without anyone opening the chat.

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Activity feed

The Feed page in the left sidebar shows a chronological log of all automation activity across your project. Each entry shows the automation name, run status, timestamp, and links to the resulting chat or story. Use the feed to monitor scheduled runs at a glance without opening individual automations.

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Creating an automation

  1. Click Automations in the left sidebar.
  2. Click New automation.
  3. Enter a title and the prompt you want the agent to run.
  4. Pick a schedule and configure integrations (see below).
  5. Save.
After creation, each automation gets its own detail page where you can edit settings, review previous runs, and trigger a manual run.

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Schedule

Every automation runs on a cron schedule. The UI offers presets:
  • Hourly
  • Daily (9 am)
  • Weekdays (9 am)
  • Weekly (Monday 9 am)
  • Monthly (1st at 9 am)
You can also enter a custom cron expression for any other cadence. Use the toggle on the automation detail page to pause or resume the schedule at any time.

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Run now

Click Run now on the automation detail page to trigger an immediate run outside the schedule. The run follows the same flow as a scheduled execution.

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Integrations

Each automation can optionally deliver results through one or more integrations. Configure these in the right sidebar of the automation form.

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Email

When enabled, the agent sends its output by email after the run completes.
  • The automation owner’s email is included by default.
  • Add extra recipients as a comma-separated list.
  • Optionally override the email subject line.

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Slack

When enabled, the agent posts a message to a Slack channel with its results.
  • Enter the Slack channel ID (e.g. C0123456789).
  • Requires a Slack integration configured in your project settings.
  • The agent resolves @handle mentions to Slack user IDs before posting.

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GitHub

When enabled, the agent gets a set of dedicated GitHub tools:
  • github_read - fetch repository data (issues, PRs, files, branches) for context
  • github_create_issue - open new issues
  • github_create_pull_request - open new pull requests
  • github_add_comment - comment on issues or PRs
Requirements:
  • A GitHub OAuth connection on the automation owner’s account.
  • Optionally filter to specific repos (comma-separated) to scope which repositories the agent can access.

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MCP servers

When enabled, the agent can call tools from your connected MCP servers during the run. Toggle individual servers on or off per automation.

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Model selection

By default, automations use your project’s default model. You can override this per automation from the model selector in the form sidebar.

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Previous runs

The automation detail page shows a list of previous runs with:
  • Timestamp and duration
  • Status badge (running, completed, or failed)
  • Integration result icons showing which deliveries succeeded or failed
  • A link to open the full agent chat for any run
A run is marked failed if the agent did not call an expected integration tool, or if the agent loop itself errored.