So we built AI Workflows — chain multiple agents together and let them run autonomously, with each step receiving outputs from previous steps.

Three agent types you can chain:

- Code Agents: Build features in GitHub with commits and pull requests.

- Content Agents: Generate CMS content with context injection from previous steps.

- Computer Use Agents: Automate browser workflows and record demos.

How it works:

1. Define steps with agent type, prompt, and configuration

2. Steps run sequentially or in parallel (configurable)

3. Context passes automatically between steps

4. Trigger manually, on a schedule (cron), or via CMS and API events (object.created, object.edited, etc.)

5. Add approval gates for human review before critical steps

Example: Autopilot feature development:

Step 1: Content Agent writes a feature spec based on user feedback

Step 2: Code Agent builds the feature, creates PR, and deploys to production

Step 3: Content Agent generates documentation and a changelog entry

Step 4: Computer Use Agent posts update to team Slack with the PR link and preview URL

Currently in beta. Would love feedback on the workflow model and what use cases you'd want to automate.