We're excited to announce AI Triggers, a powerful new feature that brings automation to your development workflow. Plus, Pro users now have the ability to choose their AI model for each trigger.

What Are AI Triggers?

AI Triggers let you define automated actions that fire when specific development summaries arrive. Whether it's generating tweet drafts from marketing summaries, creating documentation from architect notes, or drafting release notes from product updates - triggers handle it automatically.

How Triggers Work

  1. Configure a trigger with a name, event filter, and prompt template
  2. Set the execution mode - auto-execute or require approval
  3. When a matching summary arrives, the trigger fires and generates output

Event Filters

Triggers can fire on specific summary types:

  • Marketing summaries - User-facing progress and business value
  • Architect summaries - Technical details and implementation decisions
  • Product summaries - Feature status and user story progress
  • Bugfix summaries - Bug descriptions and fix details
  • Documentation summaries - Content updates
  • Any summary - Fire on all summary types

Template Variables

Your prompt templates can use these variables:

  • {{marketing_summary}} - The marketing summary content
  • {{architect_summary}} - The architect summary content
  • {{product_summary}} - The product summary content
  • {{workspace_name}} - The name of the workspace
  • {{branch}} - The current branch name

Example Triggers

Tweet Generator

Name: Tweet from Marketing
Trigger when: Marketing summary received
Prompt: Write a tweet about: {{marketing_summary}}

Release Notes Drafter

Name: Release Notes
Trigger when: Product summary received
Prompt: Draft release notes based on: {{product_summary}}
Include the key features and any breaking changes.

Technical Documentation

Name: Architecture Docs
Trigger when: Architect summary received
Prompt: Update the architecture documentation with:
{{architect_summary}}
Focus on the design decisions and patterns used.

AI Model Selection (Pro)

Pro users can now choose which AI model powers each trigger:

Haiku (Fast)

Perfect for quick, simple tasks like tweet generation or brief summaries. Fastest response times and lowest cost.

Sonnet (Recommended)

The default choice. Great balance of speed, quality, and capability. Ideal for most trigger use cases.

Opus (Most Capable)

For complex tasks requiring deep reasoning. Best for detailed documentation, technical analysis, or nuanced content generation.

Free and Basic users default to Sonnet for all triggers, which provides excellent results for most use cases.

Execution Modes

Auto-Execute

The trigger runs immediately when a matching summary arrives. Output appears in your triggers panel automatically.

Require Approval

The trigger creates a pending output that you can review before executing. Perfect for important content that needs human oversight.

Outputs Panel

All trigger outputs are displayed in a dedicated panel where you can:

  • View results - See the AI-generated content
  • Copy to clipboard - One-click copy for easy sharing
  • Track status - Pending, Running, Completed, or Failed
  • Approve or cancel - For triggers requiring approval

Getting Started

  1. Open the Triggers Panel from the sidebar
  2. Click Add Trigger
  3. Configure your trigger settings
  4. Enable the trigger and watch it work

Triggers persist across sessions, so your automation setup is always ready.

Pro Features

AI Model Selection is available on the Pro plan ($189/month), which also includes:

  • 5 devices
  • Unlimited workspaces
  • Activity Insights (AI-powered)
  • Premium support

Upgrade to Pro to unlock AI Model Selection for triggers.

What's Next

We're continuing to expand the trigger system with:

  • More action types - Direct posting to platforms, creating issues, updating documentation
  • Conditional logic - Triggers that only fire under certain conditions
  • Chaining - Triggers that can invoke other triggers

Have ideas for trigger improvements? Let us know on GitHub.