AI Workflow Automation Revision
AI Workflow Automation Revision
Stop Being the Bridge Between Your Apps
Framework: Trigger → AI Brain → Action
The core idea
Manual cross-app work — copying data from one tool into another, formatting it, then pasting it somewhere else — is what Day 9 calls the "time tax." The fix is the Trigger-Brain-Action framework: a Trigger (the event that starts the workflow), an AI Brain step (where AI processes or transforms the data), and an Action (the result delivered into another app).
The Copilot Prompt Formula makes this concrete: "When [EVENT] in [APP A], use AI to [PROCESS], then [RESULT] in [APP B]." Ending the AI Brain instruction with a required JSON output format is what makes the automation reliable — it ensures the AI's output maps predictably to fields the next step expects, instead of producing free-form text that breaks the chain.
Key terms
| Term | Definition |
|---|---|
| Trigger-Brain-Action | The 3-part structure of any automation: what starts it, what processes it, what it does next |
| Copilot Prompt Formula | "When [EVENT] in [APP A], use AI to [PROCESS], then [RESULT] in [APP B]" |
| Time Tax Audit | An exercise identifying repeated manual cross-app tasks worth automating |
| JSON output instruction | Requiring structured output from an AI step so it maps reliably to the next workflow step |
Common mistakes to avoid
- Building an automation with no AI Brain step at all, missing the actual point of the framework
- Leaving AI output in free-form text instead of requiring structured JSON
- Skipping error-handling planning, so the automation silently fails on edge cases
- Automating a task that happens too rarely to be worth the setup time