Chapters

1. 0:00
   IntroductionWhat you will build: a production AI workflow from real venture patterns
2. 0:14
   Why Most AI Tutorials FailThe 3 things production AI needs that tutorials skip: validation, cost controls, confidence handling
3. 1:47
   Step 1: The Intake LayerSchema validation catches garbage before it costs you. Zod/Pydantic at the boundary.
4. 3:18
   The 4-Stage PipelineIntake → Classify → Route → Notify — each stage independent with its own fallback
5. 3:58
   Step 2: AI ClassificationSingle-purpose prompts, temperature 0.1, output schema enforcement, cheap model selection
6. 5:59
   Step 3: Routing & Fallback3-tier confidence routing, human-in-the-loop, daily cost caps, decision logging
7. 7:57
   The 3 Layers — SummaryComplete recap: intake validation, classification architecture, routing with fallback
8. 9:17
   Go DeeperDownload the AI Workflow Architecture Checklist and explore the workshop