Customer AI Deployment

Discover a customer workflow, reduce its riskiest assumptions, and carry a useful AI system through measurement and rollout.

1. phases/14-agent-engineering/47-outcomes-before-output — 60 min
2. phases/14-agent-engineering/48-discover-the-real-workflow — 70 min
3. phases/14-agent-engineering/49-map-assumptions-and-risk — 65 min
4. phases/14-agent-engineering/50-choose-the-smallest-testable-slice — 65 min
5. phases/14-agent-engineering/51-write-specifications-that-preserve-judgment — 75 min
6. phases/11-llm-engineering/06-rag — 90 min
7. phases/11-llm-engineering/10-evaluation — 45 min
8. phases/11-llm-engineering/13-production-app — 120 min
9. phases/14-agent-engineering/52-design-success-metrics — 70 min
10. phases/14-agent-engineering/53-prototype-pilot-or-production — 70 min
11. phases/17-infrastructure-and-production/20-shadow-canary-progressive — 60 min
12. phases/14-agent-engineering/54-build-the-feedback-ratchet — 75 min