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evolvearchitectureops

Compound AI Systems

Multi-model routing, cascading, the classifier-generator-verifier triad, AI gateways, protocol composition, and the systems engineering that turns models into products.

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13 lessons
  1. 1. Why One Model Isn't Enough5 min
  2. 2. The Classifier-Generator-Verifier Triad5 min
  3. 3. System Contracts and Component Design5 min
  4. 4. Routing Strategies5 min
  5. 5. Cascade and Fallback Patterns5 min
  6. 6. AI gateways in production5 min
  7. 7. Semantic caching5 min
  8. 8. Cost optimization at system scale5 min
  9. 9. Shadow testing and model evaluation6 min
  10. 10. MCP + A2A — the protocol stack8 min
  11. 11. Agent registries and capability discovery8 min
  12. 12. Observability for compound systems8 min
  13. 13. Capstone — building a compound AI system10 min

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