Part 2 focuses on engineering the Architectural North Star into a production AI system that is secure, reliable, testable, observable, and economically viable. It establishes the security and governance controls required to protect AI systems, develops an evaluation approach for measuring probabilistic behavior, and defines the reliability and observability practices needed to operate AI systems at scale. It then addresses the economics of intelligence, covering cost optimization, model routing, caching, usage controls, and AI unit economics. The journey is deliberately structured as: Secure → Evaluate → Observe → Optimize → Operate
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