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In this episode, you’ll learn:
The two core differences every AI builder must account for: non-determinism and the agency–control tradeoff
The six phases of the CC/CD loop
How to scope capabilities across different versions of your product to gradually earn trust and agency
The role of reference datasets in taming unpredictability and guiding evals
How to design application-specific evals that act as the equivalent of tests for AI
Why control handoffs are essential for maintaining user trust
How to transform deployment from a finish line into the start of continuous calibration
Why you should never “jump to full agency” before the system earns it
How to apply the CC/CD loop with real-world examples: customer support, marketing assistants, and coding copilots
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