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In this episode, Aishwarya Reganti and Kiriti Badam introduce a powerful new framework for building AI products: the Continuous Calibration/Continuous Development (CC/CD) framework.
If you’ve ever shipped an AI demo that looked magical but struggled to scale, this framework will resonate. The CC/CD framework provides a practical and structured approach to navigating these realities and building AI systems that are stable, intentional, and trustworthy.
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 o…
