Episode

Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google & Amazon

Two AI product experts, Aishwarya Reganti and Kiriti Badam, discuss the fundamental differences between building AI products versus traditional software products. They emphasize that AI products are non-deterministic (unpredictable inputs and outputs) and require careful balance of agency versus control, advocating for a gradual approach starting with high human control and low AI autonomy before progressively increasing automation. They introduce their "continuous calibration, continuous development" framework as an iterative methodology for building reliable AI products.