We explore the tension between algorithmic speed and human verification, asking who truly defines user needs when leaders bypass governance for AI-generated apps. We examine Jim Lewis and Jeff Sauro’s taxonomy of synthetic users alongside Hiroshi Sato’s concept of the engawa to distinguish robust research from weak prompts, while confronting how our own design friction may be silently training the very tools we use. This episode forces us to admit that not all AI personas are created equal and that the boundary between user and labor is blurring faster than our industry can adapt.
