AI-generated prototypes often don't deliver consistently decent results because of tiny inconsistencies scattered all across a design system. I's decisions made but not documented, hard-coded values never cleaned up, or relying too much on AI making sense of mock-ups or design flows on its own.
Yesterday I stumbled upon a useful practical guide by Hardik Pandya from Atlassian — on how to reduce drifts, minimize mistakes, maintain context, and improve the quality of AI-generated prototypes.