Unconstrained AI-generated UIs often fail in production due to design system violations, non-deterministic outputs, inconsistent component usage, and downstream engineering cleanup. Production-grade generative UI requires predefined component registries, schema validation, and explicit architectural constraints. The article examines where AI adds value in UI workflows (early scaffolding, rapid experimentation) versus where it breaks down, then presents Puck AI as an example of constrained generation that assembles interfaces exclusively from registered React components, outputs structured JSON page schemas, and enforces design system consistency through configuration rather than prompt phrasing.
