Validating AI Prototypes: When to Cut Scope Before Sprint Commitment

Rapid AI-generated prototypes can look polished enough to ship, but rushing them into sprints without validation risks scope creep and wasted effort. This validation framework filters demos from workable starting points by testing minimum data models, edge cases, and true business logic. The real value isn't generation speed but the discipline of eliminating unnecessary features.