The ultimate test of a prompt-to-app generator is a small business web app requiring login screens, user permissions, and strict per-user data isolation. The visible interface - form inputs and data lists - is trivial for any modern conversational compiler. The invisible architecture is what actually determines viability: secure session management, database schemas that correctly map user ownership, and a stable deployment that will not corrupt records under concurrency.
Mocha and Softgen approach this challenge from starting points of conversational chat. But building a secure multi-tenant dashboard exposes the critical differences between their systems. While both promise to compile app layouts from text inputs, evaluating them on database persistence and auth stability reveals standard limitations of raw generative code.