Search intent: Founders with an AI-built prototype that looks promising but is not ready for customers.
Short answer: Audit the architecture, data, security, payments, hosting, UX, AI prompts, and error handling before real users arrive.
AI-assisted tools can help you create a prototype quickly, but they often leave hidden issues: duplicated logic, weak permissions, fragile database rules, missing tests, unclear deployment steps, and UX flows that break outside the happy path.
A rescue sprint turns the prototype into something safer to launch. The work usually includes technical audit, cleanup, security hardening, payment or subscription setup, analytics, bug fixing, user onboarding, and a production deployment plan.
What to do before launch
Do not keep adding features until the foundation is checked. Stabilise the app, protect user data, simplify the main workflow, and make sure you can support paying customers after launch.
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