Lovable, Bolt and Cursor to production: the AI-MVP cleanup checklist

Note: The AI builders that get you a demo, and the exact checklist to turn that demo into something a real user, and a real investor, can trust.
AI builders are extraordinary at getting you from idea to working demo. Lovable, Bolt, Replit, Vercel's v0 and a developer in Cursor can put a clickable product in front of you in a day. That is real progress, and you should use them.
The trouble starts when the demo meets a real user. The happy path works because the demo never goes off-script, and real users always do. Below are the tools founders reach for, and then the checklist we run to make what they built safe to ship and scale.
The tools that get you to a demo

Lovable
Free + paidChat your way to a full-stack app or website. One of the most popular AI builders for going from idea to working prototype in an afternoon. Brilliant for validation, less opinionated about long-term structure.
Visit lovable.dev
Bolt
Free + paidStackBlitz's in-browser AI builder that scaffolds and runs real web apps from a prompt. Fast for prototypes and front-end heavy products you want to preview instantly.
Visit bolt.new
Replit
Free + paidA full cloud IDE with an AI Agent that can build and deploy end to end. More of a real development environment, which makes it a common home for MVPs that outgrow a pure prompt tool.
Visit replit.com
Cursor
Free + paidThe AI code editor most engineers reach for. Once your MVP needs real changes, Cursor is where a developer takes the wheel without throwing away what the no-code tools built.
Visit cursor.com
Windsurf
Free + paidAn agentic IDE that can navigate and edit a whole codebase from natural language. Useful when a vibe-coded project has sprawled and you need an agent that understands the full repo.
Visit windsurf.comThe cleanup checklist
Run these in order of risk, not order of annoyance. The goal is not to restart. It is to keep the speed and add the structure.
- Audit the happy path and every path around it: empty states, errors, loading, permissions and offline.
- Map the real flows a user takes, not the demo script, and fix the dead ends with no way back.
- Unify the UI into one system: spacing, type, components and states, instead of five design systems at once.
- Close the security and data gaps: auth, validation, rate limits and anything that touches money or personal data.
- Make the code safe to extend, with structure a real developer can build on without a rewrite.
- Add the analytics and guardrails you need to learn from real users the moment they arrive.
This is exactly what Anyday's AI MVP Cleanup does. We audit what the AI built, fix the UX and UI that loses users, close the gaps off the happy path, and hand it back as a product people trust, without restarting from scratch.
- AI builders are great for demos and validation. Use them.
- The demo hides the work. Real users find the gaps off the happy path.
- Clean up by risk: audit, flows and states, UI system, security, code, analytics.


