From AI prototype to production software, without starting over.

Yes. We audit the app first, tell you what's already solid, and rebuild what isn't, typically authentication, payment integration, and data validation, since Lovable optimizes for a working demo, not a production backend. The working UI you already have usually survives the rebuild unchanged.

We can, but deploying it as-is usually isn't the right move. Replit Agent builds move fast and skip the parts that only matter once real users show up: session handling, rate limiting, error monitoring, rollback plans. We audit what you have, fix what's missing, then deploy it properly.

Yes. The process is the same regardless of which AI tool built the prototype, Emergent, Bolt, v0, Cursor, or Base44: audit first to see what's load-bearing, then rebuild only the parts that won't hold up under real traffic and real data.

Nothing is usually wrong with the UI. What's typically missing is what a demo never needs: real session management instead of a hardcoded login, payment webhooks that are actually wired up instead of a checkout button that just looks right, database constraints that stop bad data instead of trusting the frontend to behave, and a rollback plan for when a deploy breaks something. None of that shows up in a walkthrough. All of it shows up the first week real users touch the app.

Supabase is the most common backend behind Lovable and Bolt builds, and Row Level Security is the most common gap we find in them. RLS disabled or misconfigured on a table means any authenticated user can potentially read or write data that isn't theirs. It's usually a fast fix once it's found, the problem is that it's invisible in a demo where you're the only user testing it.

A focused rebuild, fixing auth, payments, and data integrity on an app whose scope hasn't grown much beyond the original prototype, runs $15,000 to $35,000. A standard rebuild, covering a fuller feature set, an AI layer, or multi-platform delivery, runs $30,000 to $60,000. We give you the number after the audit, not before, so the price reflects what we actually find in your codebase.

We keep what works. The audit's job is to separate the two: UI and flows that are genuinely fine stay as they are, and only the parts that won't survive real users, backend logic, security, data handling, get rebuilt. Throwing away a working interface to rebuild it from scratch would cost more and add risk for no reason.

A bug fix assumes the foundation is sound and something broke. An AI-tool prototype usually isn't missing a fix, it's missing entire systems that were never built: real auth, real payment handling, real data validation. We scope and price it as what it is, a defined rebuild of specific systems, not an open-ended hourly debugging engagement.