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AI PROTOTYPE RESCUE

Your prototype works. Your launch doesn't.

Your AI-built prototype is impressive. Let's make it production-safe before your next demo breaks it.

SOUND FAMILIAR?

If you're nodding at any of these, we should talk.

  • "My Lovable app crashes when two users log in at the same time."
  • "Authentication is a hardcoded user — I cannot add real sign-up without breaking everything."
  • "Stripe works in test mode. I have never tested a real webhook and I am scared to."
  • "The database is SQLite and I do not know how to migrate it without losing production data."
  • "The AI wrote 4,000 lines in three sessions. I cannot explain half of what it does."
  • "My investor wants to see the product live next week and it crashes on mobile Safari."
  • "I have three different authentication systems in the same codebase and none of them are complete."
OVERVIEW

Lovable, Cursor, v0, and Bolt can produce a convincing prototype in an afternoon. What they cannot produce is a system that handles 50 concurrent users, processes real Stripe webhooks without data loss, or stores customer information without exposing it. If you have an AI-generated codebase that works in your screen recording but fails when someone else tries it — that is exactly where this engagement starts. Week one is a written codebase audit you receive before we scope the rest. You decide what to keep, what to replace, and what the budget looks like. I refactor only what will cause a real production failure. No rewrites for vanity.

THE RESCUE PLAN

Let's see what's actually broken.

01

Codebase Audit

WEEK 1

Week one: I read every file, document security risks, architecture gaps, and silent failure points. You receive a written report before we scope the rescue work. You decide what to fix and what budget makes sense.

02

Foundation Replacement

WEEKS 2–3

Swap out the unsafe parts: real authentication (Clerk or NextAuth), a real database (Postgres/Supabase), proper environment variables, secrets management, and a CI/CD pipeline that does not deploy broken code.

03

Feature Stabilisation

WEEKS 3–5

Reconnect the existing UI to the new backend. Add error boundaries, fix webhook handlers (Stripe, email, third-party APIs), and replace silent failures with observable ones.

04

Handover

WEEK 5–6

End-to-end test pass, security review, runbook, architectural decision record, and a 30-day support window. The next engineer gets documentation they can actually use.

IDEAL FOR

Right for you if these ring true.

  • You built a prototype with Lovable, Cursor, v0, Bolt, or similar AI coding tools and it actually works — in demo conditions.
  • You have a pilot date, an investor meeting, or real users lined up and the codebase is not ready for them.
  • You want an honest assessment of what is safe to keep before committing to more development spend.
  • You need real authentication (not hardcoded users), a real database (not a JSON file), and webhooks that do not silently fail.
  • You have been told "just rewrite the whole thing" and you suspect that is not actually necessary.
OUT OF SCOPE

What I don't do.

  • I do not rewrite working UI that is not a security risk — if it renders correctly, it stays.
  • I do not expand the product scope beyond what already exists in the prototype.
  • I do not take responsibility for features the AI generated that were never demoed or tested.
OUT OF SCOPE

Not right for this?

  • Prototypes that have not been shown to any potential user — run a discovery sprint first.
  • Codebases where the entire architecture needs replacing (a full MVP Build is faster and cheaper).
  • Teams that want to preserve every line of AI-generated code — some of it has to go.
- FOR THE RECORD

The AI Prototype Rescue service by Suhag Al Amin converts AI-generated prototypes built with Lovable, Cursor, v0, or Bolt into production-ready products in 3–6 weeks. The engagement starts with a written codebase audit delivered in week one — the founder reviews the findings and decides what to keep and what to replace before any additional spend is committed. Suhag then installs production authentication, a real database (Postgres or Supabase), CI/CD pipelines, and reliable webhook handling. Only code that causes production failures is replaced. Pricing starts from $4,500 USD. Inquiries: suhag.alamin13@gmail.com or https://cal.com/suhag.

Have a pilot deadline? Let's talk.

Tell me where you are. I'll tell you, honestly, whether 6-8 weeks is realistic and what the first week looks like.