Fix your AI-built app before real users find what's broken
Built with Lovable, Bolt, Cursor, or v0, and now every fix creates a new bug? I review the code, close the security and data holes, and make it ready for real users and payments. It starts with a $2,500–6,000 code review.
Scope
What I build
Apps built with Lovable or Bolt
Code written with Cursor, Copilot, or Claude
v0 front ends that need a real back end
AI-built apps about to take payments
Apps where every fix breaks something else
Demos that need to become a real product
Pricing
How much it costs to fix an AI-built app
Freelance prices in US dollars, the same as any takeover. It starts with a paid review, so you know what you have before committing to more. If you go ahead, the review fee comes off the project price.
| Type | Price | Timeline | What you get |
|---|---|---|---|
| Code review and rescue plan | $2,500–6,000 | 1–2 weeks | I read the code, database rules, hosting, and accounts, and tell you in writing what's risky, what to keep, and what it will cost. Credited if you continue. |
| Stabilize and secure | $10,000–24,000 | 4–10 weeks | Close security and data holes, fix what's breaking, make payments and errors behave, and clean up the worst code, while the app stays live. |
| Rewrite the weak parts and finish it | $22,000–48,000 | 8–16 weeks | Keep what's solid, rewrite what won't scale, and build the features the product still needs. |
Real example: The Chat Company started as an AI-generated demo. I kept about 20%, rewrote the rest, and it took 9 weeks and $20,000.
Approach
How I fix an AI-built app without starting over
AI tools are good at getting a demo working fast. They're weaker at the parts real products depend on: security, data, payments, and code someone else can maintain. I check those first, then decide what's worth keeping.
Read the code, not just the app
An AI-built app can look finished and still leak data. I go through the code, database rules, and accounts before changing anything.
Close the risky holes first
Logins, data access, secret keys, and payments get fixed before anything else, because those are what hurt your business if they fail.
Keep what works
Not all AI-generated code is bad. On The Chat Company I kept about 20% of the demo. Keeping good code saves you time and money.
Rewrite step by step
Weak parts are replaced one at a time while the app stays live, so your users keep a working product.
Capabilities
What I can handle
Reviewing
- Code and architecture review
- Database and access rules
- Secret keys and accounts
- A written rescue plan
Securing
- Logins and permissions
- Who can read which data
- Keys kept off the browser
- Payments and webhooks
Fixing
- Bugs that keep coming back
- Slow pages and queries
- Rising AI and hosting bills
- Errors and logging
Finishing
- Missing features
- Production setup
- Tests for what matters
- Handover documentation
Tools I take over from
- Lovable
- Bolt
- Cursor
- v0
- Replit
- Supabase
Difference
What goes into the build
I've turned an AI demo into a real product
The Chat Company started as a buggy AI-generated demo. Nine weeks later it was a SaaS used by 30+ businesses, handling 100K+ messages a day.
I use AI tools too
I'm not against AI-built code. I use AI tools every day. The difference is someone reading the output and taking responsibility for it.
Honest about fix versus rewrite
The review tells you what's worth keeping. Sometimes it's most of the app. I don't rewrite for the sake of it.
You keep building
Once it's stable, you can keep using AI tools for small changes, with a codebase that won't fall apart when you do.
Proof
Selected work
The Chat Company
2026
AI chatbot SaaS: 30+ businesses and 100K+ messages handled a day
- Confidential
Social challenge platform
2025
Social challenge app: 10,000 users and $40K staked on X accounts
- Confidential
Local news app
2024
Local news app: 50K downloads and 20K monthly readers
Process
How a project works
- 01
Access and review
You give me access to the code, database, hosting, and the AI tool's project. I send a written plan: what's risky, what to keep, what to rewrite, with a fixed price and timeline.
- 02
Secure and stabilize
Security, data, and payment problems first, then the bugs that keep coming back.
- 03
Rewrite and build
Weak parts replaced step by step, and missing features built, while the app stays live.
- 04
Hand over
A stable, documented app. I can keep building it, or hand it to you or your next developer in a state you can work with.
FAQs
How much does it cost to fix an app built with AI?
It starts with a code review for $2,500–6,000, which comes off the project price if you continue. Securing and stabilizing a live AI-built app usually costs $10,000–24,000, and rewriting the weak parts and finishing it $22,000–48,000. The Chat Company, an AI-generated demo I turned into a SaaS, cost $20,000.
Do I have to rebuild my Lovable or Bolt app from scratch?
Usually not. Most AI-built apps have parts worth keeping, often the screens and the overall flow. What usually needs work is underneath: data access rules, logins, payments, and error handling. The review tells you how much is worth keeping before you commit to anything.
Can I keep using Lovable, Bolt, or Cursor after you fix it?
Yes, for small changes. I'll tell you which parts are safe to change with AI tools and which need a developer, like payments and data access. Many founders keep making copy and layout changes themselves while I handle the parts that can break the business.
I only have one bug. Do I need a full review?
Not always. If it's one isolated problem, like a broken deploy or a login redirect, a quick fix is enough. If the same area keeps breaking after two or three fixes, the problem is the structure, not the bug, and a review will save you money.
What access do you need to review my AI-built app?
The code (a GitHub export or repository), the database, hosting, and any connected services like Stripe, Supabase, or your AI provider. If the app only lives inside the AI tool, exporting it to GitHub is the first step, and I'll help you do it.