Your AI-built POC works. Now it has to survive real users.
You built something real with Claude, Cursor, or Lovable — it demos well, people want it, and you know it isn’t ready. I take AI-built prototypes to production: tests, auth, data, deployment, and the parts the demo skipped. I work with agents myself — I shipped a product where they wrote the whole codebase — which is why this costs a fraction of a traditional rebuild.
Sound familiar?
- It works perfectly — until two people use it at the same time.
- There are no tests, so every change breaks something you find out about later.
- Auth and payments are half-wired: the demo logs in, but you wouldn’t put a real card on it.
- The AI wrote code nobody fully understands, and you can’t tell which parts are solid.
- It runs on your laptop or a hobby deploy, and you don’t know what production even needs.
- Customers or investors are ready now, and "give me three months to rewrite it" isn’t an answer.
None of this means your POC was a waste. It means it did its job — it proved the idea. Production is a different job.
Why me
Most senior engineers will tell you to throw the prototype away and quote you a six-figure rebuild. I won’t, for two reasons. First, I build with AI agents every day — at Pie I shipped pie.yt, a production product whose entire codebase was agent-written, so I know exactly what AI-built code gets right, where it quietly cuts corners, and how to fix those parts without starting over. Second, I spent five years as a Senior Staff engineer at PayPal — I know what production-grade means at the level of money and user data, and I hold the finished product to that bar.
Start small: find out what you actually have
Production Readiness Audit
$2,500- Full review of the codebase through a production lens: security, data handling, auth, error paths, scalability
- A keep / fix / rewrite map — most AI-built POCs are more salvageable than founders fear
- The critical-risk list: what would actually hurt you with real users, ranked
- Test and deployment plan sized to your product, not enterprise ceremony
- A fixed quote for the finish-line work, so the total cost is known before you spend it
If we continue to a full engagement, the entire fee is credited toward the project.
Example projects
Fixed-bid from the audit. These are typical ranges — the audit tells you exactly where yours lands.
Finish line: POC → launched product
$20k–$50kHardening what’s sound, rewriting what isn’t, tests and CI, auth and payments done properly, deployed on real infrastructure with monitoring.
4–8 weeksCritical-path rescue
$10k–$20kJust the parts that block launch — usually auth, data integrity, and deployment — when the budget needs the rest to wait.
2–4 weeksKeep-shipping retainer
$3k–$6k/moAfter launch: I stay on a few days a month so features keep shipping at production quality while you find your footing (or your first engineer).
ongoingHow working with me goes
- Audit
Fixed price, one week. You learn what you have, what it needs, and what the finish line costs — useful even if someone else does the work.
- The finish line
Fixed bid. I do the production work — with agents where they’re strong, by hand where it counts — and you can watch every PR land.
- Launch & handoff
Deployed, monitored, documented. You get a codebase a future hire can pick up, and the option of a retainer until then.
Questions clients ask
Will you just tell me to rewrite it from scratch?
Almost never wholesale. AI-built code is usually a mix: solid CRUD and UI, shaky auth, data, and edge cases. The audit maps which is which, and the plan keeps everything that’s sound. A full rewrite recommendation happens only when it’s genuinely cheaper — and the audit shows the math.
My POC is in a stack you might not know.
If it came out of Claude, Cursor, Lovable, Replit, or Bolt, it’s almost certainly TypeScript/React/Node or Python — my home turf. If it’s something else, I’ll say so on the intro call rather than learn on your invoice.
Can I keep building with AI while you work?
Yes — and I’d rather set you up to do it well. Part of the finish-line work is putting guardrails in place (tests, CI, conventions) so your own agent-built changes stop breaking things. That’s the same harness work I do for engineering teams.
Who owns the code? What about my idea?
You own everything — work-for-hire, in your repos from day one. NDAs are fine. Your idea is yours; I build products for clients, I don’t compete with them.
What does this cost, really?
The audit is $2,500 and credited toward the project. Most finish-line engagements land between $20k and $50k fixed. If your budget is under about $10k total, the honest answer is the audit alone plus a prioritized plan you can execute incrementally — and I’ll tell you that upfront.
Other things I’m hired for
Chrome → Safari & iOS Extension Porting
I port Chrome extensions to Safari, macOS, and iOS — the way I did at Honey and Pie.
Learn more →MCP Server Development for SaaS
I build production MCP servers that put SaaS products inside Claude and ChatGPT.
Learn more →AI-Agent Development Enablement
I get engineering teams shipping production software with AI coding agents.
Learn more →Find out what you actually have.
Send me the one-paragraph story: what you built, what it does, and what scares you about real users. I'll tell you within a day whether the audit would pay for itself.