Taking Over Broken AI-Built Systems: Rescue, Fix, or Migrate

Takeover service for broken, half-finished systems built with AI app builders, Claude/ChatGPT, or 'system builders': audit what exists, back up the data first, then fix, migrate, or rebuild.

Demonstration project

A business paid for a system that was supposed to remove manual work. The demo looked convincing, but in daily operations it breaks: records silently corrupt, errors loop, nobody can change anything without breaking something else — and the original builder is gone or proposing a rewrite from scratch. The owner is left with sunk costs, an operational dependency, and no exit path.

TL;DR

Stage	What you have today	What you have after
Verdict	”Nobody can tell me if this is salvageable”	A written answer: fix, migrate, or retire — with the cost of each path
Data	Living inside a fragile half-built system	Exported and backed up before anyone touches anything
Operations	Daily workarounds around broken flows	Stabilized flows that survive changes and new staff
Ownership	The builder holds the keys	You do: code, data, documentation, and deploy access

This page describes the service and the exact order of work. The linked articles at the bottom contain the verified pricing and cost math behind it.

The Problem: “It Was 95% Done” Six Months Ago

This is now one of the most common situations I see. A system was built with an AI app builder (Replit, Lovable, Bolt, Bubble), generated wholesale with Claude, ChatGPT, or Cursor by a freelance “system builder”, or assembled from no-code blocks — and the demo genuinely worked. Then real operations started, and the picture changed:

It works for one person and breaks for the team. The founder can drive it; a new employee hits errors on day one.
The data lives in fragile places. Half in Google Sheets, half in the builder’s private database, some of it only inside the AI provider’s account. Nobody can say where the master copy is.
Errors are silent. Duplicate customers, orders that vanish between steps, numbers that don’t reconcile at month-end — discovered weeks later, by customers or by your accountant.
Every change breaks two other things. There are no tests, no version history that means anything, and no documentation of what the code actually does.
The bills keep running. Builder subscription, AI token usage, per-seat fees — while the system it pays for sits half-usable.
The builder is gone — or answers every request with a quote for a rewrite from scratch.

The sunk money is not the worst part. The worst part is the operational dependency: your team routes daily work through a system nobody can repair, extend, or even safely turn off.

What I Take Over

AI app-builder projects — Replit, Lovable, Bolt, Bubble and similar, in any state from “almost works” to “abandoned mid-build”.
Systems generated with Claude, ChatGPT, or Cursor by a freelancer or an in-house enthusiast, without engineering review behind them.
No-code systems hitting their ceiling — AppSheet, Retool, Glide, Zapier/Make chains that became unmaintainable.
AI-agent prototypes that burn tokens, answer unreliably, or were never finished.

An honest note: sometimes the verdict is “keep most of it, fix two specific things” — and the engagement ends there, cheap. You get that answer too, with the reasoning in writing.

How a Takeover Works — the Order of My Work

Step 1 — A 20-minute fit call

You show me what hurts most and what you have. I tell you immediately whether it’s the kind of project I take over, and what the first look at it costs. No commitment beyond that call.

Step 2 — Inventory and access

Before any judgment: a complete list of what actually exists — accounts, code, spreadsheets, databases, subscriptions, integrations, and where the real data lives. In half-finished projects this alone usually surfaces things the owner didn’t know existed (and subscriptions nobody remembered).

Step 3 — Backup before anything else

A full, read-only export of every business record, before a single change is made. Whatever happens next — fix, migration, or a decision to retire the system — your data is already safe and in your hands. This step doesn’t touch daily operations.

Step 4 — Audit and verdict

I examine how the system is built and where it actually breaks, then give you a written verdict:

fix in place — what exactly is broken, what it costs to repair, and what still won’t be true afterwards;
migrate — what a rebuild on a sane foundation costs, in money and in calendar time, with your existing data carried over;
retire — sometimes the system solves a problem you no longer have, and the right move is to turn it off cleanly.

You choose the path with real numbers, not with hope.

Step 5 — Stabilization

Whatever path you choose, daily operations must survive the work: error loops get stopped, runaway AI bills get capped, and the two or three flows your team depends on most get temporary supports so nobody works around a broken system for months.

Step 6 — Fix in place, or migrate

For a fix: bounded changes, each verified against a plain-language acceptance checklist you approve — no “trust me, it works now”.

For a migration: the data gets modeled properly, moved with validation at every step (row counts, control totals, spot checks you can read), and the old and new systems run in parallel until they reconcile. Your team switches when the numbers match — not before.

Step 7 — Cutover and handover

A reconciliation report from the parallel run, a walkthrough for the team, documentation a non-builder can follow, and everything in accounts you own. No lock-in: any competent developer can pick it up after me — that is deliberate.

What You Get

A verdict in days, not months — most owners’ real question (“is this salvageable at all?”) gets a written answer early, at a small fixed cost.
Data safety as step one, not an afterthought.
A system your team can change without fear — with tests as the safety net, and an owner who holds all the keys.
Zombie subscriptions and token leaks found and stopped — often paying for the engagement on their own.

Your Replit or Lovable App Isn’t Production-Ready: The Real Cost of AI-Built Software — what was inside a real Replit rescue (details anonymized): what the $25/month subscription covers, and what it never will.
AppSheet’s Real Cost at 20 Users — and Why an AI Agent Can’t Rescue It — the seat math, and why click-only configuration cannot be operated by an AI agent.
Retool at 20 Users: The Per-Seat Math Nobody Runs Before Subscribing — the per-seat and metered-run math to run before committing to any builder platform.
How to Prepare Your Business Data for AI Agents — the checklist I run before any AI feature touches your data.
Hundreds of Prompts Later, Still No Working System — why prompting harder never fixes a broken process, and what does.

FAQ

Is my project salvageable, or is it a rewrite? That is exactly what the audit answers. Some takeovers end with a two-week fix; some are honest rewrites with the old data carried over. Both answers come with numbers attached, and you pick.

The original builder is gone or unresponsive. Can you still work with it? Usually, yes — if you control the accounts the system runs on (or can recover them). The inventory step establishes exactly what is reachable and what is not.

Do we have to leave the current platform? No. If the platform is sound and only the build is broken, fixing in place is the cheaper path. Migration is recommended when the platform itself is the ceiling — and the audit says which situation you are in.

Want a Verdict on Your Stuck Project?

Bring it to a 20-minute fit call. You will leave the call knowing whether your system is salvageable, what the realistic next step is, and what it costs — even if you never hire me.