You described what you wanted, the model wrote the code, and for a while it worked. Then the demo broke in front of a customer, the costs stopped making sense, or a developer told you the whole thing needs rebuilding before it can take real users. That is the wall. Getting you past it is what we do.
We are a Melbourne development team, in-house, led by a CTO with 25 years of this. We keep what already works in your build, replace what will not survive real traffic, and tell you which is which before you spend anything.
Get a straight assessmentAI tools are genuinely good at producing something that demonstrates an idea. What they leave out is everything a user never sees, and that is the part that decides whether your product survives contact with actual customers. The pattern is consistent enough that we can usually predict what we will find before we open the repository.
None of that is a reason to throw the work away. It is a reason to be honest about the gap between a working demo and a system you can put your name on.
The valuable thing in your prototype is usually not the code. It is the product thinking: the screens you settled on, the flow that tested well, the decisions you made by watching people use it. That is real work and we do not throw it out.
Usually kept: the interface and layout, your product flow and navigation, the copy, any integrations that are already working, and the overall shape of the data model where it makes sense.
Usually rebuilt: authentication and permissions, the database schema and its constraints, anything touching money, file handling and uploads, and the deployment setup. These are the parts where the cost of getting it wrong lands on you rather than on us.
We start with a paid review rather than a proposal. You give us access to the code and tell us what you want the product to do. We read it properly and come back with a written assessment: what is sound, what has to change, what it will cost, and how long it will take. If the honest answer is that you do not need us yet, we will say that too.
If you go ahead, the review becomes the plan. We work in stages so you always have something deployable, rather than disappearing for two months and hoping. Most rescues are weeks rather than months, assuming the core idea holds up.
We cannot quote this page. What we can tell you is how the number moves. A prototype with a clean data model and one user type is a small job. One with payments, multiple roles, and a schema that has been patched by successive AI sessions is a bigger one. The review exists so the first thing you buy is a real answer rather than a guess dressed up as a quote.
You own everything at the end: the code, the IP, the infrastructure, and the accounts. If you later hire your own developers, we help hand it over.
Starting from nothing rather than a prototype? That is an MVP build. Still deciding what to build at all? Start with tech strategy. We have also written up what actually has to happen before an AI-built app can take customers.
Usually, yes. AI tools are good at producing something that demonstrates the idea. What they tend to leave out is the part users never see: real authentication, a database that holds up under load, payments that reconcile, and a deployment you can trust. That is the work we do.
Not always, and we will tell you honestly either way. We keep the parts that work, replace the parts that will not survive real users, and explain which is which before you commit to anything.
It depends entirely on how much of the foundation is sound. We start with a paid review that gives you a written assessment and a cost, so the first thing you buy is a straight answer rather than a build.
Getting a working AI prototype to something you can safely put real customers on is typically weeks rather than months, assuming the core idea is sound. A full rebuild takes longer, and we would say so up front.