Is your prototype ready for real users?
For anyone who built an app with AI tools: ten questions that show whether it is ready for real users, and what to fix first.
Prototype to production
It works in the demo.
Now make it survive real users.
You built something with AI tools, a no-code platform or a quick MVP, and it works. People like it. Now real users, real data and real money are about to touch it. We are a senior engineering team that works with AI every day: we review what you built, keep what works, fix what’s risky, add tests and monitoring, and hand back a system someone can maintain. No rewrite unless it’s truly needed.
The gap
A demo only has to work once.
A product has to work every day.
AI tools build what you ask for, fast. They rarely ask who should see which data, where the passwords live or what happens when a payment fails.
The first real users find the gaps a demo never shows: a page that shows someone else’s data, an error that loses an order, an AI bill that doubles overnight.
The person who built it may be the only one who understands it. If they move on, nobody can change it without fear of breaking something.
This is for you if
- You built an app with AI coding tools, a no-code platform or a quick MVP, and real users are coming
- It works, but you’re not sure it’s secure, backed up or ready for more people
- You want to keep what you built, not pay for a rewrite from scratch
- You want a system your next developer or team can understand and take over
What that looks like
AI speed,
with an engineer on every change.
74 of 97
Code changes on SuperEscuela co-written with an AI coding assistant, every one accepted by an engineer
Read the case study →8 weeks
From a clickable mockup with no data behind it to a working AI product, live on the client’s own accounts from week 5
Read the case study →5 stages
The same method behind every project, from the real data to a system in production
Read the case study →1 minute
Ten questions to see whether your prototype is ready for real users, and what to fix first
Read the case study →How it runs
A short review first
We read the code, the accounts and how it’s set up. You get a written list in plain words: what’s solid, what’s risky and what to fix first.
Keep what works
Most of what you built stays. We change what’s risky, not what is simply written differently from how we would have done it.
Fix the risky parts first
Logins and permissions, passwords and keys out of the code, backups that can be restored, personal data handled with care, and limits on what the AI can spend.
Add tests and monitoring
Automated checks on the paths your users depend on, run before every release, and alerts that tell you something broke before your users do.
Hand back a system someone can maintain
On your own accounts, with readable code, short written notes on how it works and a record of every decision, so your next developer or team can take it over.
Questions builders ask
- Do we have to rebuild it?
- Usually not. Most prototypes have a sound core and a handful of risky gaps. We fix those and keep the rest. If one part really can’t be made safe, we tell you which part, why, and what replacing it costs, before anything is rebuilt.
- We used no-code or AI tools. Can you work with that?
- Yes. We build with AI coding assistants every day, so code written with them is familiar ground. If part of your app lives on a no-code platform, we check what it can safely do there, and move only what it can’t, if anything.
- How does it start, and what does it cost?
- With a short review of what you built. You get a written list of what’s solid, what’s risky and what to fix first. Scope and price for the fixes are agreed after that, so you know what you’re paying for before you commit.
- Who owns the code?
- You do, once it is paid for. All IP rights in the code we deliver transfer to you when every agreed payment has been made; until then, EVDevs keeps them. What you built yourself stays yours. The work happens in your own repository and on your own accounts, and there is no product of ours underneath it to license or lock you in.
- Do you use AI to fix it?
- Yes, that is part of the velocity. Engineers decide what to change, review every change and own what ships. On SuperEscuela, 74 of 97 code changes were written together with an AI assistant, and an engineer accepted every one.
Built it fast?
Let’s make it last.
Tell us what you built, with which tools, and who is about to use it. We will tell you what we would check first.
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