Prototype to Production
From Working Demo To a Product Users Can Trust
AI app builders and no-code tools make a working prototype fast. Before real users and their data arrive, we review what you have, fix the security and data protection gaps, add tests, hosting and monitoring, and rebuild only the parts that will not hold up.
What you get at each stage
Sized to where your product is now, and built so the next stage adds to it rather than starting again.
Idea & validation
Use the prototype to learn, not to hold real data
- A review of what the prototype proves and what it does not
- Advice on testing with sample data before real users sign up
- Your brief written in the builder, so the prototype has a spec
- A plain view on whether to harden what you have or rebuild the core
MVP & launch
Make it secure and maintainable before real users arrive
- A security review of sign-in, data access rules and secret keys
- UK GDPR basics: privacy notice, lawful basis and who can see what
- Automated tests on the main journeys, and error reporting
- Hosting, backups and monitoring in accounts you own
Growth & scale
Keep it fast and safe as usage grows
- Code organised into a structure another developer can follow
- Database and performance work as user numbers grow
- Automated releases with a quick way to roll back
- Regular dependency and security updates
What is included
Prototype review
What the app does, how it stores data, which services it depends on and where it is likely to break, written up in plain English.
Security fixes
Sign-in, data access rules, exposed keys and input checks reviewed and fixed, so one user cannot see another’s data.
Data protection basics
The personal data you hold mapped, with a privacy notice, sensible access and the UK GDPR basics in place before launch.
Tests and error reporting
Automated tests on the journeys that matter, and error reporting, so you hear about problems before users tell you.
Hosting you own
The app moved to hosting, a database and backups in your own accounts, with monitoring and a way to roll back.
Keep or rebuild
Where the generated code is sound, we keep and tidy it. Where it will not scale or cannot be maintained, we say so and price the rebuild before you commit.
Everything in Prototype to Production
10 services. Take one or combine several: we size each to your stage and agree the scope and a fixed price before work starts.
Review
- Prototype reviewWhat the app does, how it stores data and which services it depends on, written up in plain English.
- Security reviewSign-in, data access rules, exposed keys and input checks tested, so one user cannot read another’s data.
- Data protection checkThe personal data the app holds, checked against the UK GDPR basics: privacy notice, lawful basis and who can see what.
- Keep or rebuild adviceWhich parts are sound, which would cost more to fix than to rebuild, and a fixed price for the work.
Make it production-ready
- Security fixesAccess rules, secret keys and sign-in fixed and retested before real users arrive.
- Automated testsTests on the journeys that matter, run on every change.
- Code clean-upGenerated code organised into a structure another developer can read and change.
- Hosting you ownThe app moved to hosting, a database and backups in your own accounts.
- Monitoring and error reportingErrors and uptime watched, so you hear about problems before users tell you.
- Release processChanges tested and released in one step, with a quick way to roll back.
Scope it free, then build it
Your MVP brief is the brief
The brief you write in the free MVP builder is what we quote from. It tells us who the product is for, the Must-have features, the main journeys and the budget, so work on Prototype to Production starts from your brief, not a blank page. It fits these stages:
In your brief
The sections it builds on
- MVP scope
- Build approach
For established companies
New products and ventures, scoped first
Established companies use the same review when a team has built an internal tool or customer pilot with an AI app builder or no-code platform: a security and data protection check before it handles real customer data, and a plan to support it or rebuild it properly.
Tell us about your projectQuestions founders ask
Is a prototype from an AI builder good enough to launch?
Sometimes, for a small test with sample data. Before real users and their personal data arrive, it needs a security review, proper access rules, tests and hosting you control. Code can work well in a demo and still leave data open.
What kind of problems should we look for?
Data access rules that let one user read another’s records, secret keys exposed in the browser, no backups and no tests are common gaps in any fast-built app. One public vulnerability record, CVE-2025-48757, describes insufficient row-level security in some Lovable projects that let unauthenticated attackers reach data. The supplier disputes it, but it shows why a review matters.
Will you keep my prototype or start again?
We recommend whichever costs you less over the life of the product. After the review we tell you which parts are sound and which would cost more to fix than to rebuild, and you get a fixed price for the work before it starts.
Can I keep using the AI builder afterwards?
Yes, if it suits you. You can keep trying new ideas in the tool, while changes to the live product go through tests and review first. We agree how that works before handover.
Who does the work?
Our own team, the same people who design and build our MVPs, with one point of contact from review to launch.