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Your team wants to use the app tomorrow.
With Lovable, Bolt or Cursor you have a working app in a few days. Whether it’s ready for real data, you can’t tell by looking at it.
for apps built with Lovable, Bolt or Cursor
Someone on your team built an app with AI. In a few days we check it for security, privacy, usability and maintenance. You then get a prioritised list of fixes: what needs to happen before it goes live. It’s a thorough review, not a pentest.
No obligation · 30 minutes · online, with someone who builds apps
At a glance
Sound familiar?
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With Lovable, Bolt or Cursor you have a working app in a few days. Whether it’s ready for real data, you can’t tell by looking at it.
02
Who can get in? Where is the database? Is there a key in the code? The tool you built it with doesn’t answer that.
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In apps built with AI, the database is often open to anyone who knows where to look. You only notice when someone finds it.
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The maker has a regular job too. If something breaks, or that colleague leaves, who fixes it?
What we look at
We put every app through the same four questions. If your app uses AI itself, we also look at fairness and energy, as in the AI Scan.
Security
We check
Login and permissions, whether the database is shielded per user, keys and passwords in the code, and whether a bit of poking around gets you into someone else’s data.
Privacy
We check
Which personal data goes in, where hosting and database are located, which services can see the data (an AI service, analytics) and whether you need a data processing agreement.
Usability
We check
Whether the main tasks go smoothly, what happens with an error or an empty list, whether it works on a phone, and whether it’s usable with the keyboard or a screen reader.
Maintenance
We check
How the code is put together, where the app runs, whether there are backups, what it costs per month and what happens if the maker leaves.
How it works
We start after an introductory call and a proposal we agree on together. Your app simply keeps running. We ask for read access to the code, a test account and a little of the maker’s time.
Day 1. An hour with the maker: what the app does, who uses it and with which data.
Day 1. Read access to the code, for example via GitHub, and a test account. Preferably with test data.
Days 2 to 4. We go through the four tests, in the code and in the app. As a regular user, and as someone with bad intentions.
Day 4. A priority for each finding: fix now, soon or OK. And an answer: live, live after fixes, or not yet.
Day 5. We go through everything with the maker and IT. You get the report and the fix list.
What it asks of your team: read access to the code, a test account and 1 to 2 hours of the maker’s time.
After a first conversation you get a proposal with a clear scope and a fixed price.
What you get
Not a thick report that ends up in a drawer. You get four things the maker can use straight away.
Example
Fix list
5 of 23 findings
Database is readable without login
Security
Turn on per-user rules in the database
Fix now
No database backups
Maintenance
Set up and test a daily backup
Fix now
Form doesn’t work with the keyboard
Usability
Add labels and a visible focus
Soon
Client names go to an AI service in the US
Privacy
Leave out names or choose an EU service
Fix now
Login via Microsoft 365
Security
Works with your existing accounts and permissions
OK
Made-up example. In your real fix list, each finding also says how to check whether the fix worked.
After the check
The fix list is yours. The maker can work through it themselves, with us or with another partner.
Many fixes can be done with the same tool the app was built with. If you want certainty, we check them afterwards.
We complete the fixes and put the app on solid hosting in the EU, in your organisation’s name.
We keep your app safe and up to date, with updates and backups. We’ve been doing that since 2011.
If your app is ready, we’ll say so. Then you won’t need us after that.
Who builds it
Ethic is Zenjoy’s AI studio, based in Leuven. What we check in your app, we do every day in our own work. If it then needs finishing and maintaining, the same team can do that.
15 years
building and maintaining software
400+
organisations
4 years
AI in our own work every day
Frequently asked questions
Question not listed? Just ask us.
Data processing agreement on request.
Preferably not. We work with read access to the code and a test environment with test data. If we do need real data, we agree in advance what, for how long and read-only.
If you ask for a confidentiality or data processing agreement, we arrange it before the start. If you work with your own template, we’re happy to review it.
Yes. Bolt, Replit, Cursor, v0 or Claude Code: we look at what comes out of it, so the code, the database and the hosting. We’re also happy to check an app a colleague wrote without AI.
Not the heavyweight kind. We check what most often goes wrong in apps built with AI, in the code and in the app itself. If your app handles sensitive data, such as health or pupil data, we recommend a full pentest afterwards.
No. Building a working app is a real achievement. We look at the app, not the person, and explain every fix. That way the maker learns something too.
No. The verdict and the fix list are yours. You can work through them yourself or with another partner.
In a 30-minute conversation we look at what your app does, and whether a Reality Check makes sense.
No obligation · 30 minutes · online, with someone who builds apps