Page Lens AI

I’m building PageLens AI around a question:

Once your AI coding tool says “done”, how do you decide whether the app is ready for customers?

I use AI to build products myself. I don’t want to give up the speed it offers, but I also don’t want to treat a successful deployment as proof that everything works.

That’s the problem I’m working on with PageLens AI.

It independently reviews the deployed website or app, looking for issues around user journeys, mobile usability, accessibility, search readiness and publicly visible security signals. The focus is the experience people actually encounter—not just whether the code builds.

The part I particularly want to make useful is what happens after an issue is found.

A report that says “improve accessibility” still leaves you with work to interpret. PageLens provides evidence and a scoped instruction you can give back to your coding agent, then lets you recheck the deployed changes.

My hypothesis is that this fits naturally into the way indie founders already work: build, check, fix, check again.

There’s a free Ship Check that reviews one public URL and returns a launch-readiness verdict, three priority issues and a fix instruction. It doesn’t require an account or payment card.

It isn’t a security certification or a replacement for specialist human testing. It’s an additional check to help catch problems before you send people to the app.

For other founders building with AI: what does your actual pre-launch checking process look like? Do you follow a checklist, use automated tests, ask someone else to try it, or mostly test it yourself?