Your AI-Built Website Is AI Slop — And You Don't Even Know It

Researchers catalogued over 200 AI-generated websites this month. Broken buttons. Forms that swallow submissions silently. Checkout flows that crash on mobile. Every one of them looked fine in a preview screenshot. Every one of them drove real users away within seconds. This is AI slop, and it's spreading fast.

Google has started penalising these sites. Bounce rates spike, rankings drop, and the builder who shipped it is left wondering why their 'finished' website isn't converting. The answer almost always comes back to the same thing: the site was generated, never tested.

The problem isn't that AI built the site. AI can write perfectly good code. The problem is what happens after generation — which, for most AI builders, is nothing.

What actually makes a website 'AI slop'

AI slop isn't about bad copy or generic design. It's broken functionality that nobody caught. The kind of bugs that only appear when a real person tries to use the site.

• Buttons that do nothing when clicked
• Contact forms that appear to submit but never send
• Navigation menus that collapse and won't reopen on mobile
• Checkout pages that error out mid-flow
• Images that fail to load on certain devices
• Pages that render correctly in Chrome and break entirely in Safari

None of these bugs show up in a static preview. They only surface under real conditions: a specific browser, a specific screen size, a real user clicking through a real flow. That's exactly why they go undetected until the site is live and visitors are already leaving.

Why other AI builders keep shipping broken sites

Every AI website builder follows the same loop: describe what you want, AI generates the code, site goes live. The generation step has gotten genuinely impressive. The problem is that the loop ends there.

The builder's job, as far as the tool is concerned, is done. No one runs the checkout. No one fills out the contact form. No one checks whether the mobile nav actually opens. The assumption is that correct-looking code is correct-working code. It usually isn't.

So the debugging falls to you. Code you didn't write, in a codebase you don't fully understand, for errors you might not be able to reproduce. Most people either give up and ship the broken site, or spend hours chasing bugs that a 30-second automated test would have caught immediately.

Why catching bugs isn't enough — you need them fixed too

Some tools have started adding basic testing. They'll flag a broken flow or highlight a failing component. That's better than nothing. But finding the problem and fixing it are two completely different things.

A bug report is not a fix. If a tool tells you your form doesn't submit and then hands the problem back to you, you're still stuck. You still need to understand what broke, why it broke, and how to fix it in code you didn't write.

The only version of this that actually works for non-technical builders is one where testing and fixing both happen automatically, before the site ever reaches you.

How CodePup ships sites that work, not sites that look like they might

CodePup runs functional tests automatically after every generation. Every button, every form, every user flow gets exercised before you see the result. If something breaks, it gets caught inside the build pipeline, not by a visitor to your live site.

When a test fails, CodePup doesn't surface the error to you. It fixes it. The same system that built the site diagnoses the issue, patches the code, and reruns the tests to confirm the fix held. What you receive is a site that passed its own test suite, not one that's still waiting to fail.

This is the difference between generate-and-ship and generate-test-fix-then-ship. The output looks the same on the surface. Underneath, one of them actually works.