I stopped trusting AI website prompts. Here's how I verify them instead.

I stopped trusting AI website prompts. Here's how I verify them instead.

Every "10 jaw-dropping prompts for your landing page" thread has the same problem: the screenshot is real, but the prompt they actually pasted is not the one that made it. You copy it, get something three steps uglier, and assume you did it wrong.

You didn't. The prompt was just oversold.

The test I started running

I stopped reading prompt round-ups cold. Instead, for any prompt I was about to use, I ran it through three different frontier models and scored the output against a fixed rubric — layout fidelity, typography, spacing, whether it actually matched the description. Not vibes. A number.

The results were loud. Across a batch of prompts I'd collected:

• a chunk of them held up across all three models
• several only produced that "screenshot" on one specific model and fell apart on the other two
• a few failed every time and were just… bad, hidden behind a nice thumbnail

That last bucket is the one nobody publishes. Which is exactly the problem.

What I look for now

Three things, in order:

1. Fidelity scores per model, not per author. If a prompt only works on one model, I want to know that before I build a workflow around it.
2. Failures shown, not buried. A list where every entry has a perfect score is a marketing page, not a tool.
3. A score I can reproduce. A rubric I can hold up against my own output and get roughly the same number.

I ended up putting this scoring into the library I was already building — https://www.56juqingba.com runs each AI website prompt through 3 frontier models and shows the real fidelity score, including the runs that scored low. No cherry-picked screenshots; the receipts are the product.

The takeaway

You don't need to distrust every prompt you find. You just need to stop treating a screenshot as proof. Verify on your stack, against more than one model, and keep the score where you can see it later.

The prompt section on that site is free to browse — poke at the ones with low scores and judge for yourself whether the scoring is honest.