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Imagine thinking that the look of a website is the right metric to judge the performance of AI models.

If your job is to produce websites that look good it's an excellent way to judge performance of AI models _for your workflow_.

What's the problem?

Most of the look of the thing is about the built in tools and skills and harness settings, not the quality of the code. those things can be replicated locally as well.

The problem is you can change the prompt a little and get correct results on a local AI too.

Frontend has been solved for years.

I don't think changing the prompt alone is going to do it, but iteratively providing feedback can get you there.

With GPT-5.4 or GPT-5.5, or of course also by writing the code by hand if we want to go all the way, it was well possible to build nice frontends to our liking.

I still don't want to go back when I can do it better and faster with Opus 5.5.

It is one metric to judge them. And if you do frontend stuff, it's probably a fairly relevant one.

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