Jev case: Building got faster.
Noted that frontier teams like TypeSafe still use Framer when a site must look credible on day one.
The original post
Building got faster. Taste didn’t become optional. Framer is where frontier teams like @typesafeai still go when the site has to look like a serious company on day one.
Quoted post
@CompleteSkeptic34.5M viewssourceAfter co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x
What the author linked
- typesafe.ai
- x.com/CompleteSkepti…
- Home - TypeSafe AI — TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software. Try our
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under websites & web apps. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the websites & web apps page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post