Jev is fast, cheap, and accurate enough to handle the judgment calls you’d never pay an LLM to make at scale—is this email urgent, does this paragraph sound like AI, should I escalate this customer service request—on everything, all the time. Today, head of evals Mike Taylor explains what that unlocks, head of marketing Douglas Brundage shares his shortcut for putting Jev to work, and senior editor Jack Cheng shows why Jev is so good at turning intent into action.

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Why Jev is blowing up your timeline

What happened: On September 15, TypeSafe, an AI frontier lab that spent two years in stealth, released Jev, a model that classifies text and structured data instead of generating it. The release lit a match that has yet to sputter: On X, Jev demos are everywhere. Users have gone viral showcasing how Jev can be used to play video games, re-rank search results, and filter social media posts, among so many other uses. Senior editor Jack Cheng’s Jev demo, which shows the model’s ability to infer a user’s intent from speech and hand gestures, has surpassed 1 million views.