Jev versus text-generating models
Jev does not generate free-form text. A side-by-side video compares parallel decision-making with token-by-token text generation.
Jev's three primitives: choice, score, noul and parallel usage
Introduces the three primitives available when calling Jev—choice, score, and noul—and notes they can be used in parallel, illustrated with an email triage example about whether to auto-archive.
when calling jev you have these 3 primitives (choice, score, noul), and you can use them in parallel which is interesting let's take an example: you're creating an email triage workflow you want to know if you should auto-archive something or not it's actually not obvious if
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Pricing, evaluations, and the name Jev
The launch thread explains code-and-AI workflow evaluations, the input price announced at launch, and free output tokens.
Jev Model: Decision-Making Probability Generation, 200× Faster and 400× Cheaper Than LLMs
This model is built for decision-making rather than text generation, outputting probabilities for each option in parallel instead of token-by-token responses. The author shares a simplified comparison of normal LLMs versus this Jev model.
