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 Tip 005: Ask JEV Whether the State Has Enough Evidence
A JEV usage tip: instead of sending the question, ask JEV whether the provided state contains enough decision-relative evidence to answer it.
JEV TIP 005: "How do I solve the problem of knowing if the state I send to JEV has enough decision-relative evidence to answer my question?" Ask JEV. Instead of sending JEV the question, ask JEV if the provided state has enough evidence in order to answer the question. I
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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.
