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 returns only verdicts: where do decomposed judgments go?
The post introduces the idea of an AI that doesn't write articles, notes that Jev returns only verdicts, and asks where decomposed judgments should go, with a 1-minute vertical video and a 6-minute detailed explanation.
文章を書かないAI、という言い方があります。 Jevは判定だけを返す。では、分解した判断をどこに置くのか。 1分の縦動画にしました。くわしい解説（6分）はリプライに置いています。
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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.
