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 Isn't a Chatbot: Deciding with Three JSON Primitives
Introduces Jev's design: no paragraphs or code, just three JSON primitives — yes/no, choices, and scores — built to decide, not chat, with a workshop link.
Jeff isn't another chatbot. No paragraphs, no code — just JSON with three primitives: yes/no, choices, and scores. It's built to decide, not to chat. Workshop: https://explainx.ai/workshops/jev #jev #typesafe
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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.
