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.
How Jev Safely Picks an Action
Jev never touches your code. It only picks one option from a host-written list (inspect, implement, verify, or answer). The host rechecks it before running or falling back. A pick never grants permission.
Jev never touches your code, it only picks one option from a list the host wrote host writes the list → jev picks one id → host rechecks it → run or fall back the list is inspect, implement, verify or answer, and answer comes with zero tools a pick never grants permission,
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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.
