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.
Keyword Rules vs TypeSafe's Jev: A Small Demo
The author compares keyword rules with TypeSafe's Jev using the same messages and planner, changing wording to see what resolves, and invites suggestions for test cases.
Same messages. Same planner. Keyword rules vs TypeSafe’s Jev. Small demo. Change the wording and watch what resolves. What would you throw at it first? https://shiftroom.russwonsley.com
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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.
