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: The Missing Decision Layer for AI
Jev does not generate text; it turns unstructured state into typed, probabilistic decisions in milliseconds at a fraction of the cost of frontier LLMs.
New Post on VC Cafe: Jev and the missing decision layer for AI Jev does not generate text. It turns unstructured state into typed, probabilistic decisions in milliseconds and at a fraction of the cost of frontier LLMs. Here is why TypeSafe’s first “System One” model could
· 0 likesOpen on X
More like this
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.
