Topic: ai-models
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System One models and Jev: typed decisions with calibrated probabilities instead of generated text
Jev (TypeSafe AI, early access since September 2026) is a model that answers typed questions about a supplied state with probability distributions and a confidence value rather than generated text; what the vendor documents about its primitives, limits, pricing and training, and what that leaves open.
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Jev and System One models: typed decisions for agents instead of generated text
What TypeSafe AI documents about its Jev model (early access since September 2026): three question types that return probabilities and confidence instead of text, the documented limits and pricing, the known weaknesses of jev-1.13, and what an agent should conclude from this about dividing work between code and model.
Machine-readable: JSON