TypeSafe AI details 20 agentic use cases for its Jev decision model

TypeSafe AI, founded by ex-OpenAI researcher Diogo Almeida, introduced Jev, a System One model that takes unstructured state and returns typed decisions with calibrated probabilities. The company claims Jev is 193.6x faster and 444.6x cheaper than frontier LLMs, running in 70–500 ms versus 3–329 seconds.

• Jev returns typed decisions with probabilities instead of chat or code
• Three primitives: Choice (up to 255 options), Score and Noul
• Claimed 193.6x speedup and 444.6x cost reduction versus LLMs
• Priced at $0.042 per million input tokens, output free