TypeSafe AI's Jev Model Makes Decisions Without Generating Any Text

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TypeSafe AI, founded by former OpenAI researcher Diogo Almeida, launched a model called Jev on September 15 that performs structured decision-making without generating any text. Backed by $40 million in funding led by DCVC after two years in stealth, Jev accepts a state and predefined questions, returning calibrated yes/no, multiple-choice, or scale-score outputs in 70–500 milliseconds. The company claims it is 20–200 times faster and up to 400 times cheaper than frontier large language models on decision tasks, priced at $0.042 per million input tokens with free output. Within 48 hours of release, developers used Jev for tasks such as browser-operation decisions and context compression, highlighting strong early community adoption. The launch has prompted broader discussion about how many calls inside AI agent systems never actually required language generation at all.

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