Jev launches: a System One model for decisions
TypeSafe founder Diogo Almeida introduces Jev, its RLCD training method, and its focus on software decisions. The post includes a 2:56 launch video.
TypeSafe Jev decision model: state + typed questions in, choice/score/probability out
TinyRouter introduces TypeSafe's Jev decision model: state and typed questions go in, choice, score, or probability come out with no prose to parse. A sample call returns choice=billing (p=0.71), score 0.8 via POST /v1/systemone, 32K context, free output.
Not another chat model — a decision model. Jev by TypeSafe: state + typed questions in, choice/score/probability out. No prose to parse. Real call → choice=billing (p=0.71), score 0.8. POST /v1/systemone, 32K, output free. #Jev #TypeSafe #DecisionModels
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