Jev is the flagship model of TypeSafe AI and the company's first System One Model. Rather than generating text for people to read, it evaluates typed questions against a supplied state and returns structured values that calling software can branch on, sort by, and route with. Applications send state and typed questions over an API and receive answers directly, with no text generation step and no parsing of model output.

The model exposes three composable question primitives: Choice selects an option from a list, Score rates a state against a rubric, and Noul reports whether a statement is true. Every question is evaluated in parallel and in isolation against the same state within a single call, and each result carries a calibrated confidence estimate. Applications set confidence thresholds to decide when to act autonomously and when to escalate for review.