TinyJev is a 596M-parameter decision model that runs offline on laptops, scoring predefined options rather than generating text. It provides typed classification tasks (choice, true/false, scoring) with calibrated confidence scores, available as Python API, HTTP server, or System One endpoint, MIT licensed.