Jev functions as a fast System 1 model optimized for discrete classifications rather than free-form token generation.
Designing agents around Jev requires expressing actions as bounded state transitions, like enumerating specific tools rather than passing open-ended arguments.
Smaller decision models can make incorrect choices, necessitating architectural harnesses such as watchdog models, validation loops, or fallbacks.
Worth knowing
Fast classification does not guarantee correctness; Jev has constrained option limits and still requires external fallbacks or verification harnesses.