Jev limitations: when not to use it
Understand where Jev does not fit: open-ended generation, exact rules, unsupported evidence, high-risk autonomy, and uncalibrated decisions.
1. It does not replace a generative model
Use another model when the output must be an explanation, plan, translation, summary, or new piece of text. Jev should return a typed judgment that code can consume.
2. It does not replace deterministic code
Authentication, authorization, exact calculations, schema validation, and hard policy rules belong in normal software. A probabilistic model should not overrule facts your program already knows.
3. Confidence is not a safety guarantee
A concentrated distribution can still be wrong. Calibrate on representative examples, monitor drift, and do not turn a high score into permission for an irreversible action.
4. Ambiguous tasks need a fallback
If the valid answer is outside the supplied options or the state is incomplete, abstain, request more context, or send the case to a person instead of forcing a convenient label.