JEV AND THE RETURN OF THE CLASSIFIERS

Summary from the TLDR Dev newsletter

Jev returns typed choices, scores, or yes-or-no probabilities instead of generating prose, making bounded decisions fast and inexpensive. Its “zero hallucination” claim means outputs always fit the supplied schema, not that every decision is correct. The more important promise is calibrated confidence that can route uncertain cases to humans or slower reasoning models, though that calibration requires validation on real workloads.