Jev outputs fail complementarity, giving high confidence on both sides of a binary query
The author tested Jev's Choice/Score outputs and found that a proposition and its negation do not sum to 1, so both sides of a binary outcome can receive high confidence.
Within three weeks of Jev shipping on September 15, fourteen competing AI labs rolled out clones with prices already pushed to $0. Cloudflare, Perplexity, OpenAI, Liquid, Upstage, Together, and Inception all matched the exact same output schema: Choice, Score, Noul. The issue is what came along with that schema. Jev's own documentation notes that its outputs fail basic complementation. A query and its direct negation do not sum to 1. You can poll the endpoint on both sides of a binary outcome and receive high confidence on each, with no built-in state for uncertainty. A cheaper token will not fix that failure mode. An expanded context window will not either. If you are routing production logic through fast decision models, test whether complementary prompts add up to one before relying on the output. Zero-dollar pricing means nothing when the underlying math contradicts itself.