THE RESEARCH RECORD
108 experiments on Jev
Jev is an AI model made by a company called TypeSafe. Unlike a chatbot, it does not write sentences, code, or explanations. You hand it some material, such as a support ticket, a paragraph, or a record, plus a fixed set of questions with fixed possible answers, and it tells you which answer it picked, in about a tenth of a second per question.
There are three kinds of question. A Choice question picks one option from a list you supply, up to 255 options. A Score question places the material on a numbered scale you define, from 2 up to 10 levels, and its answer can land between two levels rather than exactly on one. A Noul question answers a plain yes or no question and returns a single number: the probability that the answer is yes.
Alongside its pick, Jev returns a probability for every option it was given. For Choice and Score it also returns a confidence number from 0 to 1, how sure it is, kept separate from which option it chose. A Noul has no separate confidence, because its one number already carries that meaning: near 1 is a strong yes, near 0 a strong no, near 0.5 means it cannot tell.
Jev cannot generate text, write code, or explain its reasoning. It only reads text, not images, audio, or video. It cannot chain decisions together on its own, and it cannot use one question's answer as hidden context for another question asked in the same request.
108 experiments, 38,194 API responses logged, 45,861,280 input tokens, $1.9262 at $0.042 per million.
Compiled from dependency-docs-reference/jev/notes/12-experiments on 2026-09-19.