Large language models were built to talk to people. Jev is built to be called by machines. You give it some context and the exact questions you need answered, and it replies with structured values instead of prose. Because the shape of the answer is fixed by your request, Jev cannot hallucinate a format or emit an invalid type — it can only return one of the options you defined, a score on the scale you gave it, or a probability between 0 and 1.
What is Jev? TypeSafe’s System One model explained · Jev by TypeSafe AI
Could be interesting to experiment with this in any of our rubrics but particularly thinking of rubrics for scoring bits of code that could be shared in a marketplace setting.