Jev versus text-generating models
Jev does not generate free-form text. A side-by-side video compares parallel decision-making with token-by-token text generation.

Splitting one vague question into five smaller ones lifts accuracy from 62.6% to 95.0% with the same model. Jev chooses among allowed answers, outperforming Haiku 4.5 when asked granular questions.
ONE BIG QUESTION: 62.6% ACCURATE. FIVE SMALL ONES: 95.0%. SAME MODEL. the whole lesson of this article is in that jump. jev doesn't write. it only picks from answers you allow. ask it one vague question per email and it guesses. split it into 5 small ones and it beats haiku 4.5