Two measured studies and two running indexes of what is built on Jev, TypeSafe AI's typed-decision model.
A typed-decision model wired into five places in a Dungeons & Dragons co-DM, measured on four benchmarks (table rules, routing, contradictions, asset kinds) against the code it replaced, a frontier model called as a classifier, and Laya, the open-weight model marketed as its replacement.
Six arms on 8,916 skill-selection decisions each (743 skills across 12 job postings), plus 240 of the hardest pairs adjudicated twice: Jev, GLM-5.3-flash, Haiku 4.5, two embedding arms, a substring matcher, and Laya.
Tools, demos and findings from the TypeSafe Discord, GitHub and X, each scored 1 to 5 and tagged; searchable by text, tag, source, score and repository stars.
Named products and companies running Jev in production, each with a professional-usefulness score and its source, and a weekly highlight.