LLMDevelopmentTopC
Jev: TypeSafe's first System One Model types decisions and prices them two orders of magnitude lower
TypeSafe's first System One Model: outputs are type-safe structured values under three question primitives (Noul/Choice/Score) rather than strings, trained with RLCD for calibrated decision probabilities. The official 13-question parallel experiment makes one synthesized call ~12.2x cheaper and ~10.0x faster than 13 separate calls; four-workflow mean accuracy 67.8% at /tmp/run_ingest2.sh.0004 and 0.4s per instance - opus 5 / sol tier accuracy at almost two orders of magnitude less cost; input $0.042/M tokens, output free. Ships an OpenJev local reproduction path and an eight-item caveats list.
67.8%Mean accuracy across four workflows (vendor eval)Vendor Claim · 2026-09
Jev: TypeSafe's first System One Model types decisions and prices them two orders of magnitude lower
