❯ TypeSafe’s Jev is adopted by Vercel and Cloudflare in three days at two orders of magnitude less cost

fast adoptionTypeSafe AI’s Jev was integrated by Vercel, Cloudflare and two others within three days of release, with Vercel calling it the fastest-adopted model in its AI Gateway’s history, per Forbes. Jev is not a chat model but a so-called “System One” model: it returns typed, calibrated structured decisions rather than a block of text.

the comparisonOn TypeSafe’s published workflow evals across security alerts, agent review, invoice processing and customer service, Jev agrees with the averaged answers of GPT-6 Astra and Claude Fable 5.1 at 67.8%, level with GPT-5.6 Terra and Claude Sonnet 5. The gap is elsewhere: Sonnet 5 reaches the same score at 293x the cost per case and 195x the latency. Until now this kind of structured judgment had to be handled by a flagship model on the side.

tiered selectionWhat this changes is how model selection is tiered. Deciding “should this alert escalate” or “is this invoice correct” used to mean calling a flagship model, with cost and latency priced at the most expensive tier; routing decision calls to a small, deterministic model leaves flagships for work that genuinely requires generation. Teams building agent orchestration now have to measure what share of total calls are decisions — the higher that share, the closer the savings get to two orders of magnitude.

▪ SIGNALSame score, one two-hundredth the latency — the most expensive calls inside an agent may not need a flagship model at all.