Jev is now open to everyone: what a "System One" model costs, and how to start with $5 in free credit

TypeSafe removed the waitlist for its Jev model on Sep 20, opening registration with $5 in free credit (roughly 120 million tokens). Jev returns typed decisions — Choice, Score, and Noul — with calibrated confidence rather than generated text, priced at $0.042 per million input tokens with output free. The writeup details access paths through the direct console, Vercel AI Gateway, and Cloudflare Workers AI, and corrects launch-week claims that OpenRouter listed the model.

Intro: Jev launched Sep 15 and drew a 140k waitlist in days. On Sep 20 TypeSafe removed the waitlist entirely — open registration with $5 in free credit ~120M tokens . This post covers what Jev actually is, what it costs, and the fastest way to start. Section 1 — What Jev is: Not a text generator. Returns typed decisions — Choice up to 255 options , Score, Noul yes/no probability — each with calibrated confidence. 64K context, read-only. "Zero hallucination" = schema guarantee, not correctness guarantee — understand this distinction before building. Section 2 — The cost model: $0.042/MTok input, output free, ~$0.000081 per decision. $5 credit ≈ 120M tokens ≈ enough to prototype seriously. Worked example: 1,018 papers classified for $0.08. Comparison table vs LLM-based classification. Caveat: vendor says it can't prove the price isn't subsidized — treat it as today's price. Section 3 — Access paths with the correction : Direct console open now, $5 credit / Vercel AI Gateway typesafe-ai/jev / Cloudflare Workers AI typesafe/jev, 32K context . Note: launch-week posts claimed OpenRouter listed Jev — it doesn't. Verify against a provider's own model list. Section 4 — What to build first: three starter workflows — ticket triage, lead scoring, RAG filtering — each with the decision boundary explained classification not prediction, atomic questions not compound ones . Section 5 — When NOT to use it: anything generative, prediction, compound reasoning. Hybrid architecture: LLM generates → Jev decides. Ending: "I maintain an independent tracker at JEV https://jev-ai.live/ snapshots, daily news, a cost calculator, and a ranked directory of the community projects built on Jev."