TypeSafe releases Jev, a decision model that does not generate text
Jev takes state and typed questions and returns branchable decisions with probabilities through three primitives, Choice, Score and Noul, and is listed on Vercel AI Gateway.
TypeSafe AI released Jev, a model from an RLHF (reinforcement learning from human feedback) co-inventor that does not generate text. You send it state and typed questions. It returns decisions with probabilities your code can branch on, so there is nothing to parse. - Founder Diogo Almeida co-invented RLHF at OpenAI - $40M seed round led by DCVC - 3 primitives: Choice, Score, Noul - Every question in a request scored in parallel - $0.042 per 1M input tokens, output tokens free - 70ms to 500ms end to end, vendor reported - 0.114s vs 8.566s in TypeSafe's own recorded demo - Vercel: up to 18x faster than GPT Luna, p95 - Listed on Vercel AI Gateway as typesafe-ai/jev Confidence is the product. Your code sets the threshold where automation stops and a human takes over. The 193.6x faster and 444.6x cheaper claims come from TypeSafe's own evals, not independent tests. Read the full analysis: https://www.marktechpost.com/2026/09/19/typesafe-ai-releases-jev/ Technical details: https://typesafe.ai/blog/introducing-system-one-models-and-jev Join the waitlist: https://typesafe.ai/ @typesafeai