@rohanpaul_ai explains the Jev launch: a model for software decisions rather than text, returning a typed choice or score with probabilities instead of token-by-token generation. The example is a support app asking whether a ticket is urgent, whether it violates policy, and which queue should get it. They cite TypeSafe figures of 20–200x faster, 40–400x cheaper with free output tokens, and 70–500ms responses.

Rohan Paul (@rohanpaul_ai) published this on 2026-09-15. @rohanpaul_ai explains the Jev launch: a model for software decisions rather than text, returning a typed choice or score with probabilities instead of token-by-token generation. The example is a support app asking whether a ticket is urgent, whether it violates policy, and which queue should get it. They cite TypeSafe figures of 20–200x faster, 40–400x cheaper with free output tokens, and 70–500ms responses. Another brilliant launch for developers: and its 20-200x faster than LLMs because it skips token-by-token generation entirely. How Jev or TypeSafe is used, in the post's own words: “TypeSafe AI just launched Jev, > 20-200x faster >40-400x cheaper (w/ output tokens free) > Frontier composable intelligence optimized for decisions So Jev is an AI model built to make software decisions instead of writing text for people.” The post does not name a separate audience. It is for people reading what @rohanpaul_ai shows here (it quotes @CompleteSkeptic; it includes media).