Jev launches: a System One model for decisions
TypeSafe founder Diogo Almeida introduces Jev, its RLCD training method, and its focus on software decisions. The post includes a 2:56 launch video.

TypeSafe plans to unveil Jev on Monday. Jev does not generate text; it only returns answers from the schema based on state and typed questions, taking 70-500ms. Input costs $0.042/M tokens, output is free, and access is waitlist-based. Demos include Mario, real-time levels, and color selection. It cannot return content outside the schema.
3/ TypeSafe周一公开Jev。Diogo Almeida自称参与发明ChatGPT,并花两年研究另一种训练方法。 Jev不生成文本。给它状态和类型化问题,它只从schema返回答案;耗时70~500毫秒,输入$0.042/M token,输出免费,需候补。 演示包括Mario、实时关卡和选色。它无法返回schema外的内容,无需再解析或校验。