𝗝𝗲𝘃 𝗜𝘀 𝗡𝗼𝘄 𝗟𝗶𝘃𝗲 𝗼𝗻 𝗕.𝗔𝗜 𝗔𝗣𝗜: 𝗔 𝗡𝗲𝘄 𝗪𝗮𝘆 𝗧𝗼 𝗠𝗮𝗸𝗲 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 ⚡

𝗝𝗲𝘃 𝗜𝘀 𝗡𝗼𝘄 𝗟𝗶𝘃𝗲 𝗼𝗻 𝗕.𝗔𝗜 𝗔𝗣𝗜: 𝗔 𝗡𝗲𝘄 𝗪𝗮𝘆 𝗧𝗼 𝗠𝗮𝗸𝗲 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 ⚡ Most AI APIs are designed to generate something. Text. Code. JSON. A response. Jev takes a different approach. From @typesafeai, Jev is a System One model designed specifically for structured decisions inside software. Instead of asking it to generate text and then parsing the result, developers provide: 🔹 App state — the information the system needs 🔹 A typed question — what decision needs to be made 🔹 A typed result — the decision, probability and confidence No JSON prompting. No fragile output parsing. Just a structured decision that software can use directly. 🧠 What Can Jev Decide? Jev evaluates three question types in parallel: Choice → Select between predefined options. Score → Produce a structured numerical assessment. Noul → Make a structured binary-style decision. That makes the model less about generating content and more about becoming a decision layer inside an application. ⚡ Built For Fast Decisions According to the announcement, Jev responds in roughly 70–500ms and costs $0.042 per million input tokens, with output tokens free. That pricing and latency profile makes the model particularly interesting for workloads where thousands of small decisions can happen continuously. Think: 🔹 Ticket routing 🔹 Content moderation 🔹 Risk scoring 🔹 Agent branching 🔹 Automated workflow decisions 🔹 Classification inside software Instead of building a pipeline around: Prompt → Generated JSON → Parser → Validation → Application the idea is closer to: App State → Typed Question → Typed Decision That is a meaningful architectural difference. 🔌 Now Available Through https://t.co/9CKQIEP2Jz Jev is now available through the https://t.co/9CKQIEP2Jz API using: Jev-1.13.0 Jev-Latest For developers, this adds another specialized model to the https://t.co/9CKQIEP2Jz ecosystem—one designed not primarily to talk, but to help software decide. 👉 Try it through https://t.co/9CKQIEP2Jz: https://t.co/IE5evqOJKL 🔗 Learn more: https://t.co/7bQibRC3KN The interesting part of AI infrastructure is increasingly not just how well models generate. It's how cleanly models can plug into software and perform a specific job. #TRONEcoStar @justinsuntron @BAI_AGI