
CRYPTOFANZ๐๐ on X: ๐๐ฒ๐ ๐๐ ๐ง๐๐ฟ๐ป๐ถ๐ป๐ด ๐๐ ๐๐ป๐๐ผ ๐ ๐ฆ๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ๐ฑ ๐๐ฒ๐ฐ๐ถ๐๐ถ๐ผ๏ฟฝ๏ฟฝ๏ฟฝ
๐๐ฒ๐ ๐๐ ๐ง๐๐ฟ๐ป๐ถ๐ป๐ด ๐๐ ๐๐ป๐๐ผ ๐ ๐ฆ๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ๐ฑ ๐๐ฒ๐ฐ๐ถ๐๐ถ๐ผ๐ป ๐๐ฎ๐๐ฒ๐ฟ โก As the first System One model launched by @typesafeai, Jev is designed for software that needs AI to make fast, structured decisionsโnot generate paragraphs of text. Traditional workflow: Prompt โ Text โ Parsing โ Validation โ Application Logic Jev takes a more direct route: Application State โ Typed Question โ Typed Decision No JSON prompting. No complex output parsing. Just typed decisions that applications can use directly, along with probability and confidence. Jev supports three decision patterns: ๐น Choice โ Select from predefined options ๐น Score โ Evaluate using a defined scoring framework ๐น Noul โ Handle structured decision problems built around application logic Speed is another key feature, with response times designed around roughly 70โ500ms. Its pricing is also aimed at high-frequency inference: ๐ฐ $0.042 per million input tokens ๐ Output tokens free Potential use cases include: ๐ซ Ticket routing ๐ก๏ธ Content moderation ๐ Risk scoring ๐ค Agent branching and workflow decisions The bigger idea is simple: AI doesn't always need to write something for a human to read. Sometimes, software just needs a fast, reliable decision. That makes models like Jev an interesting direction for AI agents, automation, and real-time application infrastructure. Available through the http://B.AI API as: Jev-1.13.0 Jev-Latest ๐ http://chat.b.ai/chat @justinsuntron @BAI_AGI #TRONEcoStar #AI #Agents #B_AI โค๏ธ 0 likes on X
Markdown for your README:
[](https://jevpicks.com/build/cryptofanz-on-x)