Jev 免费开放：把 AI 当函数调用
演示用 Jev 对邮件做团队分类、兴奋度打分和热线索判断，一次返回带置信度的类型化决策，70–500ms。
Jev is now free for all 🕺 Here's what it actually means. AI models read your text and write text back. Then your code has to parse that text and hope it's in the right shape. Jev skips that. It reads plain text or JSON, but it never writes a paragraph. It answers with typed decisions your code can use directly. Say you are building an email agent and this lands in the inbox: "Loved the demo! Can you send pricing? We want to start next week." You give it to Jev and ask: – Which team should get this? (a choice) – How excited is this person, 0 to 10? (a score) – Is this a hot lead? (yes/no with a probability) It answers all of it in one go, in about 70 to 500 milliseconds, with a confidence level on every answer. So your code can act when it's sure and send it to a human when it's not. Think of it as an AI you call like a function, not one you chat with. Super cheap: input costs $0.042 per million tokens. Output is free.
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