我继续用 JEV 和 DeepSeek 跑了同一个任务：模拟企业真实海量收件箱，把 300 封乱七八糟的来信（商务采购、线上故障、合规法务、推销垃圾），实时分流到 15…
This is a AI post classified by Jev as AI agents (a tool drop), kept by the AI Radar because it carries real work, not commentary.
谁还质疑JEV没用？实测JEV真实的应用场景 我继续用 JEV 和 DeepSeek 跑了同一个任务：模拟企业真实海量收件箱，把 300 封乱七八糟的来信（商务采购、线上故障、合规法务、推销垃圾），实时分流到 15 个业务部门，并打上意图标签 左边：TypeSafe Jev（jev-latest） 右边：DeepSeek（deepseek-v4.1-flash） 实测结果： • Jev 9.9秒完成了任务，300 封杂乱的邮件全部按 15 个部门发牌入槽，总共只花了 $0.036 • DeepSeek 相同时间才堪堪读完 10 封，右边牌桌几乎还是空的，速度相差近 30 倍 说句实话，Jev 的价值被很多人看偏了，它就不是用来聊天写文章的，它的真正统治区，全在那些【高实时性、只要确定性结果】的场景，比如：量化交易， 社交APP风控审核，设备监控，工单分流，浏览器自动化 Agent等等 这些场景的共同点是：只要毫秒级给结论，容不得半句废话 把 Jev 这种快反射模型放在最前面做发牌，才算把 Agent 真正用对了地方🫡
Posted by 梭哈.AI (32.7k followers) 15 h ago · 80 likes · 28.8k views · view the original post on X. Kept by the AI Radar as AI agents. Tools mentioned: newsjack.
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Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 31.3k posts from 4.7k X accounts over the last 14 days, 1.3k tools, 19 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-19 21:10 UTC. Full method.