JevForAgents中文English
Agent 与模型路由

Razedeno Jev Agent Workflow

这是 RazeDen 公开的项目资料。本站按原始来源展示项目信息,用中文说明适用场景和阅读边界;项目名、源帖与代码保持原样,便于逐项核对。

这条案例记录了什么

场景

Agent 与模型路由

根据任务状态选择一条已定义的处理路径。

证据

社区公开项目或作者演示

原始来源:Original post on X by @razeden0。作者自述,本站未独立复现。

时间与作者

RazeDen

记录日期:2026-09-21。日期与身份应以原始资料为准。

原始演示视频

视频来自此案例记录的原始媒体;播放内容和作者声明不等于本站复现。

怎样核对这个项目

  1. 先打开原始来源,确认作者、日期与 Jev 在项目中的具体用途。
  2. 如果提供仓库,再检查代码、运行要求和许可证;仓库存在不代表本站已经运行成功。
  3. 对速度、成本、准确率和规模数字,查看原文的任务、环境和计算口径。
  4. 路由候选是否完整。
  5. 模糊请求的回退分支。
  6. 完整任务成本与结果。

原始文字与技术细节

以下内容保留原语言,供核对事实。中文页的场景说明是阅读提示,不是逐句翻译或实测结论。

展开英文项目摘要与原帖

项目摘要

Grok 负责分析,Jev 用 6 个问题过滤潜在客户;作者称处理 3,412 条线索、20,472 次判断用时 15.7 秒。

来源原文

i just merge Grok 4.7 + Jev and got the smartest thing i've ever owned grok 4.7 does the thinking. jev does the deciding. together they cost less than my coffee prompt → grok bot → jev asks 6 questions → grok 4.7 opens only the good ones → campaign jev doesn't write anything. it only answers simple questions: yes or no, pick one, or a score. it can't make things up, because it can only pick from answers you allowed i gave it 3,412 leads from x, linkedin and youtube. 6 questions each is 20,472 decisions, done in 15.7 seconds for $0.41 the same reading by hand took me 6h 12m. people say 400x faster. i did the math and it's 1,421x that's $0.00012 per lead, and grok 4.7 only reads the ones worth reading the big mistake: sending everything straight to the new model. you pay the smartest thing you own to say "skip" all day setup took me 9 minutes: key in the secure field, sdk on the agent computer, one router skill, test mode first jev decides, grok bot does the work, and i still press the button on anything i can't undo everyone is talking about the new model. the cheap one deciding what it reads is where the money is

原记录的限制

  • Implementation details are based on the author's public post on X.
  • Performance figures and benchmarks are author-reported community claims.
  • Production deployments may require custom calibration and policy thresholds.

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