Rolewise Resume Matching
这是 Zhilin Wang 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
Agent 评估、Agent 与模型路由
为已记录的输出或轨迹提供分类、分数或复核信号。
社区公开项目或作者演示
原始来源：Original X post and live demo。作者自述，本站未独立复现。
Zhilin Wang
记录日期：2026-09-20。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
- 先打开原始来源，确认作者、日期与 Jev 在项目中的具体用途。
- 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。
- 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。
- 是否有可观察的正确答案。
- 评估输入是否完整。
- 分数与人工复核的一致性。
- 路由候选是否完整。
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
Rolewise retrieves job descriptions, sends each resume–job pair to Jev, and asks for one suitability decision; the author reports 838 evaluations in 61.3 seconds with 20 requests in flight.
来源原文
Spent some time testing #Jev from @typesafeai on a use case I care about: matching a resume against real job descriptions. I built a small demo called Rolewise. @metix_ai handles job retrieval; Jev handles the fit decision. The setup: - Parse the resume and generate editable search filters. - Retrieve jobs and full descriptions through the Metix AI API. - Send each resume–JD pair to Jev, with 20 requests in flight. - Ask for one decision: suitable or not suitable. One run: 838 jobs evaluated in 61.3 seconds. That excludes parsing and retrieval. I started with multiple scoring dimensions, then simplified the task to a single fit decision. For this demo, I wanted to see whether Jev could help someone narrow a list of opportunities without adding another scoring system to interpret. The recording shows actual requests completing—no simulated progress. Retrieval and evaluation are separate steps, so you can inspect the jobs before running Jev. This is a throughput result, not an accuracy benchmark. I haven’t established how reliably those decisions agree with a human reviewer yet. That’s the next thing I’d test, especially on borderline cases. Sharing this as a concrete Jev example. If you’re building something similar, I’d be curious how you’re defining “fit” and checking the results. Job data/API: https://platform.metix.ai
原记录的限制
- No human-agreement or accuracy result was reported in the reviewed post.
- Resume and job data can contain sensitive personal information and needs appropriate handling.
- The cited throughput should not be generalized to a different retrieval provider or concurrency level.