Event ·Multi-source

Hamel Husain 与 Shreya Shankar 发布进阶版 Evals 构建指南

Lenny Rachitsky 联合 Hamel Husain 与 Shreya Shankar 发布进阶教程《Building eval systems that improve your AI product》续篇。两人基于与 50 多家 AI 公司的合作经验,讲解多数团队会跳过的关键步骤、哪些环节该自动化哪些不该。文中提到 Ramp 借助 evals 将自动收据识别准确率从 35% 提升到 83%,Shopify 的 AI workflow builder 比原前沿模型方案快 2.2 倍、成本低 68%。Harvey 重构 AI 合同审查后内部质量分接近翻倍,Cursor 调优 Auto Balance 路由后在成本降低 41% 的同时提升用户满意度。教程还附带一个免费插件,可让 coding agent 承担大部分工作量。

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25 个 PM 岗位近一半要求会写 evals,这篇续篇教你哪些步骤别跳过,还带免费插件让 agent 干活

11 sources73° AI heatLast updated 2026/9/23 03:12:25

Evidence

11 sources
Related source 1Lenny Rachitsky
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Related source 2Hamel Husain
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Related source 4eric zakariasson
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Related source 5shao__meng
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Related source 7Fish Audio
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Related source 10CoreWeave
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Dedup data only shows that these sources discuss the same event, not that they agree. There is no structured supporting or refuting evidence yet, so no conflict is inferred automatically.