你的 AI 代理需要一个组织结构图 — 但不是你想的那种
📄 中文摘要
一位独立创始人在其小型医疗 SaaS 中决定全面采用 AI 代理,组建了一个团队,包括用于修复错误和功能开发的编码代理、监控服务器的运维代理,以及负责市场推广的代理。每个代理在独立工作时表现出色,但当它们一起工作时却出现了问题。市场推广代理在网站上发布了一个功能比较表,包含了尚未开发的两个功能,而编码代理则在重构身份验证中间件时未通知运维代理,导致运维代理将此部署标记为重大变更,并在凌晨 2 点向创始人发送了警报。
📄 English Summary
Your AI Agents Need an Org Chart — But Not the Kind You Think
A solo founder of a small healthcare SaaS decided to fully embrace AI agents, forming a team that includes a coding agent for bug fixes and feature development, an ops agent monitoring the server, and a go-to-market agent drafting landing page copy and conducting competitor research. Each agent performed beautifully in isolation, but issues arose when they worked together. The go-to-market agent published a feature comparison table on the website that included two features that had not yet been built, while the coding agent was busy refactoring authentication middleware without informing the ops agent, which flagged the deployment as a breaking change and sent a 2 AM alert to the founder.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等