我的 AI 团队天天加班,直到我让他们自己开会
3 个人类 + 7 个 AI 代理,如何不开会还能天天同步?5 个的血泪教训
系统设计决策、经验教训,以及在生产环境中运行 AI 代理的硬核 insights。
3 个人类 + 7 个 AI 代理,如何不开会还能天天同步?5 个的血泪教训
一个无人值守的 AI 团队,是怎么做到的?
How we designed a system of 5 AI agents that work together autonomously, with persistent memory and human oversight when needed.
A single agent tries to do everything. Five specialized agents with clear roles create better outcomes and easier debugging.
How we solved context window limits by building a persistent memory layer that survives model restarts.
Not every decision should be automated. Here is our framework for knowing when to let humans in the loop.
Prompts are fragile. Building agents requires a different mental model—thinking about state machines, not just text.
Running 5 agents 24/7 gets expensive. Here are the strategies we use to keep costs manageable without sacrificing capability.
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