<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>AI协作 on AioGeoLab | AI 实验室</title><link>https://aiogeolab.com/tags/ai%E5%8D%8F%E4%BD%9C/</link><description>Recent content in AI协作 on AioGeoLab | AI 实验室</description><generator>Hugo -- 0.151.0</generator><language>zh</language><copyright>2026 TardiAI</copyright><lastBuildDate>Wed, 09 Sep 2026 07:19:04 +0800</lastBuildDate><atom:link href="https://aiogeolab.com/tags/ai%E5%8D%8F%E4%BD%9C/index.xml" rel="self" type="application/rss+xml"/><item><title>多个AI协同，怎么减少人工来回协调？丨ANC再认识AI协作</title><link>https://aiogeolab.com/posts/tgje-236-coordinating-ai-agents-to-complete-business-work/</link><pubDate>Wed, 09 Sep 2026 00:00:00 +0800</pubDate><guid>https://aiogeolab.com/posts/tgje-236-coordinating-ai-agents-to-complete-business-work/</guid><description>多个AI分别订机票、订酒店和安排接送，员工为什么还要逐项催问、来回传话？本文用一笔团体出行的抵达安排，说明怎样明确持续推进整件事的承担者，区分接下任务与实际落实，并在航班变化后推动相关安排重新确认。这些协作职责可以在建设之初设计，也可以用于改进已有AI分工。</description></item></channel></rss>