<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multi-Agent on EnRedAndo Me - Carlos Prados</title><link>https://carlos.enredando.me/tags/multi-agent/</link><description>Recent content in Multi-Agent on EnRedAndo Me - Carlos Prados</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>mail@carlosprados.com (Carlos Prados)</managingEditor><webMaster>mail@carlosprados.com (Carlos Prados)</webMaster><copyright>© 2026 Carlos Prados</copyright><lastBuildDate>Tue, 23 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://carlos.enredando.me/tags/multi-agent/index.xml" rel="self" type="application/rss+xml"/><item><title>Mastering Agentic AI: The Multi-Agent Collaboration Pattern</title><link>https://carlos.enredando.me/posts/agentic-ai-multi-agent/</link><pubDate>Tue, 23 Jun 2026 00:00:00 +0000</pubDate><author>mail@carlosprados.com (Carlos Prados)</author><guid>https://carlos.enredando.me/posts/agentic-ai-multi-agent/</guid><description>&lt;p&gt;In the &lt;a href="https://carlos.enredando.me/posts/agentic-ai-planning/" &gt;previous post&lt;/a&gt;, Planning gave our agents the ability to decompose complex objectives into actionable steps. That&amp;rsquo;s the bridge from reacting to strategizing. But there&amp;rsquo;s still an implicit assumption underneath every pattern we&amp;rsquo;ve covered so far: one agent does the work. One LLM, one set of instructions, one persona.&lt;/p&gt;
&lt;p&gt;That assumption breaks the moment the problem genuinely spans multiple domains. A research project needs a researcher, an analyst, and a writer — each with different prompts, different tools, different ways of thinking. Stuffing all three roles into a single prompt produces mediocre versions of all three.&lt;/p&gt;</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://carlos.enredando.me/posts/agentic-ai-multi-agent/featured.jpg"/></item></channel></rss>