<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agent Orchestration on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/agent-orchestration/</link><description>Recent content in Agent Orchestration on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 17 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/agent-orchestration/index.xml" rel="self" type="application/rss+xml"/><item><title>Agent Composition and Reusable Skills: Building Modular Agents</title><link>https://ai-blog.noorshomelab.dev/aipack-guide-2026/agent-composition-reusable-skills/</link><pubDate>Sun, 17 May 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/aipack-guide-2026/agent-composition-reusable-skills/</guid><description>&lt;h2 id="from-single-agents-to-orchestrated-intelligence"&gt;From Single Agents to Orchestrated Intelligence&lt;/h2&gt;
&lt;p&gt;Imagine you have an AI agent that&amp;rsquo;s brilliant at writing code, but it struggles with debugging, or another agent that&amp;rsquo;s fantastic at summarizing documents but can&amp;rsquo;t generate new content. In the real world, complex problems rarely fit neatly into a single, isolated task. This is where &lt;strong&gt;agent composition&lt;/strong&gt; comes in – the art of combining multiple specialized AI agents to tackle larger, more intricate challenges.&lt;/p&gt;</description></item><item><title>Chapter 8: Building a Real-World Customer Support Agent (Project 1)</title><link>https://ai-blog.noorshomelab.dev/openai-cs-agents-guide-2026/08-project-customer-support/</link><pubDate>Sun, 08 Feb 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/openai-cs-agents-guide-2026/08-project-customer-support/</guid><description>&lt;h2 id="introduction-your-first-real-world-ai-agent"&gt;Introduction: Your First Real-World AI Agent!&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 8! Up until now, we&amp;rsquo;ve explored the theoretical foundations, core components, and setup of OpenAI&amp;rsquo;s open-sourced Agents SDK. We&amp;rsquo;ve discussed what makes an AI agent &amp;ldquo;agentic&amp;rdquo; and how to define its tools and persona. Now, it&amp;rsquo;s time to put all that knowledge into practice by building a fully functional, albeit simplified, customer support agent. This chapter marks a significant milestone: your first real-world project!&lt;/p&gt;</description></item><item><title>Chapter 8: Agent Orchestration &amp;amp; Multi-Agent Systems</title><link>https://ai-blog.noorshomelab.dev/applied-agentic-ai-2026-guide/agent-orchestration-multi-agent-systems/</link><pubDate>Fri, 16 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/applied-agentic-ai-2026-guide/agent-orchestration-multi-agent-systems/</guid><description>&lt;h2 id="chapter-8-agent-orchestration--multi-agent-systems"&gt;Chapter 8: Agent Orchestration &amp;amp; Multi-Agent Systems&lt;/h2&gt;
&lt;p&gt;Welcome back, future Applied AI Engineer! In previous chapters, you&amp;rsquo;ve mastered the building blocks of intelligent agents: interacting with LLMs, prompt engineering, giving agents tools, implementing RAG for external knowledge, and managing their memory. You&amp;rsquo;ve essentially built powerful &lt;em&gt;individual&lt;/em&gt; AI agents.&lt;/p&gt;
&lt;p&gt;But here&amp;rsquo;s a thought: just like a complex software project isn&amp;rsquo;t built by a single developer, many real-world AI challenges are too multifaceted for one agent to handle efficiently. This is where the magic of &lt;strong&gt;Agent Orchestration&lt;/strong&gt; and &lt;strong&gt;Multi-Agent Systems&lt;/strong&gt; comes in! Imagine a team of specialized AI agents, each an expert in its domain, working together seamlessly to solve problems that would be impossible for any single agent.&lt;/p&gt;</description></item></channel></rss>