<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Autonomous Systems on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/autonomous-systems/</link><description>Recent content in Autonomous Systems on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 20 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/autonomous-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>Unlocking Autonomous Systems: What are Agentic AI Agents?</title><link>https://ai-blog.noorshomelab.dev/agentic-ai-guide-2026/introduction-to-agentic-ai/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/agentic-ai-guide-2026/introduction-to-agentic-ai/</guid><description>&lt;h2 id="introduction-welcome-to-the-age-of-autonomous-ai"&gt;Introduction: Welcome to the Age of Autonomous AI!&lt;/h2&gt;
&lt;p&gt;Welcome, intrepid learner, to the fascinating and rapidly evolving world of Agentic AI Systems! If you&amp;rsquo;ve been captivated by the potential of Artificial Intelligence, especially Large Language Models (LLMs), get ready to take the next big leap. We&amp;rsquo;re moving beyond simple chatbots and single-turn interactions towards systems that can &lt;em&gt;think&lt;/em&gt;, &lt;em&gt;plan&lt;/em&gt;, &lt;em&gt;act&lt;/em&gt;, and &lt;em&gt;adapt&lt;/em&gt; to achieve complex goals, much like a human expert would.&lt;/p&gt;</description></item><item><title>Building Your First Agent: A Hands-On Autonomous System Project</title><link>https://ai-blog.noorshomelab.dev/agentic-ai-guide-2026/building-autonomous-agent-project/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/agentic-ai-guide-2026/building-autonomous-agent-project/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Welcome, aspiring agent builder! In this chapter, we&amp;rsquo;re moving from theory to practice. You&amp;rsquo;ve explored the fascinating world of autonomous AI agents, delving into their core components like planning, reasoning, tool usage, and memory systems. Now, it&amp;rsquo;s time to get your hands dirty and build your very first functional AI agent.&lt;/p&gt;
&lt;p&gt;Our goal for this chapter is to construct a simple, yet powerful, &amp;ldquo;research assistant&amp;rdquo; agent. This agent will be capable of understanding a query, deciding if it needs external information, using a web search tool to find that information, and then synthesizing a coherent answer. This project will solidify your understanding of how these theoretical concepts translate into practical code, boosting your confidence in designing and implementing your own intelligent systems.&lt;/p&gt;</description></item><item><title>Chapter 6: Planning</title><link>https://ai-blog.noorshomelab.dev/agentic-design-patern-ebook/chapters/planning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/agentic-design-patern-ebook/chapters/planning/</guid><description>&lt;h1 id="chapter-6-planning"&gt;Chapter 6: Planning&lt;/h1&gt;
&lt;p&gt;Intelligent behavior often involves more than just reacting to the immediate input. It requires foresight, breaking down complex tasks into smaller, manageable steps, and strategizing how to achieve a desired outcome. This is where the Planning pattern comes into play. At its core, planning is the ability for an agent or a system of agents to formulate a sequence of actions to move from an initial state towards a goal state.&lt;/p&gt;</description></item></channel></rss>