<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLM APIs on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/llm-apis/</link><description>Recent content in LLM APIs on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 16 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/llm-apis/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 15: Hands-On Project: Developing an Autonomous Workflow Agent</title><link>https://ai-blog.noorshomelab.dev/applied-agentic-ai-2026-guide/project-autonomous-workflow/</link><pubDate>Fri, 16 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/applied-agentic-ai-2026-guide/project-autonomous-workflow/</guid><description>&lt;h2 id="chapter-15-hands-on-project-developing-an-autonomous-workflow-agent"&gt;Chapter 15: Hands-On Project: Developing an Autonomous Workflow Agent&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 15! We&amp;rsquo;ve journeyed through foundational programming, LLM mechanics, prompt engineering, tool use, RAG, and memory management. Now, it&amp;rsquo;s time to bring these powerful concepts together to build something truly exciting: an &lt;strong&gt;Autonomous Workflow Agent&lt;/strong&gt;. This project will be a significant step in your journey toward becoming a professional Applied AI Engineer.&lt;/p&gt;
&lt;p&gt;In this hands-on chapter, you&amp;rsquo;ll learn to design, implement, and orchestrate a multi-agent system capable of performing a complex task with minimal human intervention. We&amp;rsquo;ll focus on creating an agent that can intelligently plan, execute steps using various tools, and even collaborate with other agents to achieve its goals. This is where the magic of &amp;ldquo;agentic AI&amp;rdquo; really shines, transforming theoretical knowledge into practical, problem-solving applications.&lt;/p&gt;</description></item></channel></rss>