<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI on Mike Harmon</title><link>https://michael-harmon.com/tags/ai/</link><description>Recent content in AI on Mike Harmon</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 26 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://michael-harmon.com/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Agents, Tools, MCPs and All That: Part 1</title><link>https://michael-harmon.com/posts/mcp1/</link><pubDate>Wed, 26 Aug 2026 00:00:00 +0000</pubDate><guid>https://michael-harmon.com/posts/mcp1/</guid><description>&lt;h1 id="agents-tools-mcps-and-all-that">
 Agents, Tools, MCPs and All That
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 1. Introduction
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&lt;p>It&amp;rsquo;s been a while since I posted. With my family commitments, writing is harder, but it&amp;rsquo;s never been easier to work with LLMs and AI! The biggest developments in the past year or two have been agents and agentic AI applications. To be honest, I&amp;rsquo;ve always been a bit skeptical about agents and AI. In science we are taught to be skeptical, as Feynman said, &lt;a href="http://brainyquote.com/quotes/richard_p_feynman_137642" class="external-link" target="_blank" rel="noopener">&amp;ldquo;The first principle is that you must not fool yourself—and you are the easiest person to fool.&amp;rdquo;&lt;/a> However, over the last two years I&amp;rsquo;ve become an AI engineer and fully embraced AI.&lt;/p></description></item></channel></rss>