<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI &amp; Automation on Miguel Côrte</title><link>http://mcorte.com/categories/ai--automation/</link><description>Recent content in AI &amp; Automation on Miguel Côrte</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 Miguel Côrte</copyright><lastBuildDate>Wed, 08 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="http://mcorte.com/categories/ai--automation/index.xml" rel="self" type="application/rss+xml"/><item><title>Building AI Agents That Actually Work: Why Foundation Matters More Than Features</title><link>http://mcorte.com/posts/building-ai-agents-that-actually-work/</link><pubDate>Wed, 08 Apr 2026 00:00:00 +0000</pubDate><guid>http://mcorte.com/posts/building-ai-agents-that-actually-work/</guid><description>&lt;p>The AI agent hype cycle is in full swing. Every vendor promises autonomous systems that will revolutionize your business. Most will fail - not because the technology isn&amp;rsquo;t ready, but because organizations are building on sand instead of rock.&lt;/p>
&lt;p>After leading automation initiatives and implementing multi-agent systems in production environments, I&amp;rsquo;ve learned a hard truth: &lt;strong>the organizations that succeed with AI agents aren&amp;rsquo;t the ones with the fanciest models. They&amp;rsquo;re the ones who did the boring work first.&lt;/strong>&lt;/p></description></item></channel></rss>