<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Generative-Ai-Tools on Eric Irwin</title><link>http://ericirwin.io/tags/generative-ai-tools/</link><description>Recent content in Generative-Ai-Tools on Eric Irwin</description><generator>Hugo</generator><language>en-us</language><managingEditor>Eric.Irwin@gmail.com (Eric Irwin)</managingEditor><webMaster>Eric.Irwin@gmail.com (Eric Irwin)</webMaster><lastBuildDate>Thu, 27 Nov 2025 00:00:00 +0000</lastBuildDate><atom:link href="http://ericirwin.io/tags/generative-ai-tools/index.xml" rel="self" type="application/rss+xml"/><item><title>The Real Bottleneck in AI Isn't the Model — It's Our Communication</title><link>http://ericirwin.io/posts/the-real-bottleneck-in-ai-isnt-the-model/</link><pubDate>Thu, 27 Nov 2025 00:00:00 +0000</pubDate><author>Eric.Irwin@gmail.com (Eric Irwin)</author><guid>http://ericirwin.io/posts/the-real-bottleneck-in-ai-isnt-the-model/</guid><description>&lt;p&gt;We&amp;rsquo;re living through one of the fastest paradigm shifts in modern computing. Tools are getting better, models are getting smarter, and the ecosystem is moving from prompt engineering toward something far more powerful: context engineering.&lt;/p&gt;
&lt;p&gt;But even as the tooling evolves quickly it is clear that some people get extraordinary results out of AI tools&amp;hellip; and others get diminishing returns.&lt;/p&gt;
&lt;p&gt;And when you peel the layers back, the reason is surprisingly human. It&amp;rsquo;s almost always about how effectively they communicate with the machine and how unnatural that still feels for most of us.&lt;/p&gt;</description></item></channel></rss>