<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agentic AI on Eigenform Articles</title><link>https://www.eigenform.ai/insights/tags/agentic-ai/</link><description>Recent content in Agentic AI on Eigenform Articles</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Wed, 09 Sep 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://www.eigenform.ai/insights/tags/agentic-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Self-Improving AI Agent Architecture: The Four Components</title><link>https://www.eigenform.ai/insights/self-improving-ai-agent-architecture/</link><pubDate>Wed, 09 Sep 2026 00:00:00 +0800</pubDate><guid>https://www.eigenform.ai/insights/self-improving-ai-agent-architecture/</guid><description>&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;A self-improving agent architecture is the arrangement of parts that lets an agent change itself and know whether the change was an improvement. It is useful to read any such system as four components: something that acts, something that records, something that judges, and something that can undo. The last of these is the one most treatments leave implicit. The harder design problems are in the judging component, because the loop cannot be better than the signal supervising it.&lt;/p&gt;</description></item></channel></rss>