<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>cognitive architecture on carney.wiki</title><link>https://carney.wiki/tags/cognitive-architecture/</link><description>Recent content in cognitive architecture on carney.wiki</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Mon, 01 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://carney.wiki/tags/cognitive-architecture/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Agents Need More Than a Semantic Layer</title><link>https://carney.wiki/blog/ai-agents-need-more-than-semantic-layer/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate><guid>https://carney.wiki/blog/ai-agents-need-more-than-semantic-layer/</guid><description>A semantic layer is not an AI strategy.
It is one important part of one.
That distinction matters because a lot of companies are still treating AI like a smarter search box. They connect a model to documents, databases, dashboards, SaaS tools, or internal knowledge bases and expect useful work to fall out the other side.
Sometimes it does.
More often, the model gives a plausible answer, misses the business logic, forgets the prior context, or takes an action without understanding how the work is actually supposed to get done.</description></item></channel></rss>