<p>The key difference in AI agents vs automation is control. Automation executes a path that people define in advance. An AI agent receives a goal, evaluates context, selects
<p>What three independent research groups concluded in early 2026 — and what it means for anyone building agent pipelines today</p> <p>In the first quarter of 2026, at least three
<!-- SC_OFF --><div class="md"><p>Feels like a lot of what people call “AI agents” are just structured prompt chains with better branding.</p> <p>If it’s a fixed sequence of steps
<h2> From Theory to Reality </h2> <p>So far, you’ve learned <strong>what agents are, how they think, and when to use them.</strong></p> <p>Now comes the turning point:</p>
<p>I was sitting in a demo from the head of architecture when the problem clicked into focus. He was showing how his team had moved everything out of Confluence and into Markdown
<h2> 0.1 How Should We Think About AI Agents? </h2> <p><a class="article-body-image-wrapper"
<p>On March 31, 2026, Anthropic accidentally shipped the entire source code of Claude Code — its flagship AI coding agent — inside a routine npm update. No hack. No reverse
<p>An AI agent looks like magic in a demo and like plumbing in production. Underneath the branding, it is a loop: the model observes the current state, plans a next step, calls a
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