<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Workflow on René Zander | AI Automation Consultant</title><link>https://renezander.com/tags/workflow/</link><description>Recent content in Workflow on René Zander | AI Automation Consultant</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 12 Apr 2026 14:00:00 +0200</lastBuildDate><atom:link href="https://renezander.com/tags/workflow/index.xml" rel="self" type="application/rss+xml"/><item><title>n8n AI Agent Workflow Examples: 5 Production Patterns</title><link>https://renezander.com/blog/n8n-ai-agent-workflows/</link><pubDate>Sun, 12 Apr 2026 14:00:00 +0200</pubDate><guid>https://renezander.com/blog/n8n-ai-agent-workflows/</guid><description>&lt;p>I run n8n in production for content ops, email triage, and invoice parsing. The visual canvas is not the point. The point is that triggers, retries, queues, and credentials are free, and I can hand a workflow to a non-engineer to edit prompts without them breaking the integration layer.&lt;/p>
&lt;p>This post is five n8n ai agent workflow examples I actually ship or have shipped for clients. Each one includes the node graph, the Claude prompt, the cost per run, and the production gotchas. No toy demos.&lt;/p></description></item></channel></rss>