<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Guides on René Zander | AI Automation Consultant</title><link>https://renezander.com/guides/</link><description>Recent content in Guides on René Zander | AI Automation Consultant</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 11 Apr 2026 07:00:00 +0000</lastBuildDate><atom:link href="https://renezander.com/guides/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Agents: Build vs Buy (2026 Decision Framework)</title><link>https://renezander.com/guides/ai-agents-build-vs-buy/</link><pubDate>Sat, 11 Apr 2026 07:00:00 +0000</pubDate><guid>https://renezander.com/guides/ai-agents-build-vs-buy/</guid><description>&lt;p>Every week, a client asks me some version of this question: &amp;ldquo;Should we build our own AI agent or just use [product]?&amp;rdquo;&lt;/p>
&lt;p>The answer is never simple, but after building custom AI agent systems for production use, I have a clear framework for when each path makes sense.&lt;/p>
&lt;h2 id="what-is-an-ai-agent-not-what-you-think">What Is an AI Agent? (Not What You Think)&lt;/h2>
&lt;p>Most businesses asking about AI agents want one of three things:&lt;/p>
&lt;p>&lt;strong>1. An AI chatbot&lt;/strong> that answers questions about their product, knowledge base, or internal docs. This is the most common request. It is also the one most likely to be solved by buying, not building.&lt;/p></description></item><item><title>Claude API vs OpenAI API for Business Automation (2026 Comparison)</title><link>https://renezander.com/guides/claude-api-vs-openai-business-automation/</link><pubDate>Sat, 11 Apr 2026 07:00:00 +0000</pubDate><guid>https://renezander.com/guides/claude-api-vs-openai-business-automation/</guid><description>&lt;p>I integrate LLM APIs into business automation systems. Content pipelines, document processing, customer communication flows, data enrichment. Not chatbots. Production systems that run unattended and need to work every time.&lt;/p>
&lt;p>From that angle, here is how Claude and OpenAI actually compare.&lt;/p>
&lt;h2 id="the-short-version">The Short Version&lt;/h2>
&lt;p>OpenAI has the ecosystem. Claude has the output quality. Both work. Your choice depends on what you are building and what failure mode you can tolerate.&lt;/p></description></item><item><title>Make.com vs n8n: Which One Survives Production in 2026?</title><link>https://renezander.com/guides/makecom-vs-n8n-production-workloads/</link><pubDate>Sat, 11 Apr 2026 07:00:00 +0000</pubDate><guid>https://renezander.com/guides/makecom-vs-n8n-production-workloads/</guid><description>&lt;p>Most comparison articles list features side by side and call it a day. This is not that article.&lt;/p>
&lt;p>I run both Make.com and n8n in production for clients. Content pipelines, data enrichment flows, CRM sync jobs, AI agent orchestration. Some of these run thousands of executions per week. Here is what actually matters when you move past the tutorial phase.&lt;/p>
&lt;h2 id="makecom-vs-n8n-the-core-difference">Make.com vs n8n: The Core Difference&lt;/h2>
&lt;p>Make.com is a managed platform. n8n is infrastructure you own.&lt;/p></description></item></channel></rss>