<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Make on René Zander | AI Automation Consultant</title><link>https://renezander.com/tags/make/</link><description>Recent content in Make on René Zander | AI Automation Consultant</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 14 Apr 2026 08:00:00 +0200</lastBuildDate><atom:link href="https://renezander.com/tags/make/index.xml" rel="self" type="application/rss+xml"/><item><title>Zapier vs Make vs n8n Pricing at Scale (2026)</title><link>https://renezander.com/guides/automation-platform-pricing-explained/</link><pubDate>Tue, 14 Apr 2026 08:00:00 +0200</pubDate><guid>https://renezander.com/guides/automation-platform-pricing-explained/</guid><description>&lt;p&gt;Every automation platform counts usage differently, and that is not an accident. Zapier charges per task, Make.com charges per operation, n8n charges per execution. Those three words look interchangeable on a pricing page. They are not. The same workflow can cost $208 on Zapier, $20 on Make, or the price of a VPS on self-hosted n8n.&lt;/p&gt;
&lt;p&gt;This guide is a practitioner walkthrough of how each platform counts, where the hidden costs hide, and which platform actually wins at each volume band. I run production workflows on Make and n8n for my own products (Teedian, a content operations engine), so the examples below reflect real wiring, not marketing math.&lt;/p&gt;</description></item><item><title>Migrate Zapier to Make: A Practitioner's Migration Guide (2026)</title><link>https://renezander.com/blog/migrate-zapier-to-make/</link><pubDate>Wed, 08 Apr 2026 11:00:00 +0200</pubDate><guid>https://renezander.com/blog/migrate-zapier-to-make/</guid><description>&lt;p&gt;I&amp;rsquo;ve migrated several client workflows from Zapier to Make.com over the last two years, mostly running Teedian content pipelines where the branching and iteration logic outgrew what Zapier could comfortably handle. The pattern is always the same: Zapier works fine until it doesn&amp;rsquo;t, and then it doesn&amp;rsquo;t in expensive, awkward ways.&lt;/p&gt;
&lt;p&gt;If you&amp;rsquo;re reading &amp;ldquo;migrate zapier to make&amp;rdquo; as a query, you&amp;rsquo;ve probably already hit one of three walls: a task-based pricing bill that keeps climbing, a workflow that needs real branching or loops, or a debugging session where Zapier&amp;rsquo;s logs told you nothing useful. This guide walks the full migration: why it&amp;rsquo;s worth doing, when it isn&amp;rsquo;t, how concepts map between the two platforms, and a 6-step strategy that won&amp;rsquo;t break production.&lt;/p&gt;</description></item><item><title>Teedian: AI Content Operations Engine for Make.com, n8n, Notion</title><link>https://renezander.com/guides/teedian-ai-content-engine/</link><pubDate>Thu, 02 Apr 2026 14:00:00 +0200</pubDate><guid>https://renezander.com/guides/teedian-ai-content-engine/</guid><description>&lt;p&gt;Editorial teams spend roughly 60% of their time on operations. Status updates. Briefing docs. Approval pings. Cross-posting the same article to five platforms. Pulling last week&amp;rsquo;s numbers into a spreadsheet so someone can decide what to write next. The other 40% is the actual work: voice, story, editing, judgment.&lt;/p&gt;
&lt;p&gt;Teedian is the AI content operations engine that flips those numbers. It orchestrates the content pipeline (briefings, drafting, approval, cross-posting, performance tracking) using Claude as the text engine inside Make.com and n8n workflows your team already runs. No new monolithic SaaS. No platform lock-in. The ops layer runs in automation tools you control, and humans stay on voice.&lt;/p&gt;</description></item></channel></rss>