Migration on René Zander | AI Automation Consultant

Migrate Zapier to n8n: A Practitioner's Playbook for 2026

Fri, 10 Apr 2026 12:00:00 +0200

Most teams that want to migrate Zapier to n8n hit the same wall: pricing crosses a threshold around 10,000 tasks per month, or a data sovereignty requirement lands on the roadmap, and Zapier’s per-task model becomes a liability. n8n fixes both, but only if you pick the right deployment and plan the cutover properly.

I run n8n self-hosted in production for Teedian, alongside Make.com blueprints for clients who do not want to operate their own infrastructure. This is the zapier to n8n migration playbook I wish I had: concept mapping, pattern translation, a six-step rollout, the cost math that decides Cloud vs self-hosted, and the gotchas that burn people in week two.

Migrate Zapier to Make: A Practitioner's Migration Guide (2026)

Wed, 08 Apr 2026 11:00:00 +0200

I’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’t, and then it doesn’t in expensive, awkward ways.

If you’re reading “migrate zapier to make” as a query, you’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’s logs told you nothing useful. This guide walks the full migration: why it’s worth doing, when it isn’t, how concepts map between the two platforms, and a 6-step strategy that won’t break production.

Migrate OpenAI to Claude: API Migration Guide for 2026

Sat, 04 Apr 2026 10:00:00 +0200

Most teams I talk to arrive at the same moment: the OpenAI bill crosses $500/month, an agent loop that worked on GPT-4o starts fumbling tool calls, or legal raises an eyebrow about single-provider risk. Then the question lands in my inbox: what does it actually take to migrate OpenAI to Claude?

Short answer: a weekend if you have one endpoint, two weeks if you have a real product. The SDKs are similar enough that the ported code looks boring. The interesting work is in the prompts, the tool use loop, and the parts of your codebase that silently depend on OpenAI-specific behavior like seed, logprobs, or the response_format JSON schema flag.