n8n vs Make: Don't choose the wrong one (2025)
Jack Roberts. A working automation builder names the three considerations that actually drive the choice — native AI agents, self-hosting, and the long-term roadmap of each tool — including notes from a conversation with Make's head of Applied AI on where Make is heading. Closely mirrors the article's "don't switch just because of shiny-object syndrome" framing.
AI Expert note
Treat the specific product comparison as version-sensitive. n8n and Make are changing quickly; use this video for the decision criteria, then verify current pricing, hosting, AI-agent features and connector limits before choosing a stack.
What you should get from this
Choose an automation platform based on hosting, AI-agent fit, integrations and maintenance tradeoffs instead of product hype.
Watch or know first
Know the basic trigger/action model from Zapier, Make or n8n.
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Hand-picked external courses that go deeper on this topic.
Coursera · Vanderbilt UniversityChatGPT: Excel at Personal Automation with GPTs, AI & Zapier
The clearest path from "I use ChatGPT in a tab" to "my AI handles my inbox while I sleep." Three-course specialization built around Zapier — no Python required. By the end you'll have agents that summarise emails, update spreadsheets, and trigger workflows when conditions are met.
Hugging FaceAI Agents Course
The clearest open-source treatment of agentic systems available. Anchored in the three frameworks engineers actually evaluate (smolagents, LlamaIndex, LangGraph) rather than one vendor's stack. Concludes with a benchmark assignment and public leaderboard — accountability your team can verify.