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Make vs Gumloop: best no-code automation for AI workflows (2026)

Last updated: 2026

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Make

Try Make Free →

Free plan available

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Gumloop

Try Gumloop Free →

Free plan available

Side-by-Side Comparison

MakeWinnerGumloop
Rating
Starting PriceFreeFree
Free Plan✅✅
Categoryai-automationai-automation
Top Features
  • ✓ Visual scenario builder with branching logic
  • ✓ 1,800+ app integrations (Google, Slack, Notion, CRMs, databases)
  • ✓ Native AI module: call OpenAI, Claude, Gemini as workflow steps
  • ✓ Scheduled and webhook-based triggers
  • ✓ Visual drag-and-drop workflow canvas
  • ✓ AI nodes: GPT-4o, Claude, Gemini built-in
  • ✓ Web scraper nodes with JavaScript rendering
  • ✓ PDF and document processing nodes
Try itTry Free → →Try Free → →

Our Verdict

🏆 Winner: Make

Make wins on breadth - 1,800+ app integrations, mature platform, large community, and proven reliability for complex business automations. Gumloop wins on AI-native simplicity - it is faster to get started with AI-specific workflows, and the visual canvas is more beginner-friendly for non-technical users who just want to chain AI steps together. If your main use case is connecting AI to 10+ business tools, Make is the stronger platform. If you want to quickly build AI pipelines without thinking about integrations, Gumloop is the faster path.

Make Pros & Cons

👍 Pros

  • ✓Much more powerful than Zapier for complex logic
  • ✓1,800+ integrations covers virtually every tool
  • ✓Free tier is genuinely functional
  • ✓AI steps are first-class modules in any workflow
  • ✓Much cheaper than Zapier for equivalent power

👎 Cons

  • ✗Steeper learning curve than simpler tools
  • ✗Operation-based pricing can get expensive at scale
  • ✗No self-hosted option
  • ✗Visual canvas can get cluttered with complex scenarios

Gumloop Pros & Cons

👍 Pros

  • ✓Genuinely no-code - visual canvas is intuitive
  • ✓AI-native: LLM steps are first-class nodes
  • ✓Fast to build - most workflows done in under an hour
  • ✓Free tier is functional for testing and small projects
  • ✓Hosted: no infrastructure to manage

👎 Cons

  • ✗Smaller node library than Make or n8n
  • ✗Less mature than established automation tools
  • ✗Credit-based pricing can add up for high-volume workflows
  • ✗No self-hosted option (unlike n8n)
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