Zapier vs. Make comparison: Which is best? [2026]
"I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes," said author Joanna Maciejewska in a viral post. It's a common anti-AI objection. Why are we automating away things that are delightful, enriching, and human, while keeping the drudgery for ourselves?
Key Takeaways
- Learn how Zapier outshines Make across enterprise adoption, price, time to value, and integrations.
See how Zapier helps you manage, secure, and scale automation across your organization.
- (I'd rather do dishes than either of those, thank you very much.
) To enable this kind of work, the role of platforms like Zapier and Make is evolving: increasingly, the end goal is to describe a task or project to an agent (or team of agents) and let them securely access all the apps necessary to get the work done.
- Make is built for technical teams that want deep control over complex, branching automations, and are willing to pre-build the automations they need before calling them with agents.
Zapier is an AI orchestration platform that lets agents act on 9,000+ connected apps directly through chatbots, coding tools, or terminals-without designing workflows in advance.
- With Zapier Copilot , it's even easier: just tell Zapier what you want to automate, and the rest happens automatically.
It means non-technical users can build sophisticated automations in minutes, from marketing teams automating lead nurturing to sales teams connecting CRM data across multiple systems.
- Beginners often struggle, and it's not uncommon to see sentiments like "I want to learn Make.
Learn how Zapier outshines Make across enterprise adoption, price, time to value, and integrations. See how Zapier helps you manage, secure, and scale automation across your organization. Three phases to move from disconnected AI pilots to orchestrated systems that scale.
Fortunately, with the advent of agents, we're starting to see AI use cases that really do knock out drudgery, like compliance review and help desk management. (I'd rather do dishes than either of those, thank you very much. ) To enable this kind of work, the role of platforms like Zapier and Make is evolving: increasingly, the end goal is to describe a task or project to an agent (or team of agents) and let them securely access all the apps necessary to get the work done.
Zapier and Make offer similar building blocks for this process on paper, with thousands of integrations and tools like MCP that enable secure agentic access. But the way each platform works in practice is meaningfully different. Make is built for technical teams that want deep control over complex, branching automations, and are willing to pre-build the automations they need before calling them with agents.
For more details please read the original article at Zapier AI Blog.
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