Make

Make has long been a favorite of people who find simple trigger-and-action tools too limiting. Its visual canvas shows every branch, filter and data transformation in a workflow, which makes complex automations easier to reason about and debug. Recent additions bring AI agents and assistant-driven building into the same environment, so classic automations and agentic workflows can live side by side.

• The drag-and-drop canvas supports routers, filters, iterators and error handling for multi-branch logic.
• The company says thousands of apps are supported out of the box, and any API can be added through custom calls.
• AI agents work toward goals using tools and limits you define, and their reasoning is shown.
• An MCP server lets you build and trigger automations from Claude, ChatGPT or Gemini.
• Role-based access, audit logs and team workspaces support larger organizations.

It is best for operations teams, marketers, agencies and technically curious solo founders who want powerful automation without writing a full application. A practical tip: build and run each new scenario with a small test dataset first, then watch the execution history to see how many credits each run consumes before you schedule it to run at scale.