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Make (formerly Integromat): visual automation for people who outgrew simple Zaps

When 'if this then that' isn't enough, Make's visual canvas handles branching, looping and transforming data — without code.

By ToolGrid AI Editorial Team · Published

Open Make

What the canvas gives you

Make draws your automation as a flowchart: modules connected by lines, data visibly flowing between them. The moment a workflow needs to branch — if the order is over a certain amount, notify the manager, otherwise just log it — the visual model starts paying for itself.

You can see the logic, which means you can debug the logic. That's the entire advantage.

Concepts worth learning early

Routers split a flow into parallel paths with filters on each. Iterators handle lists — process every row of a spreadsheet, not just the first. Variables and built-in functions reshape data between apps that disagree about formats.

These three ideas cover most of what people build. Learn them with a small real scenario rather than the tutorial's toy one.

Debugging like a professional

Run scenarios manually while building and watch the data bundles move through each module — Make shows you exactly what each step received and produced. Almost every bug is a field that isn't shaped the way the next module expects.

Build error handling in from the start: what should happen when the spreadsheet is empty or the API times out? An automation that fails silently is worse than none.

Plans and limits

Pricing is based on operations consumed, with a free tier suitable for learning and light use. Complex scenarios consume operations faster than intuition suggests, so watch your usage dashboard in the first month.

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