Make

Make describes itself as "The visual AI automation platform", and the promise on its homepage is to "Connect any app, data source, or AI model. Build and manage automations and AI agents, visually, in code, or with a prompt." It claims 3,000+ pre-built apps, 400+ of them AI integrations, and says it is trusted by over 400,000 organisations across 200+ countries. On top of the classic automation canvas sit Make AI Agents, Make Grid for managing an automation estate, and a Make MCP Server for connecting an AI to real business actions.

The canvas is the actual differentiator. Where a linear builder gives you a trigger and an ordered list of actions, Make gives you a diagram with routers that branch, error handlers that catch, and modules you can rearrange spatially. That suits work with real conditional logic. It also means the learning curve is steeper than a form-based builder, which is the trade being made.

My read: read the pricing carefully, because the headline number is the smallest rung of a slider. Make bills in credits, and its definition is precise: "Each module action in your scenario, like adding a Google Sheet row or fetching Gmail account data, counts as one credit." Free gives 1,000 credits a month with two active scenarios, a 15-minute minimum interval between runs, a 5-minute execution ceiling, 5 MB file size, 512 MB data transfer and 7-day log retention. Core starts at $9 a month, Pro at $16 and Teams at $29, but every one of those prices is for the 10,000-credit rung, and the slider moves the price up from there. A scenario that touches six modules per record burns six credits per record, so 10,000 credits is a smaller allowance than it sounds. Routers and error handlers costing nothing is a genuine design detail worth knowing before you build.