Make AI Agents

What is Make AI Agents?

Visual workflow automation platform with a drag-and-drop scenario builder, extended with AI Agents that can decide which of your configured scenarios to run rather than following a fixed path.

Main features

• Visual scenario builder with branching, routers, iterators and error handlers
• AI Agents that select tools/scenarios dynamically
• Make AI Assistant for building scenarios from text
• Make Grid for orchestrating multiple agents
• 2,000+ app connectors
• HTTP module for any REST API
• data stores
• scheduling down to one-minute intervals
• scenario versioning and rollback.

Practical use cases

• Multi-branch order processing with conditional routing and error handling
• syncing data bidirectionally between systems
• an agent that decides which internal process to trigger based on an inbound request
• scraping and enriching data at scale.

Who is it for?

• Operations engineers, agencies, technically-minded business users and teams needing complex conditional logic.

Pricing, free access & limits

Operation-metered subscription tiers

Plans described in the source

Free $0 with 1,000 operations/month. Core from roughly $9-10.59/mo (10,000 operations). Pro from roughly $16-18.82/mo adding custom variables, priority execution and full-text execution log. Teams from roughly $29-34.12/mo with team features and roles. Enterprise custom. AI Agent usage consumes operations plus underlying LLM token costs. Operations scale in tiers - higher volumes reduce unit cost substantially.

Usage limits to consider

Operation-metered, where an operation is roughly one module execution. AI Agent runs consume operations plus token costs. Free tier caps at 1,000 operations/month and limits scenario execution frequency to 15-minute intervals.

Strengths & tradeoffs

These points summarize the supplied research, rather than hands-on test results.

Strengths noted in the source

• Materially cheaper per unit of work than Zapier at volume
• the visual builder handles branching, loops and error handling that Zapier struggles with
• scenario versioning and the execution log make debugging far easier
• the HTTP module means no integration is truly impossible.

Limitations to consider

• Steeper learning curve than Zapier - genuinely a technical tool
• fewer native connectors than Zapier
• the operations model is still confusing for newcomers
• AI Agents are newer and less mature than dedicated agent platforms
• no self-hosting
• Celonis acquisition raises some long-term direction uncertainty.

Platforms, languages & integrations

Platforms

• Web
• mobile app for monitoring

Languages

• Interface in several languages

API access

Yes - Make API for programmatic scenario management; custom apps SDK; MCP support

Integrations and exports

• 2,000+ connectors plus a universal HTTP/webhook module that reaches any REST API

Evaluation notes

Make is the right choice when your logic has real branching; Zapier when you need an obscure connector. Model operations carefully - iterators over large arrays consume operations per item.

Explore similar tools

Other tools in AI Automation Tools. Compare their specific features and limits for your task.

Frequently asked questions

Sources & editorial notes

Based on the directory editor’s supplied research. The source does not provide a verification date for this row. Importing a record does not independently verify every product claim.

• Official product website
• Official pricing