Make

What is Make?

Make is a visual automation platform that lets you connect apps, data and AI models into what it calls scenarios: sequences of triggers and actions that run automatically. Alongside its large library of app connections, Make includes dedicated AI and LLM modules, so a scenario can send data to an AI model, get back a generated response, and route that response into other steps — updating a spreadsheet, sending a message, creating a record, or triggering another action entirely.

Its interface is built around a visual canvas where you drag and connect modules, which makes it approachable for people without a programming background while still supporting more advanced logic when a scenario needs it.

Key features

• AI and LLM modules. Send prompts to AI models and use their responses as data within a scenario.
• Visual scenario builder. Connect triggers and actions on a canvas, with branching, filtering and routing logic available.
• Large app library. Pre-built connections to a wide range of business and consumer apps.
• HTTP module. Connect to AI APIs or services that don’t have a dedicated built-in module.
• Execution history. Detailed logs of each scenario run, useful for debugging AI-driven steps that behave unexpectedly.
• Scheduling and webhooks. Trigger scenarios on a schedule, from an app event, or from an incoming webhook.

How to get started

1. Sign up at make.com and open the scenario builder.
2. Choose a trigger, such as a new form submission, a scheduled time or a webhook.
3. Add an AI/LLM module, connect your provider, and configure the prompt using data from earlier steps.
4. Add further modules to act on the AI’s response, such as updating a spreadsheet or sending a notification.
5. Run a test execution, review the log, then activate the scenario.

Who Make is for

Operations and marketing teams that want to connect AI into their existing stack of cloud apps without hiring a developer, and technical users who want more visual clarity than writing scripts by hand. It suits businesses running several SaaS tools that need AI-generated content or decisions to flow automatically between them, from lead qualification to content generation pipelines.

Tips for building AI scenarios in Make

• Keep prompts inside the AI module as variables built from earlier steps, so the same scenario adapts to different input automatically.
• Validate data passed between modules with the JSON formatter when an AI module’s output isn’t parsing the way a later step expects.
• Set precise scheduled triggers using the cron expression generator for scenarios that need to run at specific times.
• Tag links generated by AI-driven marketing scenarios with the UTM builder so campaign performance stays trackable.
• Watch your operation count while testing; each module run in a scenario typically counts toward your plan’s limit.

Make vs alternatives

n8n offers similar AI module capability with more flexibility for custom AI agent logic and the option to self-host, which suits technical teams better than Make’s more guided approach. Zapier is generally the simplest starting point and includes its own AI Agents builder, though Make’s visual canvas gives clearer control over more complex, branching scenarios. Notion AI isn’t a workflow automation tool — Make is what you’d use to move AI-generated content into or out of a Notion workspace automatically.

Is Make worth it?

For teams that want to weave AI into everyday automation without a steep technical learning curve, Make hits a solid middle ground between simplicity and real flexibility. The free plan is enough to prototype a scenario and confirm an AI module behaves the way you expect before committing to a paid plan, and the visual execution history makes it easier than plain code to see exactly where an AI-driven scenario went wrong. Heavier automation volumes will need a paid tier, since pricing scales with how many operations your scenarios run.

Compare it with other automation platforms in the AI tools catalog.