How to Use Make.com Agent AI Step by Step

The make.com Agent AI feature helps you build, test, and improve scenarios faster by turning natural language prompts into working automations. This guide shows you exactly how to use Agent AI safely and efficiently inside make.com.

What Is Agent AI in Make.com?

Agent AI is a guided assistant built into make.com that transforms your ideas into automation scenarios or improvements. Instead of manually configuring every module from scratch, you describe what you want, then Agent AI suggests or creates a draft scenario that you can refine.

Agent AI is designed to be:

Context-aware: It reads your scenario or brief to understand what you want to automate.
Interactive: It asks for clarification when needed and lets you review each version.
Safe: You stay in control of what gets added, changed, or replaced.

How to Access Agent AI in Make.com

You can access Agent AI from within the scenario editor in make.com. Once enabled on your account, you will see an option to open the AI assistant directly from the scenario interface.

Before starting, ensure you have:

An active make.com account with access to the new Agent AI interface.
At least a basic understanding of triggers, modules, and connections.
The apps or services you want to automate already connected where possible.

How to Create a New Automation with Make.com Agent AI

Follow these steps to create a new automation using Agent AI inside make.com.

Step 1: Open a New Scenario in Make.com

Log in to your make.com dashboard.
Create a new scenario from the main navigation.
Look for the Agent AI panel or button within the scenario editor.

Starting from a blank scenario gives Agent AI full freedom to propose a structure based on your goals.

Step 2: Describe Your Automation Idea

Agent AI works best with a clear, specific prompt. In the Agent AI input box, describe the workflow you want to build. For example:

“When a new lead arrives in my CRM, enrich it with web research and send a summary to Slack.”
“Monitor a folder for new files, extract key data, and update a spreadsheet.”

Include:

The apps or tools involved.
The trigger (what starts the flow).
The outcome you want.

The more context you provide, the more accurate the draft that Agent AI generates in make.com.

Step 3: Let Agent AI Generate a Draft Scenario

After submitting your prompt, Agent AI will propose a scenario layout. This usually includes:

A trigger module that starts the automation.
One or more action modules that process and route data.
Any logic, filters, or branches required to handle different paths.

Agent AI may also suggest improvements or ask clarifying questions if something is ambiguous. Review the generated structure inside make.com before moving forward.

Step 4: Review and Edit the Draft

Even when Agent AI creates the flow, you remain in control. Carefully check:

Each module’s configuration (fields, mappings, and conditions).
The connections between modules.
Any data transformations or filters.

Make light edits where needed. You can also ask Agent AI follow-up questions, such as:

“Can you add a step to log errors to a sheet?”
“Optimize this for fewer operations.”

This iterative loop lets you refine the automation within make.com while staying aligned with your original goal.

How to Improve Existing Scenarios with Make.com Agent AI

Agent AI is not only for new builds. You can use it to review and enhance scenarios you already have in make.com.

Step 5: Open an Existing Scenario

From the make.com dashboard, open the scenario you want to improve.
Launch Agent AI from the scenario editor.
Provide a short description of what you want to change or optimize.

Agent AI reads the current scenario to understand its structure and purpose.

Step 6: Ask Agent AI for Improvements

Use targeted prompts to get the best suggestions. For example:

“Review this scenario for unnecessary steps and suggest a simpler path.”
“Help me add error handling if an API call fails.”
“Propose a way to log every successful run.”

Agent AI will return recommendations or a modified version of your scenario in make.com. You can compare and decide which changes to accept.

Step 7: Safely Apply Suggested Changes

When using Agent AI on existing automations in make.com, always:

Duplicate the scenario before applying major edits.
Use test data instead of live customer data when trying new steps.
Turn on detailed logging so you can see exactly what happens on each run.

This makes it easy to roll back if any change does not behave as expected.

Testing and Deploying Agent AI Scenarios in Make.com

Once you have created or refined a scenario with Agent AI, you need to test and deploy it properly inside make.com.

Step 8: Run Tests with Sample Data

Before turning a scenario on:

Use the built-in test or run once feature.
Provide realistic sample data at the trigger step.
Confirm that each module receives and outputs the expected fields.

If anything looks wrong, return to Agent AI and ask for a correction or suggestion, then re-test.

Step 9: Turn the Scenario On

When tests in make.com are successful:

Enable scheduling or real-time triggers as appropriate.
Monitor the first few live runs closely.
Check logs and outputs for accuracy and performance.

Use these early results to fine-tune the scenario further with Agent AI.

Best Practices for Using Make.com Agent AI

To get the most out of Agent AI in make.com, follow these guidelines:

Be explicit in your prompts: Mention the apps, triggers, and end results you care about.
Iterate in small steps: Ask Agent AI for focused changes, not complete rewrites, when refining.
Keep a human review: Always review AI-generated logic, especially if it touches revenue, compliance, or customer data.
Version your work: Save or duplicate scenarios when testing significant Agent AI edits.

Combining AI suggestions with your domain knowledge results in robust, reliable automations inside make.com.

Learn More About Make.com and Agent AI

To see the full background and announcement of Agent AI, review the official article on the make.com blog at this page. It explains how Agent AI is built, how it collaborates with you, and the direction of future enhancements.

If you need strategic help designing automation architectures or scaling AI workflows around make.com, you can also consult experts at Consultevo for implementation and optimization support.

Next Steps with Make.com Agent AI

Now that you know how to create, improve, and safely deploy scenarios using Agent AI in make.com, start with a simple workflow and build from there. Use small, clear prompts, review every suggestion, and gradually layer in more complexity as you gain confidence.

With deliberate testing and careful iteration, make.com Agent AI can significantly reduce build time while helping you design more powerful, scalable automations.

Need Help With Make.com?

If you want expert help building, automating, or scaling your Make scenarios, work with ConsultEvo — certified workflow and automation specialists.

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