You can now review and approve plans before Maia changes anything, save your chat preferences, add images, and fix errors with Maia's help. 

 Review and approve Maia's proposed modules, connections, and assumptions before she builds, or approve her suggested improvements before she edits.

 Save your preferences across chats, such as apps and accounts to use or avoid, Maia's response style, and any non-English language to use. 

 Upload, drag and drop, or paste images in the chat to give Maia context to build from.

 run entry, and Maia reads scenario run data to explain the error and help fix it. 

 Copy Maia's response in the chat to share it with your team or paste it into another tool.

These updates are available to all Maia users. Maia is in public beta on all paid plans. On Free plans, she is available as a 30-day trial that starts at signup.

To learn how to use memory, images, and plan mode, see

To learn how to resolve errors with Maia, see 

To check out what the community is saying, see 

OpenAI model transition, Anthropic Claude browser use toolset, and other app updates and fixes

Maia updates for planning, context, and error resolution

A safety feature that saves unfinished scenario runs when errors occur, preventing data loss. Stored in the Incomplete Executions tab, you can retry automatically, resolve manually, or delete them. Disabled by default, enable it in Scenario settings.

Incomplete_executions

incomplete_executions

Error handlers act as a safety net that catches unexpected failures to prevent your scenarios from failing. They allow you to define exactly how the system should react, such as by retrying the task, ignoring the mistake, or rolling back changes.

error_handler

The Rollback error handler stops a scenario and reverts changes made by modules that support transactions to ensure data remains consistent when an error occurs.

Rollback

An automated workflow within the Make platform. You build it by connecting modules together, and it runs based on a trigger you set up.

scenario

a list or sequence of characters (like letters, numbers, and symbols) used to represent text in a computer programming.

string

An operation is a single module run to process data or check for new data. 

Operations

Credits (formerly operations) are the currency for running scenarios.

Credits

A route is a path that data can flow through in a scenario, visualized as the dotted lines between modules.

Route

scenario_plural_lowercase

scenario_singular_lowercase

Scenario_plural

Scenario_singular

product_name

Kimi deprecation, Gemini 4 Argon support, and fixes across apps

Help Center

What is Make?

What's an API?

What's a scenario and which type should you use?

Learn the basics

Step 1. Plan your scenario

Step 2. Get your apps ready

Step 3. Add your first app

Step 4. Create a connection

Step 5. Set up the trigger

Step 6. Test the module

Step 7. Add another module

Step 8. Map data

Step 9. Test your scenario

Step 10. Schedule your scenario

Create your first scenario

Step 1. Get your app ready

Step 2. Add a router

Step 3. Set up another module

Step 4. Add a filter

Step 5. Test your scenario

Step 6. Add an aggregator

Step 7. Test the final scenario

Expand your scenario

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Scenarios

Call Google APIs with OAuth 2.0 HTTP request

Connect to any web service using OAuth 2.0

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Securing data with Make

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Make DevTool

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Explore more

Introduction to Make AI Agent (New)

Create your first AI agent

Sales outreach AI agent use case

Slack-triggered AI agent

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Email-triggered AI agent

Form-triggered AI agent

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Mailhook-triggered AI agent

Create AI agents for different triggers

Input files for AI agents

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Knowledge app modules

Input files and knowledge files for AI agents

Make AI Agent (New) app

Make AI Agent (New) best practices

Credit usage for AI agents

Make AI Agent (New)

Introduction to AI agents

Manage AI agents

Module tools for AI agents

Scenarios for AI agents

MCP tools for AI agents

Tools for AI agents

AI agent best practices

AI Agents configuration

Make AI Agents app

Step 1. Set up the AI agent

Step 2. Create the AI agent's tools

Step 3. Create a scenario to send tasks to the AI agent

AI agent use case

Make AI Agents

Maia updates for planning, context, and error resolution

Key updates

Availability

Learn more