Make

Make is designed for users who want to automate complex workflows through a visual, drag-and-drop interface.

Instead of writing large amounts of integration code, users connect modules representing different applications and actions. These modules can retrieve information, transform data, apply filters, make API requests, trigger AI tools, and send results to other systems.

The platform supports more than 3,000 pre-built applications and integrations, making it possible to connect tools across sales, marketing, customer support, e-commerce, operations, databases, communication, and AI.

Users can create simple automations, such as automatically saving email attachments to cloud storage, or much more advanced workflows involving multiple branches, APIs, data transformation, AI models, databases, and business logic.

Make has also expanded beyond traditional workflow automation with Make AI Agents, allowing users to build AI agents that can reason, choose actions, use connected tools, and orchestrate work across applications. These agents can be combined with traditional workflows to handle more complex and judgment-based tasks.

Key Features

Visual Workflow Builder

Build automations visually using a drag-and-drop interface.

Users can connect applications, define actions, map data, and understand the complete workflow from a single visual canvas.

3,000+ App Integrations

Connect thousands of popular applications and services, including:

• Google Workspace

• Slack

• HubSpot

• Shopify

• Airtable

• Salesforce

• OpenAI

• Notion

• Monday.com

• Microsoft services

• Databases

• AI platforms

Multi-Step Automations

Create workflows involving multiple applications and actions.

A single scenario can retrieve data from one platform, process it, make decisions, and send results to several other applications.

Advanced Logic

Make provides powerful tools for building complex workflows, including:

• Routers

• Filters

• Iterators

• Aggregators

• Array functions

• Conditional logic

• Data transformation

AI Agents

Build AI agents directly inside Make's visual environment.

AI agents can:

• Analyze information

• Make decisions

• Select tools

• Trigger workflows

• Work with business data

• Handle multi-step processes

AI Integrations

Connect hundreds of AI applications and models to workflows.

Users can integrate AI tools for:

• Content generation

• Data analysis

• Classification

• Summarization

• Translation

• Image processing

• Web research

• Customer support

Make AI Toolkit

Add AI capabilities directly into workflows using built-in AI tools and external AI providers.

Webhooks and Instant Triggers

Start workflows immediately when an event occurs.

For example:

• A new form submission

• A new customer

• A new payment

• A new support ticket

• A webhook request

Scheduled Automation

Run workflows on a schedule, including recurring and time-based automations.

API and HTTP Modules

Connect virtually any service with an API using HTTP requests.

This makes Make useful even when a service does not have a native integration.

Custom Apps

Create custom integrations for internal tools, proprietary software, or niche services.

Make Code

Add custom JavaScript or Python logic to workflows when additional flexibility is needed.

Real-Time Monitoring

Monitor scenario executions and troubleshoot workflows visually.

Users can inspect workflow runs and identify where errors or unexpected results occur.

Scenario Templates

Create reusable automation templates that can be shared across teams and projects.

Make MCP

Connect AI systems and agents with Make workflows and tools using Model Context Protocol capabilities.

How Make AI Agents Work

Make AI Agents combine AI reasoning with workflow automation.

Traditional workflows follow predefined instructions:

If this happens → perform this action.

AI agents can handle situations that require more flexibility:

Analyze the information → determine the best action → select a tool → continue the workflow.

This makes Make AI Agents useful for workflows involving:

• Unstructured text

• Documents

• Customer requests

• Emails

• Support tickets

• Business decisions

• Data analysis

Users can also maintain visibility into how an agent makes decisions and which tools it uses.