Make
Make (formerly Integromat) is a powerful visual automation platform that lets you connect apps and build complex workflows with drag-and-drop simplicity and 1800+ integrations.
Make, formerly known as Integromat, is a premier visual automation and integration platform designed for both technical and non-technical users who want to automate repetitive tasks and connect their entire software ecosystem. Unlike simpler automation tools, Make gives you a canvas-based workflow builder where you can see exactly how your data flows from one application to another, making it easy to design, understand, and troubleshoot even the most sophisticated automation scenarios.
At the heart of Make is its scenario builder — a visual canvas where you drag and drop modules representing different apps and actions, then connect them with arrows to define data flow. Each scenario can contain routers for conditional branching, iterators to process arrays of items, aggregators to bundle multiple results, and error handlers to gracefully manage failures. This depth of control makes Make significantly more powerful than simple trigger-action tools, enabling automation logic that rivals hand-written code.
Make supports over 1,800 app integrations spanning productivity tools (Google Workspace, Microsoft 365), CRMs (Salesforce, HubSpot), marketing platforms (Mailchimp, Facebook Ads), e-commerce systems (Shopify, WooCommerce), project management tools (Asana, Trello, Jira), databases (Airtable, MySQL), communication platforms (Slack, Discord, Telegram), and virtually every major SaaS product. The built-in HTTP module and webhooks allow you to connect to any API that isn't natively supported.
One of Make's standout capabilities is its AI-powered scenario generation, which allows users to describe their desired automation in plain language and have Make suggest or automatically construct the relevant workflow. Combined with AI modules that integrate with OpenAI, Anthropic Claude, and other AI providers, Make enables intelligent automation where decisions can be made by AI agents mid-workflow. This makes it an essential tool for building AI-enhanced business processes without writing code.
Make is widely adopted by digital agencies, freelancers, startups, and enterprise teams who need robust automation at scale. Its operations-based pricing model, which charges for the number of operations executed rather than the number of workflows, makes it cost-effective for power users with complex, high-frequency automation needs. With team collaboration features, version history, and real-time execution logs, Make is a professional-grade iPaaS platform for serious automation work.
Key Features
- Visual drag-and-drop scenario builder with a canvas that shows real-time data flow between 1800+ apps
- Advanced logic tools including routers, iterators, aggregators, and error handlers for complex workflows
- AI-powered scenario generation: describe your automation in plain language and Make builds it automatically
- Native AI module integrations with OpenAI, Anthropic Claude, and other AI providers for intelligent automation
- Webhooks and HTTP modules to connect any REST API or custom service not already in the app library
- Real-time execution logs and visual debugging to trace exactly where data goes and why errors occur
- Data transformation with built-in functions for parsing, formatting, mapping, and manipulating data in transit
- Team collaboration with shared scenarios, role-based permissions, and organization-level management
- Scheduling options from every-minute polling to custom cron schedules for time-based automation triggers
- Version history and scenario templates to reuse proven workflows and roll back changes safely
Frequently Asked Questions
How is Make different from Zapier?
Make is significantly more powerful than Zapier for complex automation needs. While Zapier uses a simple linear trigger-action model, Make provides a visual canvas where you can build branching logic, loops, error handling, and multi-path workflows. Make's operations-based pricing is often more cost-effective for high-volume automation, and it offers deeper data transformation capabilities. Zapier is easier for beginners, while Make rewards users who need more control and flexibility.
Is Make free to use?
Yes, Make offers a free tier that includes 1,000 operations per month and allows up to 2 active scenarios. This is enough to get started with basic automations. Paid plans start at around $10.59/month for the Core plan (10,000 ops/month), with higher tiers offering more operations, faster scheduling, and team features. Operations are consumed each time a module in your scenario executes, so a scenario with 5 modules running 100 times uses 500 operations.
What kinds of workflows can I build with Make?
Make can automate virtually any business process involving digital tools. Common use cases include syncing CRM contacts to email marketing lists, auto-generating invoices from form submissions, routing customer support tickets to the right team, scraping websites and populating spreadsheets, sending Slack notifications from e-commerce orders, syncing data between databases, and building complex AI-powered workflows where GPT or Claude processes data mid-automation. If apps have APIs, Make can connect them.
Do I need coding skills to use Make?
No coding skills are required for most Make workflows. The visual scenario builder is designed to be accessible to non-technical users. However, Make does offer advanced features like custom functions, JSON/XML parsing, and direct API calls for power users who want to go deeper. The built-in formula editor for data transformation works similarly to spreadsheet formulas. Many users start with no code and gradually learn Make's more advanced capabilities as their needs grow.
Can Make integrate with AI tools like ChatGPT?
Yes, Make has native modules for OpenAI (ChatGPT/GPT-4), Anthropic Claude, Google Gemini, and other AI services. You can include AI steps in any workflow — for example, receive a customer email, pass the text to GPT-4 for sentiment analysis or a draft reply, then route the response based on the AI's output. This makes it possible to build intelligent, AI-enhanced automation pipelines entirely within Make's visual interface without writing a single line of code.
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