Make
Visual no-code automation platform with AI agents and 3,000+ app integrations
AI-Powered Summary
Make is a visual no-code platform for building workflow automations and AI agents by connecting 3,000+ apps through a drag-and-drop interface. It serves over 400,000 customers ranging from freelancers to enterprises, enabling automation of processes across IT, marketing, sales, operations, and finance without coding knowledge. The platform also supports custom code execution in JavaScript and Python and integrates with major AI providers for building agentic workflows.
Key Features
What makes Make stand out
Visual Workflow Builder
Drag and drop modules to create multi-step automations without writing any code.
AI Agents
Build autonomous AI agents that can make decisions and take actions within your workflows.
3,000+ App Integrations
Connect to thousands of pre-built apps including Google, Salesforce, Slack, and OpenAI.
Custom Code Execution
Run JavaScript or Python within workflows for advanced data transformation and logic.
AI Content Extractor
Extract structured text and metadata from files directly within your automation scenarios.
Maia AI Assistant
Build and troubleshoot automations using natural language for faster results.
Make Grid
Visualize your entire automation landscape in a real-time map to manage everything at scale.
MCP Server
Connect external AI tools to your Make scenarios from anywhere using the Make MCP Server.
What's Great
- Visual drag-and-drop builder makes complex multi-step workflows easy to understand and debug
- Massive library of 3,000+ verified app integrations covering virtually every SaaS tool category
- Generous free tier with no time limit allows users to start automating without financial commitment
- Built-in AI agent capabilities and 350+ AI app integrations reduce need for separate AI orchestration tools
- Supports custom JavaScript and Python code execution for advanced logic when no-code isn't enough
Things to Know
- Credit-based pricing can become expensive at scale as each module action consumes credits
- Complex automations with many steps consume credits quickly, making costs harder to predict
- The visual builder, while accessible, has a learning curve for building advanced conditional logic and error handling
- Feature differentiation between Core and Pro tiers is not immediately clear from the pricing page
Pricing Plans
All Make pricing tiers and features
Based on 10,000 credits/month. Each module action counts as one credit.
Free
+3 more features
Core
Pro
Teams
Enterprise
Real Cost Breakdown
Hidden Costs
- Credits are consumed per module action — complex scenarios with many steps use credits quickly
- Code execution in the Make Code App costs 2 credits per second of execution time
- Higher credit tiers likely cost more but exact per-credit overage pricing is not shown on the pricing page
- AI features using Make's AI Provider may have separate usage considerations
Cost Saving Tips
- Annual billing saves 15% or more across all paid plans
- Start with the Free plan (no time limit) to estimate your credit usage before committing
- Optimize scenarios by reducing unnecessary module steps to conserve credits
- Use filters and routers to prevent unnecessary executions
Make's free tier is genuinely useful for getting started, but credit-based pricing means costs can escalate unpredictably as automation complexity and volume increase.
Price Comparison
Compare Make with similar tools
Make ranks as the 2nd most affordable option out of 5 tools, priced 65% below the category average of $26/mo.
Best For
Non-technical teams needing to automate multi-app workflows with visual design
Who Should NOT Use This
- Developers who prefer code-first automation — Make's visual builder prioritizes no-code workflows. Developers who want full programmatic control over orchestration logic may find code-based tools like n8n (self-hosted) or custom scripts more flexible.
- Users with very high-volume, simple automations — The credit-based pricing model charges per module action, so workflows with millions of simple operations (like data sync) can become very expensive compared to flat-rate or per-workflow pricing tools.
- Organizations requiring on-premise or self-hosted deployment — Make is a cloud-only SaaS platform with no self-hosted option. Companies with strict data residency or air-gapped network requirements would need an alternative like n8n.
- Teams needing only a single point-to-point integration — If you only need one simple integration (e.g., sync Salesforce to Slack), Make's full platform may be overkill compared to native app integrations or simpler tools like IFTTT.
Competitive Position
Make's visual canvas lets users see and manage the entire branching logic of complex workflows in real time, which is fundamentally different from the linear step-by-step approach of most competitors.
When to Choose Make
- When you need to visualize complex multi-step, branching workflows on a canvas rather than linear steps
- When you want to integrate AI agents directly into automation workflows without separate orchestration tools
- When your team includes non-developers who need to build and maintain automations independently
- When you need to connect a wide variety of SaaS tools (3,000+ pre-built integrations)
When to Look Elsewhere
- When you need self-hosted or on-premise automation (n8n is a better fit)
- When you have very high-volume, simple automations and need predictable flat-rate pricing
- When you prefer code-first automation with version control and CI/CD integration
- When you only need enterprise-grade iPaaS with deep ERP integrations (Workato or MuleSoft may be better)
Strongest alternative: Zapier
Learning Curve
Prerequisites
Common Challenges
- Understanding how data flows between modules and handling nested data structures
- Debugging complex scenarios when errors occur mid-workflow
- Estimating credit consumption for workflows before they run at scale
- Learning to handle error paths and retries for reliable production automations
Frequently Asked Questions
Common questions about Make
Stacks Using Make
See how others combine Make with other tools
Compare Make
See how Make stacks up against alternatives
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