If you want to connect apps, automate repetitive work, and build more advanced multi-step workflows without relying entirely on code, Make is one of the most flexible visual automation platforms available in 2026.
Make stands out for its visual scenario builder, granular routing and filtering, broad app ecosystem, AI integrations, and growing support for agentic automation. It can handle everything from simple app-to-app tasks to complex data transformations, multi-branch workflows, API calls, and AI-powered processes.
This Make review looks at the platform’s current features, pricing, AI capabilities, strengths, limitations, and the types of users who are most likely to benefit from it.
If you are deciding between Make and its best-known competitor, read our detailed Make vs Zapier comparison. For a broader overview of AI and automation software, see our guide to the best AI content creation and automation tools.
Editorial note: This review is based on Make’s publicly available product pages, pricing information, and help documentation, rechecked in October 2026. We are not claiming to have conducted controlled hands-on benchmark testing. Features, limits, pricing, and AI functionality can change, so verify current details directly with Make before subscribing.
Make Review: Quick Verdict
Make is a strong fit for creators, marketers, operations teams, agencies, small businesses, and technical users who need visual control over complex automations.
Its biggest strengths are its visual workflow builder, routers and filters, support for 3,000+ apps, API connectivity, data transformation tools, AI integrations, and increasingly powerful AI Agent capabilities. Compared with simpler trigger-action tools, Make gives users more visibility into how data moves through a workflow and more control over branching logic.
The main trade-off is complexity. Make can be more powerful than simpler automation tools, but users often need more time to understand scenarios, modules, data mapping, iterators, aggregators, error handling, and credit consumption.
Best for: teams that want visual control over multi-step automations, branching logic, APIs, data transformation, and AI workflows.
Less suitable for: users who want the fastest possible setup for simple trigger-action automations or teams that do not want to manage credit usage and workflow complexity.
What Is Make?
Make is a visual automation platform that lets users connect applications and build workflows called scenarios.
A scenario defines how apps communicate. It can watch for an event, process the incoming data, apply filters or branching logic, transform information, and then send results into other applications.
Make currently promotes:
- A visual no-code workflow builder
- 3,000+ pre-built apps
- Routers and filters
- HTTP and webhook support
- Data manipulation tools
- AI integrations across hundreds of AI apps
- Make AI Tools
- Make AI Agents
- Make MCP Server and Client
- Make Grid
- Analytics and observability tools
- Team collaboration and role controls
Explore Make’s current product platform.
How Make Works
Make workflows are built visually by connecting modules on a canvas.
Each module represents an action, trigger, search, transformation, API request, or other step. Users can branch a workflow with routers, apply filters to control which path executes, transform values, aggregate or iterate data, and connect services through APIs and webhooks.
A simple scenario might look like this:
- A new form submission arrives.
- Make validates the data.
- A filter checks whether the lead meets certain criteria.
- The lead is added to a CRM.
- A Slack notification is sent.
- An AI model generates a personalized follow-up message.
- The message is saved for review or sent automatically.
The same visual model can also support much more complex workflows with multiple branches, loops, custom API calls, and AI-driven decisions.
Key Make Features in 2026
1. Visual Scenario Builder
Make’s visual builder is its defining feature.
Users drag, drop, and connect modules to see how data moves through a workflow. This makes complex automations easier to inspect than systems where logic is hidden behind multiple screens.
The visual layout is especially useful when a scenario contains several branches, multiple applications, error handlers, AI tools, or data transformations.
2. 3,000+ App Integrations
Make currently advertises support for more than 3,000 pre-built apps.
Popular integrations include productivity, CRM, marketing, e-commerce, database, AI, communication, and project-management tools.
If an app is not available natively, users can often connect it through HTTP requests, webhooks, custom apps, or an API.
3. Routers and Filters
Routers and filters are central to Make’s flexibility.
A router lets one scenario split into multiple paths. Filters determine whether data should continue down a specific path.
This makes it possible to create logic such as:
- Send high-value leads to sales while sending lower-value leads to nurture.
- Route support tickets based on category.
- Run different actions depending on country, product, customer tier, or campaign.
- Send different AI prompts based on content type.
4. Data Transformation
Make includes built-in tools for manipulating data between apps.
Users can format text, work with dates, transform arrays, aggregate multiple records, iterate through collections, and map outputs from one module into another.
This is one of the reasons Make is often attractive for workflows that would otherwise require custom scripts or several separate automations.
5. HTTP and Webhooks
Make can connect to public APIs through HTTP requests and can receive data through webhooks.
This is useful when a service does not have a native Make integration or when users need more control over the exact request and response structure.
Webhooks can also make scenarios react to events immediately instead of waiting for scheduled polling.
6. AI Integrations
Make has expanded heavily into AI automation.
Its current product materials promote hundreds of AI apps and AI-focused integrations for tasks such as text generation, translation, categorization, analytics, image processing, and decision support.
Make also includes AI Mapping and Make AI Tools to simplify common AI-related workflow tasks.
7. Make AI Agents
Make AI Agents are designed to combine AI decision-making with workflow tools across Make’s app ecosystem.
Agents can be configured with a model, instructions, context, and tools. Those tools can include Make modules, scenarios, and MCP-connected capabilities.
Make positions AI Agents as a way to automate work that requires judgment while retaining visibility into what the agent is doing and which tools it uses.
According to Make’s current documentation, users on all plans can use Make’s AI provider, while paid plans can also connect supported custom AI providers such as OpenAI or Anthropic Claude.
8. Make MCP Server and Client
Make’s MCP capabilities allow AI systems to access scenarios, tools, and data through the Model Context Protocol.
This can help users connect AI assistants and agents with existing Make automations without rebuilding those workflows from scratch.
9. Make Grid
Make Grid provides a visual map of an organization’s automation and agentic landscape.
For teams running many scenarios and AI agents, this can make it easier to understand where workflows exist, how they connect, and where automation value is being created.
10. Team Collaboration and Controls
Make offers team-oriented features such as shared scenario templates, team roles, and more advanced access controls on higher plans.
Enterprise plans add additional governance, security, support, and scaling capabilities.
Make Pricing in 2026
Make uses a credit-based pricing model. Most module actions consume one credit, although some advanced AI functionality can consume more.
The pricing below reflects the current 10,000-credit monthly configuration shown on Make’s pricing page.
| Plan | Monthly price | Credits | Best suited for |
|---|---|---|---|
| Free | $0 | 1,000/month | Testing the platform and simple automations |
| Core | $12/month | 10,000/month | Fundamental automation and AI workflows |
| Pro | $21/month | 10,000/month | Advanced automation, priority execution, and more control |
| Teams | $38/month | 10,000/month | Collaborative automation across teams |
| Enterprise | Custom | Custom | Large organizations needing governance, support, and security |
Pricing note: Prices and plan details may change. Confirm the latest terms with the provider before purchasing.
Free Plan
The Free plan currently includes up to 1,000 credits per month.
It includes the visual workflow builder, routers and filters, support for 3,000+ apps, and customer support. The minimum interval between scheduled runs is currently 15 minutes.
Core Plan
Core currently starts at $12 per month for 10,000 credits on monthly billing.
It adds unlimited active scenarios, scheduling down to the minute, higher transfer limits, and access to the Make API.
Pro Plan
Pro currently starts at $21 per month for 10,000 credits.
It adds priority scenario execution, custom variables, and full-text execution-log search.
Teams Plan
Teams currently starts at $38 per month for 10,000 credits.
It adds team roles and the ability to create and share scenario templates.
Enterprise Plan
Enterprise uses custom pricing.
Current enterprise features include custom functions support, enterprise app integrations, 24/7 enterprise support, value engineering, overage protection, and advanced security features.
What Are the Limitations of Make for Enterprise Teams?
Make can scale into enterprise use, but larger teams should evaluate several trade-offs before standardizing on it. Complex scenarios can become difficult to maintain as branches, transformations, error handlers, and dependencies accumulate. Credit consumption can also become harder to forecast when high-volume workflows execute many modules or use advanced AI functionality.
Enterprise teams may also need stronger governance around scenario ownership, naming standards, permissions, change control, testing, and monitoring so that critical automations do not become difficult to audit. Make offers higher-tier controls and enterprise support, but the platform still requires disciplined workflow design and operational oversight as automation volume grows.
For organizations comparing Make with a more developer-oriented or self-hostable approach, see our n8n vs Make comparison.
How Make Credits Work
Credits are Make’s billing unit.
In most cases, each module action in a scenario consumes one credit. Reading a record, creating a row, updating a record, searching data, transforming information, aggregating values, or iterating through data can all consume credits.
Some exceptions do not consume credits, including certain router and error-handler modules.
The number of credits a workflow uses depends heavily on how many modules execute and how often the scenario runs.
This means a workflow with five billable actions running 1,000 times per month could consume roughly 5,000 credits, while a more complex workflow could consume much more.
Make Pros
- Visual control: Complex automation logic is easier to inspect on a visual canvas.
- Strong branching capabilities: Routers and filters support sophisticated conditional workflows.
- Large integration ecosystem: 3,000+ apps cover a broad range of business software.
- Flexible API connectivity: HTTP, webhooks, and custom apps expand what can be automated.
- Powerful data manipulation: Built-in transformation tools reduce the need for external scripts.
- Growing AI capabilities: AI integrations, Make AI Tools, AI Agents, MCP, and AI Mapping make the platform increasingly useful for AI workflows.
- Free plan: Users can test real scenarios without paying.
Make Cons
- Steeper learning curve: Make can take longer to learn than simpler automation tools.
- Credit usage can be difficult to estimate: Complex scenarios can consume credits quickly.
- Advanced workflows require careful debugging: More flexibility also means more opportunities for mapping or logic errors.
- Visual complexity increases with large scenarios: Very large workflows can become difficult to navigate.
- Some AI features can change quickly: Agentic automation is evolving rapidly, so functionality and pricing may shift.
Who Is Make Best For?
Marketers
Marketing teams can automate lead routing, campaign reporting, content workflows, CRM updates, social publishing, and AI-assisted content processes.
Creators and Publishers
Creators can automate content repurposing, publishing, asset movement, notifications, and AI-assisted production pipelines.
Small Businesses
Small businesses can use Make to connect tools that otherwise require repetitive manual updates between CRM, spreadsheets, forms, email, accounting, and project-management software.
Agencies
Agencies can create reusable automations for clients, connect multiple SaaS tools, and build more customized workflows than simpler no-code automation tools typically allow.
Operations Teams
Operations teams benefit from Make’s data transformation, routing logic, webhooks, APIs, error handling, and observability.
Technical Users
Users comfortable with APIs, JSON, data mapping, and more advanced logic can take advantage of Make’s low-code capabilities, including custom API integrations and Make Code.
Make vs Zapier
Make and Zapier are both major automation platforms, but their strengths differ.
Make emphasizes visual control, complex branching, detailed data manipulation, and lower-level workflow visibility. Zapier emphasizes ease of setup, a larger app catalog, and a more guided trigger-action experience.
Make can be more attractive when:
- Your workflows have multiple branches.
- You need advanced data transformations.
- You want to see the entire automation visually.
- You frequently use APIs, webhooks, iterators, or aggregators.
- You want more control over complex AI workflows.
Zapier can be more attractive when:
- You prioritize fast setup.
- You need the broadest possible app catalog.
- Your automations are relatively straightforward.
- You prefer a more guided workflow-building experience.
For a detailed breakdown of both platforms, read our full Make vs Zapier comparison.
Make for AI Automation
Make has become increasingly relevant for AI workflows because it can connect AI models with the rest of a business stack.
A typical AI automation might:
- Receive data from a form or database.
- Send content to an AI model for classification or generation.
- Route the result based on the AI output.
- Update a CRM or project-management system.
- Notify a team member.
- Store the result for reporting or future use.
With Make AI Agents, the AI layer can also be given tools and context so it can decide which actions to perform within defined boundaries.
Is Make Worth It in 2026?
Make is worth considering if you need more control than a basic trigger-action automation tool provides.
The Free plan is enough to learn the visual builder and test simple workflows. Core is a logical step for users who need more credits, one-minute scheduling, unlimited active scenarios, and API access.
Pro is better suited to users who need stronger execution controls, variables, and better logging. Teams and Enterprise become more relevant as collaboration, governance, and scale become more important.
The most important factor is not simply plan price. Users should estimate how many scenario actions they expect to run each month because credit consumption determines the real cost of operating Make at scale.
Frequently Asked Questions
Does Make have a free plan?
Yes. Make currently offers a Free plan with up to 1,000 credits per month.
How much does Make cost?
At the current 10,000-credit monthly configuration, Core starts at $12 per month, Pro at $21, and Teams at $38. Enterprise uses custom pricing.
What is a Make scenario?
A scenario is an automated workflow that connects apps and defines how data moves between them.
How do Make credits work?
Most module actions consume one credit. More complex or AI-related actions may consume more, while some router and error-handler steps do not count.
Can Make use AI?
Yes. Make supports hundreds of AI-related integrations and offers AI Mapping, Make AI Tools, AI Agents, and MCP capabilities.
Is Make better than Zapier?
They are designed around different strengths. Make emphasizes visual control and complex workflows, while Zapier emphasizes ease of use and a larger app ecosystem. The better fit depends on the workflow.
Final Thoughts
Make is one of the most capable visual automation platforms for users who want to build workflows that go beyond simple app-to-app actions.
Its combination of visual orchestration, routers, filters, data manipulation, API connectivity, AI integrations, and emerging agentic automation makes it especially useful for complex business processes.
The learning curve is higher than simpler automation tools, and credit usage requires planning. But for users who need flexibility, transparency, and detailed control over automation logic, Make remains a strong option in 2026.
The best way to evaluate it is to use the Free plan to build one real workflow, monitor how many credits it consumes, and then decide whether Core or a higher tier provides enough value for your actual automation volume.