Make
Visual automation platform with 1,800+ app integrations and AI-powered workflows
Editorial take
Make is the most visually capable automation platform available. Its canvas-based interface makes complex multi-step workflows easier to reason about than Zapier's linear format. The free tier is generous enough for light use, and paid plans offer strong value for teams automating high-volume processes.
What is Make?
Make (formerly Integromat) is a visual automation platform that lets you connect apps and services and automate workflows without writing code. You build "scenarios" - flowcharts of modules connected by lines - that run on a schedule or in response to triggers. Unlike Zapier's linear sequences, Make's visual canvas supports branching logic, loops, error handling, and complex multi-path workflows.
Make has built-in AI capabilities: you can call OpenAI, Claude, or Gemini directly as modules in any workflow, process documents with AI, and use its HTTP module to hit any API.
The free plan includes 1,000 operations per month, which is enough to test and run light workflows. Paid plans start at $9/month for 10,000 operations. Make costs significantly less than Zapier for equivalent functionality and is substantially more capable for complex logic. The learning curve is steeper than simpler tools, but the flexibility payoff is substantial.
Make has a large community with thousands of pre-built templates. For anyone building AI-powered automations that need to talk to real business tools - CRMs, Google Workspace, Slack, databases - Make is one of the strongest options available.
Best for
Teams needing wide app coverage without code
Key strength
1800+ app integrations in a visual workflow builder
Score breakdown (out of 5)
What you would use it for
- →Connecting disparate SaaS tools without writing code via a visual workflow canvas
- →Building data processing pipelines between APIs and databases
- →Automating content publishing from form submissions, RSS feeds, or webhook triggers
- →Syncing CRM and marketing tools across an organization with conditional routing
- →Routing and transforming incoming data to multiple destinations based on custom logic
Pros & Cons
👍 Pros
- ✓More powerful than Zapier for complex logic
- ✓1,800+ integrations covers virtually every tool
- ✓Free tier is functional
- ✓AI steps are first-class modules in any workflow
- ✓Cheaper than Zapier for equivalent power
- ✓Large community with pre-built templates
- ✓Data stores for persisting state between workflow runs
👎 Cons
- ✗Steeper learning curve than simpler tools
- ✗Operation-based pricing can get expensive at scale
- ✗No self-hosted option
- ✗Visual canvas can become cluttered with complex scenarios
Key Features
- ✓ Visual scenario builder with branching logic
- ✓ 1,800+ app integrations (Google, Slack, Notion, CRMs, databases)
- ✓ Native AI module: call OpenAI, Claude, Gemini as workflow steps
- ✓ Scheduled and webhook-based triggers
- ✓ Data stores for persisting state between runs
- ✓ Error handling and retry logic
- ✓ Thousands of community templates
Available on
Integrates with
Make Pricing
✅ Make has a free plan - no credit card required to start.
Free
- ✓1,000 operations/month
- ✓Unlimited active scenarios
- ✓1,800+ app integrations
- ✓AI module (OpenAI, Claude, Gemini)
- ✓5-minute minimum schedule interval
Core
- ✓10,000 operations/month
- ✓1-minute minimum schedule interval
- ✓Full data store access
- ✓Email support
Pro
- ✓10,000 operations/month (higher add-on rates)
- ✓Priority execution
- ✓Full scenario history
- ✓Custom variables
Video Review
Make vs Competitors
Latest news
From the blog
Anthropic's watermarking in Claude. A critic says it adulterates writing itself.
A Daring Fireball analysis argues that Anthropic's text watermarking implementation in Claude compromises writing quality and represents a misguided approach to AI transparency.
Aug 18, 2026
Researchers extract hidden reasoning from LLM APIs. Proprietary model internals are leaking.
Security research reveals methods to extract internal reasoning traces and model capabilities from proprietary LLM APIs, raising concerns about intellectual property theft and prompt injection vulnerabilities.
Aug 17, 2026
Claude now marks its own output. Anthropic's watermarking approach explained.
Anthropic published official guidance on how Claude watermarks and marks AI-generated content for transparency. The documentation outlines Claude's approach to content authenticity and detection.
Aug 15, 2026
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