Make (formerly Integromat) is a visual automation platform that connects apps, APIs, and AI models into powerful workflows — without code. In 2026, it’s become an essential tool for anyone looking to automate repetitive tasks, build data pipelines, or connect AI models to their existing tech stack.
While Zapier gets more name recognition, Make offers significantly more power for complex workflows at a competitive price. This guide covers everything you need to know.
What Is Make?
Make is a visual workflow automation tool that lets you:
- Connect 1,500+ apps and services
- Build multi-step automations with a visual drag-and-drop interface
- Schedule workflows to run on triggers or timed schedules
- Process data — filter, transform, iterate, and route
- Integrate AI (OpenAI, Anthropic, Google AI) directly into workflows
Unlike simple “if this, then that” tools, Make handles complex logic: loops, conditional branching, error handling, HTTP requests, data parsing, and more.
Key Features
🗺️ Visual Scenario Builder
Every automation is a scenario — a visual flowchart of modules (app connectors) linked together. You can see exactly what happens at each step, with data flowing between modules like water through pipes.
🔗 1,500+ Integrations
Connect virtually anything: Gmail, Google Sheets, Notion, Slack, Airtable, Shopify, HubSpot, Stripe, OpenAI, Anthropic, Discord, and hundreds more. If an app has a REST API, Make can connect to it via HTTP modules.
🤖 AI Module Support
Native modules for:
- OpenAI — GPT models, DALL-E image generation
- Anthropic — Claude models
- Google AI — Gemini models
- ElevenLabs — Voice generation
- Generic HTTP for any API
🔄 Advanced Data Processing
- Array aggregators — Collect results across multiple iterations
- Routers — Split data into different paths based on conditions
- Iterators — Process items in a list one by one
- Text parsers — Extract data from unstructured text
- JSON/XML parsing — Handle complex data structures
⏰ Flexible Scheduling
Run scenarios on demand, on a schedule (every 15 minutes to once a month), or triggered by incoming webhooks.
How to Use Make
Getting Started
- Go to make.com and sign up
- Click + Create a new scenario
- Add your first module (trigger app)
- Chain modules together
- Test and activate
Building Your First Scenario
Example: Auto-categorize emails with AI
- Module 1: Gmail — Watch Emails (trigger)
- Module 2: OpenAI — Create a Completion
- Prompt: “Categorize this email: . Return JSON: {category: string}”
- Module 3: Router — Split by category
- Branches: Gmail — Add Labels (different label per category)
This runs every 15 minutes, processes new emails, asks GPT to categorize them, and labels them automatically.
Using Webhooks
Make provides instant webhook URLs. Connect any service that can send an HTTP POST (GitHub, Stripe, Typeform, custom apps) to trigger your scenarios instantly.
Error Handling
Add error handlers to modules that might fail — retry logic, alternative paths, or notifications when something breaks.
Popular AI Automation Use Cases
📧 Intelligent Email Processing
- Auto-categorize and label incoming emails
- Extract action items and add to task manager
- Auto-draft responses with GPT and send for human review
📊 Content Pipeline
- Watch RSS feeds → Summarize with Claude → Post to Slack/Notion
- Monitor competitors → AI analysis → Weekly briefing email
- Generate social media posts from blog articles
🗃️ Data Enrichment
- New CRM lead → AI research company/person → Enrich contact record
- Form submission → AI categorization → Route to right team
- Invoice OCR → Extract data → Add to spreadsheet
🛒 E-commerce Automation
- New product review → Sentiment analysis → Flag negatives for support
- Low stock alert → AI-drafted supplier email → Send for approval
- Abandoned cart → Personalized AI follow-up email
📝 Document Processing
- PDF/image uploaded → OCR → AI extraction → Database entry
- Meeting notes → AI summary → Distributed to stakeholders
- Contract received → Key terms extraction → Alert if risky clauses
Make vs Zapier vs n8n
| Feature | Make | Zapier | n8n |
|---|---|---|---|
| Visual editor | Advanced | Basic | Advanced |
| Complexity | High | Medium | High |
| AI integrations | Native | Native | Native |
| Operations/month (free) | 1,000 | 100 | Self-hosted |
| Pricing | $ | $$$ | Free (self-host) |
| Self-hosted | ❌ | ❌ | ✅ |
| Learning curve | Medium | Low | High |
| Best for | Power users | Simple zaps | Developers |
Pricing (2026)
| Plan | Price | Operations/month | Active scenarios |
|---|---|---|---|
| Free | $0 | 1,000 | 2 |
| Core | $9/mo | 10,000 | Active |
| Pro | $16/mo | 10,000 | Active + priority |
| Teams | $29/mo | 10,000 | Team features |
| Enterprise | Custom | Custom | Custom |
Operations = each module execution counts as 1 operation. A 5-module scenario costs 5 ops per run.
Limitations
- Learning curve — More powerful than Zapier but also more complex; plan to spend a few hours learning
- Operations cost — Data-heavy workflows (processing every row in a spreadsheet) can burn through operations quickly
- No self-hosting — Unlike n8n, Make is cloud-only
- Some niche integrations missing — If you need a very specific business tool, you may need to use the HTTP module
- Execution time limits — Free/Core plans have execution time limits per scenario run
Tips for Power Users
- Use webhooks over polling — Instant triggers are faster and cheaper on operations
- Filter early — Add filter conditions early in the flow to stop processing irrelevant data
- Bundle data — Use aggregators to batch API calls instead of one-per-item
- Test with sample data — Use the test run feature before activating to catch errors
- Error routes — Always add error handling to external API calls; they will fail eventually
Verdict
Make is the power user’s choice for no-code automation. It handles workflow complexity that breaks Zapier, at a fraction of the price. The AI integrations are first-class, making it ideal for building AI-powered automation pipelines.
If you’re willing to invest a few hours learning it, Make can automate dozens of hours of repetitive work per month.
Rating: 9/10 Best for: Power users, small teams, agencies, developers who want no-code speed