Make: The Visual Automation Platform That Connects Everything with AI

Photo by Alina Grubnyak on Unsplash

Every repetitive task in your workflow is a candidate for automation. Copying data between apps, sending notifications when conditions are met, processing form submissions, synchronizing spreadsheets — these tasks steal hours from your week. Make (formerly Integromat) is the automation platform that handles all of this through an intuitive visual canvas, powerful logic, and increasingly deep AI integration.

What is Make?

Make is a visual automation platform that connects applications through “scenarios” — flowchart-style workflows where each step is an app action. Unlike code-based automation, Make lets you build complex multi-step workflows by connecting visual blocks, configuring data transformations, and setting conditions, all without writing code.

Key differentiators from competitors like Zapier:

• Visual canvas: See your entire workflow as a diagram, not a list
• Complex logic: Branching, loops, iterators, aggregators, error handling
• Data transformation: Built-in tools to manipulate, filter, and reshape data
• Better pricing: Operations-based pricing vs. task-based (often cheaper at scale)
• AI modules: Native integration with OpenAI, Claude, Gemini, and others

Core Concepts

Scenarios

A scenario is a complete automation workflow. It consists of:

• Trigger module: What starts the automation (new email, webhook, schedule)
• Action modules: What happens next (create record, send message, call API)
• Router: Split one flow into multiple parallel paths
• Filter: Only continue if conditions are met
• Error handlers: What to do when something fails

[Trigger: New Google Form submission]
    ↓
[Google Sheets: Add row]
    ↓
[Router] ──→ [If score > 80] ──→ [Gmail: Send congratulations]
         └──→ [If score ≤ 80] ──→ [Gmail: Send improvement resources]
    ↓
[Slack: Notify #team-results channel]

Modules

Each app integration is a module. Examples:

• Google Sheets: Watch Rows — triggers when a new row is added
• OpenAI: Create a Completion — sends a prompt to GPT and gets a response
• Slack: Create a Message — posts to a Slack channel
• HTTP: Make a Request — calls any REST API
• JSON: Parse JSON — transforms JSON data

Make supports 1,500+ apps with thousands of modules across them.

Operations

Make’s usage is measured in operations — each module execution counts as one operation. A scenario with 4 modules running 100 times = 400 operations.

Getting Started

Setting Up Make

1. Sign up at make.com
2. Create a new Scenario
3. Click the empty circle to add your first module
4. Search for your trigger app (e.g., “Gmail”)
5. Select the trigger event (e.g., “Watch emails”)
6. Connect your Google account
7. Configure the trigger (which folder, what conditions)
8. Add action modules by clicking the + button

Your First Scenario: Email → Spreadsheet

A practical beginner scenario:

1. Trigger: Gmail → Watch emails (filter: from a specific sender)
2. Module 2: Google Sheets → Add a Row
   • Map: Subject → Column A, Sender → Column B, Date → Column C, Body → Column D
3. Schedule: Run every 15 minutes
4. Turn on the scenario

Every email from that sender now automatically logs to your spreadsheet. This is automation at its simplest — and Make makes it take about 10 minutes to set up.

AI Integration in Make

Make has excellent native AI integrations that enable intelligent automation workflows:

OpenAI Module

The most-used AI module:

[New customer email arrives]
    ↓
[OpenAI: Create a Completion]
  - Model: gpt-4o
  - Prompt: "Classify this email as: inquiry, complaint, praise, or other.
              Email: "
    ↓
[Router: Branch by classification result]
    ├─→ [inquiry] → [CRM: Create ticket]
    ├─→ [complaint] → [Slack: Alert #customer-support + Priority: High]
    └─→ [praise] → [Google Sheets: Log to testimonials sheet]

Practical AI Automation Examples

Content Processing Pipeline:

[RSS Feed: New article]
    ↓
[OpenAI: Summarize article in 3 sentences]
    ↓
[OpenAI: Generate 3 tweet variants from summary]
    ↓
[Buffer: Schedule tweets across the week]

Smart Form Response:

[Typeform: New submission]
    ↓
[OpenAI: Generate personalized response based on form answers]
    ↓
[Gmail: Send personalized email to respondent]
    ↓
[Notion: Create follow-up task with AI-generated action items]

Document Intelligence:

[Google Drive: New PDF uploaded to /incoming folder]
    ↓
[PDF.co: Extract text from PDF]
    ↓
[OpenAI: Extract key fields (date, amount, vendor, invoice#)]
    ↓
[Google Sheets: Add row to expense tracking sheet]
    ↓
[Slack: Post summary to #finance channel]

Photo by Clint Adair on Unsplash

Advanced Features

Data Transformation

Make’s built-in transformation functions are powerful:

// String manipulation
                // Lowercase email
              // Remove whitespace
            // String to array

// Date/time

               // Date 7 days from now

// Math
     // Add 10% tax, round to 2 decimal places

// Arrays
               // Count items
         // Extract field from all items
    // Sum all prices

Iterator and Aggregator

For processing lists:

[Google Sheets: Get rows]  // Returns array of 50 rows
    ↓
[Iterator]  // Processes each row individually
    ↓
[OpenAI: Classify row content]
    ↓
[Google Sheets: Update row with classification]
    ↓
[Aggregator]  // Collect all results back together
    ↓
[Slack: "Processed 50 items: X inquiries, Y complaints, Z other"]

Webhooks

Make can receive data from any service via webhook:

1. Add a Webhook module as your trigger
2. Make generates a unique URL: https://hook.eu1.make.com/abc123...
3. Configure your external service to POST to that URL
4. Make receives the data and processes it

This makes Make compatible with virtually any service that can send HTTP requests — including custom internal tools and scripts.

Error Handling

Production automations need error handling:

[Main workflow modules]
    ↓ (on error)
[Error Handler: Send Slack alert with error details]
    ↓
[Error Handler: Add to error log spreadsheet]
    ↓
[Error Handler: Retry after 15 minutes OR stop]

Configure per-module: Ignore (skip and continue), Rollback (undo all changes), or Break (stop with error notification).

Scheduling

Scenarios can run on:

• Specific intervals: Every 15 minutes, 1 hour, 4 hours, daily
• Specific times: Daily at 9:00 AM
• On-demand: Triggered by webhook or another scenario
• Immediately: When a trigger event occurs (real-time)

Make vs. Zapier vs. n8n

The three major automation platforms compared:

Choose Make when: You need complex logic, loops, and data transformation in a hosted solution
Choose Zapier when: You prioritize simplicity and the widest app selection
Choose n8n when: You want full control, self-hosting, or developer-grade customization

Pricing

Operations can be purchased as add-ons. Most small business automations run comfortably on the Core plan.

Real-World Automation Ideas

For Sales Teams

• New Typeform lead → Qualify with AI → Add to CRM → Assign to rep → Slack notification
• Closed-won deal → Generate contract → Send via DocuSign → Create onboarding tasks in Asana

For Marketing Teams

• New blog post published → Generate social variants via AI → Schedule across platforms → Track performance
• Monthly analytics report → Pull from Google Analytics → AI summary → Format → Email to stakeholders

For Operations

• Invoice received (email) → Extract data with AI → Log to spreadsheet → Route for approval
• Support ticket created → AI categorize & prioritize → Route to correct team → SLA timer starts

For Developers

• GitHub issue tagged “bug” → Create Jira ticket → Notify Slack → AI draft investigation notes
• API error rate exceeds threshold → PagerDuty alert → Create incident Notion page → Brief on-call

Getting the Most Out of Make

1. Start simple: Build a 2–3 module scenario first, confirm it works, then add complexity

2. Use the History tab: Every scenario execution is logged with full data — invaluable for debugging

3. Test with a single execution: Before activating a scenario, use “Run once” to test with real data

4. Leverage community templates: Make has hundreds of pre-built scenario templates — start from one instead of scratch

5. Use custom variables: Store dynamic values (API keys, shared data) in scenario variables instead of hardcoding

6. Monitor with Make’s dashboard: Set up email notifications for scenario errors so you know when automations break

Limitations

• Learning curve: Make is more complex than Zapier — plan for an hour or two to understand the canvas paradigm
• Operations can add up: Complex AI-enabled scenarios with high volume can exceed plan limits quickly
• Fewer app integrations than Zapier: 1,500 vs. 6,000+ — though HTTP modules bridge most gaps
• Execution speed: Free plan runs every 15 minutes minimum; faster scheduling requires paid plan

Conclusion

Make represents the most powerful visual automation platform available for non-developers who want real sophistication. Where Zapier prioritizes ease and breadth, Make prioritizes depth and logic. For automations beyond the basics — multi-path routing, data transformation, AI processing, loop handling — Make is often the right choice.

If you’re still manually doing repetitive work between apps, or running a Zapier account and hitting its logic limitations, Make is worth exploring. Start with the free tier and a simple 3-module scenario. You’ll be scheduling complex automations within an afternoon.

Start free at make.com

What repetitive task are you hoping to automate? Share your use case in the comments!