Make (Integromat): The Visual AI Automation Platform Complete Guide 2026

Make (Integromat): The Visual AI Automation Platform Complete Guide 2026

Automation and workflow Photo by Alexandre Debiève on Unsplash

If Zapier is the iPhone of automation (polished, accessible, expensive), Make (formerly Integromat) is the Android — more powerful, more flexible, and significantly more affordable. In 2026, Make has become the go-to automation platform for technical users, agencies, and teams who want to build genuinely complex workflows with AI capabilities baked in.

What is Make?

Make is a visual automation platform that connects apps and services through a drag-and-drop scenario builder. Unlike Zapier’s linear “trigger → action” model, Make uses a node-based canvas that supports:

  • Branching logic (if/else routes)
  • Loops and iterators
  • Error handling and fallbacks
  • Parallel execution paths
  • Data transformation with built-in functions
  • AI modules (OpenAI, Anthropic, Google AI, and more)

Make vs. Zapier vs. n8n

Feature Make Zapier n8n
Visual interface Node canvas Linear builder Node canvas
Pricing $9/month (10K ops) $20/month (750 tasks) Free (self-host)
Complexity ceiling High Medium Very high
AI integrations Native Native Via nodes
Self-hosted option No No Yes
Learning curve Medium Low High

Core Concepts

Scenarios

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

  • One trigger (what starts the workflow)
  • One or more modules (apps and actions)
  • Routes (conditional branches)

Operations

Make charges per operation — each module execution counts as one. A scenario with 5 modules that runs 100 times = 500 operations.

Bundles

A bundle is a unit of data passing through the scenario. If your trigger returns 10 email records, Make processes each as a separate bundle.


Getting Started

Creating Your First Scenario

  1. Sign up at make.com
  2. Click Create a new scenario
  3. Click the large + icon to add a trigger module
  4. Search for your trigger app (e.g., Gmail)
  5. Select trigger event (e.g., “Watch emails”)
  6. Connect your account and configure filters
  7. Click + again to add action modules
  8. Click Run once to test
  9. Turn on the schedule to automate

Example: Email-to-Notion AI Summarizer

Trigger: Gmail → Watch emails (filter: important) Module 1: OpenAI → Create completion

  • Prompt: “Summarize this email in 3 bullet points and identify any required actions: “ Module 2: Notion → Create a database item
  • Database: “Inbox Actions”
  • Title:
  • Summary:
  • Date:

This scenario automatically summarizes every important email and logs it to Notion — no manual work required.


AI Modules in Make (2026)

OpenAI Module

The most-used AI integration. Supports:

  • Chat completions (GPT-4o, o3, etc.)
  • Image generation (DALL-E 3)
  • Audio transcription (Whisper)
  • Text-to-speech
Common patterns:
- Classify incoming data (support tickets, emails)
- Generate content from templates
- Extract structured data from unstructured text
- Translate content automatically

Anthropic (Claude) Module

  • Claude 3.5 Sonnet and newer models
  • Best for: Long document analysis, nuanced writing
  • Great for processing large batches of text

Google AI (Gemini) Module

  • Gemini 2.0 Flash and Pro
  • Multimodal: Can process images alongside text
  • Ideal for: Image analysis workflows

HTTP Module (Any AI API)

For AI providers not natively supported, use the HTTP module to call any REST API directly.


Advanced Workflows

Customer Support Automation

Workflow diagram Photo by ThisisEngineering on Unsplash

Trigger: New support email arrives
→ OpenAI: Classify as [billing / technical / general]
→ Router: Branch by classification
  → Billing route: Extract order number → Look up in Shopify → 
                    Generate personalized response → Send via Gmail
  → Technical route: Search knowledge base → Generate step-by-step 
                     solution → Send with relevant docs
  → General route: Generate friendly response → Send via Gmail
→ Airtable: Log all tickets with classification, response, timestamp

Social Media Content Pipeline

Trigger: RSS feed - new blog post
→ OpenAI: Generate 3 social media variants 
          (Twitter thread, LinkedIn post, Instagram caption)
→ Router: Split into 3 parallel paths
  → Twitter: Schedule via Buffer
  → LinkedIn: Schedule via LinkedIn module
  → Instagram: Schedule via Later
→ Notion: Archive all generated content

Lead Enrichment Pipeline

Trigger: New form submission (Typeform/Tally)
→ Clearbit: Enrich lead with company data
→ OpenAI: Score lead quality (1-10) based on ICP criteria
→ Router: Branch by score
  → Score 8-10: Add to Salesforce as High Priority, 
                notify sales team on Slack
  → Score 5-7: Add to HubSpot nurture sequence
  → Score 1-4: Add to cold sequence only

Data Transformation

Make includes powerful built-in functions for transforming data without code:

// String functions
formatDate(now; "DD/MM/YYYY")           // Format dates
trim(text)                               // Remove whitespace
replace(text; "old"; "new")             // Replace substrings
parseJSON(jsonString)                    // Parse JSON

// Math
round(number; 2)                         // Round to decimal
max(1; 5; 3)                            // Find maximum

// Array functions
length(array)                            // Count items
first(array)                             // Get first item
map(array; item; item.name)             // Extract property

Pricing (2026)

Plan Price Operations Scenarios
Free $0 1,000/month 2 active
Core $9/month 10,000/month Unlimited
Pro $16/month 10,000/month Unlimited + advanced tools
Teams $29/month 10,000/month Team features
Enterprise Custom Custom Full feature set

Operations can be purchased in add-on packs for all paid plans.

Make vs. Zapier Cost Comparison

For a workflow processing 1,000 items/day with 5 steps each:

  • Make Core: ~$9/month (150K ops)
  • Zapier Starter: ~$74/month (50K tasks, 5 zaps per task = 1 task)

Best Practices

1. Always Add Error Handlers

Right-click any module → Add error handler → Choose: Ignore, Resume, Rollback, or Commit

2. Use Filters Strategically

Add filters between modules to prevent unnecessary operations:

  • Route email: filter by label contains "important"
  • Skip empty results: filter by ` > 0`

3. Test Before Scheduling

Always use Run Once mode to verify each path works correctly before enabling the schedule.

4. Monitor Operations Usage

Check your operations dashboard weekly. Identify high-cost scenarios and optimize them with smarter filters.

5. Use Data Stores

Make’s built-in Data Stores (key-value database) are perfect for tracking state between scenario runs:

  • Track which records have been processed
  • Store configuration values
  • Cache API responses to save operations

The Bottom Line

Make is the most powerful value-for-money automation platform in 2026. For technical users and developers, its node-based interface, complex routing support, and generous operation pricing make it far superior to Zapier for non-trivial workflows. The AI modules integration means you can build truly intelligent automation pipelines — not just data-moving glue.

Rating: 9/10 — Best automation platform for users who want power without n8n’s self-hosting complexity


What’s your most creative Make automation? Share it in the comments below!