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Make (Integromat) AI

Make (Integromat) AI

Visual workflow automation platform with AI capabilities, powerful data transformation, and intuitive drag-and-drop scenario builder.

$9/mo - 10,000 operations/month, unlimited scenarios ✓ Strong Consensus Visit Website ↗

Score Breakdown

8.2
8.2
8.7
Task Autonomy 7.9
7.8 7.6 8.2
Accuracy & Reliability 8.5
8.4 8.4 8.8
Speed & Performance 8.6
8.3 8.4 9.0
Tool Integration 9.2
8.8 9.3 9.6
Safety & Guardrails 8.4
8.2 8.4 8.5
Cost Efficiency 8.9
9.0 8.8 9.0
Ease of Use 8.1
8.2 8.2 8.0
Multi-step Reasoning 8.0
7.8 7.6 8.5

Judge Opinions

Claude Opus 8.2

"Make remains the best visual workflow builder with superior data transformation — complex branching with routers, filters, and iterators gives teams control that simpler platforms lack. With 3,000+ integrations and direct OpenAI/Claude/Google API modules, AI capabilities are functional though not native. The pricing starting at ~$10/mo with transparent operations-based billing is the strongest value proposition in workflow automation."

+ Superior data transformation with routers, filters, and iterators for complex branching
+ 3,000+ integrations with direct OpenAI, Claude, and Google AI API modules
+ Operations-based pricing starting at ~$10/mo is dramatically cheaper than competitors
+ Detailed step-level execution logs enable precise troubleshooting
- Native AI capabilities are limited — requires connecting external AI APIs rather than built-in intelligence
- Steep learning curve for beginners unfamiliar with JSON data structures and field mapping
- Mixed reviews on support quality and error message clarity
GPT-5.2 8.2

"Make is a powerful visual automation platform that shines when you need complex branching, data transformation, and reliable execution logs. Its “AI” story is mostly about plugging LLM calls into workflows rather than fully autonomous agents, but for teams building serious automations, it’s a strong and cost-predictable foundation."

+ Excellent visual scenario builder with rich branching and routing
+ Strong data transformation tools (iterators, aggregations, mapping) for real-world pipelines
+ Large integration catalog plus webhooks and HTTP modules for anything custom
+ Detailed run history and step-level logs make debugging practical
+ Operations-based pricing scales reasonably for many automation-heavy teams
- Steeper learning curve once you move beyond simple linear scenarios
- AI features depend on external model calls and prompt design; not “set-and-forget”
- Operation counts can spike with loops/iterators, increasing cost unexpectedly
- Some connectors and error messages can be finicky, requiring manual troubleshooting
Gemini 3 8.7

"Make (formerly Integromat) remains the visual architect's choice. Its AI features focus on 'App-less' integrations—using AI to parse APIs it doesn't natively support. It's more visual and logical than Zapier, allowing for complex branching and error handling that feels like visual coding."

+ Visual node editor aids in understanding complex logic
+ Cheaper than Zapier for high-volume workflows
+ AI assistant helps generate scenarios and regex patterns
+ Granular control over data execution flow
- Steeper learning curve than Zapier
- AI features feel more like helpers than autonomous agents
- Less 'native' AI agent hosting capability compared to competitors

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"Cost-conscious teams and power users who need sophisticated visual workflow automation with strong data transformation capabilities at a fraction of Zapier's price."

Appears In

Zapier AI vs Make vs n8n