AI Agents That Think, Not Just Connect
Make.com's visual builder connects apps. Arahi AI's intelligent agents understand your business and act autonomously.
Arahi AI compared with Make
Compare automation intelligence: Make.com vs Arahi AI.
| Feature | Make | Arahi AI |
|---|---|---|
| AI Capability | Limited (beta features) | Native AI agents |
| Setup Method | Complex visual builder | Natural language |
| Learning Curve | Medium-high | Low |
| Agent Behavior | Requires custom setup | Pre-built + custom |
| Natural Language | Not supported | Full support |
| Integrations | 3,000+ | 1,500+ |
| Starting Price | $10.59/mo (annual) | $49/mo |
| Free Tier | 1,000 ops/month | 100 actions/month |
| Intelligence Level | Workflow logic only | AI-powered reasoning |
Pricing
Pay more per action but get AI agents built-in - not just visual workflow connections
Make
- Free — $0
- 1,000 ops
- Core — $10.59/mo
- 10,000 ops (annual)
- Pro — $18.82/mo
- 10,000 ops + features
- Teams — $34.12/mo
- 10,000 ops + team
- Enterprise — Custom
- Contact sales
Arahi AI
- Starter — $49/mo
- 1,000 actions
- Growth — $149/mo
- 2,000 actions
- Pro — $349/mo
- 6,000 actions
Hidden costs
- Complex visual scenarios require significant learning time
- No native AI - requires third-party AI integrations
- Custom logic requires advanced scenario features
Where Make falls short
- Complex Visual Builder
- Make.com's visual builder looks powerful but has a steep learning curve. Building sophisticated workflows takes hours of dragging and connecting.
- Describe what you want in plain English. Arahi AI interprets your request and builds the workflow for you.
- No Native AI Intelligence
- Make.com connects apps but doesn't think. Any AI features require integrating external services like OpenAI separately.
- Arahi AI has built-in intelligence. Agents handle context, follow decision rules, and improve based on your feedback.
- Workflows Don't Understand
- Make.com executes exactly what you configure. If conditions change or edge cases appear, workflows break.
- Agents handle variations and edge cases automatically, asking for help when they can't proceed.
- Hours Building Scenarios
- Creating a sophisticated Make.com scenario means hours in the visual builder, testing connections, handling errors.
- Most Arahi AI agents are built in under an hour using natural language and templates.
Why teams pick Arahi AI
- Built-In Intelligence
- Agents handle context and follow decision rules you set.
- Natural Language
- Build by describing, not by dragging boxes.
- Faster Setup
- Hours to productive vs days learning visual builder.
- Adaptive Handling
- AI handles edge cases without explicit configuration.
- AI-Native Integrations
- All 1,500+ integrations work directly with AI agents.
- Template Library
- Start with proven agent templates.
Frequently asked questions
- Does Make.com have AI capabilities?
- Make.com has beta AI features and can integrate with external AI services like OpenAI, but it's primarily a visual workflow builder. AI is an add-on, not native. Arahi AI is built from the ground up around AI agents.
- How does Make.com's visual builder compare to Arahi AI?
- Make.com uses a visual builder where you drag and connect modules. It's powerful but has a learning curve. Arahi AI uses natural language - describe what you want, and it builds it. Most users find natural language faster and easier.
- Is Make.com cheaper than Arahi AI?
- Make.com Core starts at $10.59/month (annual) vs Arahi AI's $49/month. However, Make.com doesn't include native AI agents - you'd need additional AI service integrations. Arahi AI includes full AI agent capabilities at every price point.
- Which has more integrations?
- Make.com offers 3,000+ integrations vs Arahi AI's 1,500+. However, the key difference is that all Arahi AI integrations work natively with AI agents, while Make.com integrations are for workflow connections only.
- Can Make.com agents think and make decisions?
- Make.com workflows execute exactly what you configure - they don't 'think'. Arahi AI agents use real AI reasoning to understand context, handle variations, and make intelligent decisions within your defined boundaries.
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