CloudyBot vs Make (Integromat)
Make (formerly Integromat) is a powerful visual scenario builder — you connect apps by drawing workflows on a canvas. CloudyBot takes a different approach: instead of designing workflows visually, you describe what you want in natural language and an AI agent with a real cloud browser figures out how to do it.
Choose CloudyBot when…
- You want AI reasoning to plan and adapt steps instead of wiring every module by hand
- You need a real cloud browser to log in, navigate, scrape, and interact like a human
- You want rolling memory across runs so the agent builds on what it learned last time
- You want hard monthly billing caps — predictable spend with pauses, not operation overages
- You prefer natural language over designing and maintaining a visual graph
Make fits better when…
- You want a visual workflow builder with drag-and-drop modules you can audit at a glance
- You need 1500+ app modules and tight integrations without AI interpretation
- You need precise branching, filters, and error handlers you define explicitly on the canvas
- You have a developer-friendly team that maintains scenarios, webhooks, and data mapping long-term
Quick links
Full 2026 comparison table · Plans & limits
Side by side
| Capability | Make | CloudyBot |
|---|---|---|
| AI reasoning | ✗ rule-based scenarios | ✓ |
| Visual workflow builder | ✓ drag-and-drop | ✗ natural language |
| Real cloud browser | ✗ HTTP modules only | ✓ |
| Recurring Specialists | scenarios on schedule | ✓ AI-driven cron |
| Hard monthly caps | operations-based | ✓ flat caps, pauses |
| WhatsApp / Telegram | via modules | ✓ native |
| File workspace | ✗ | ✓ |
| Free tier | ✓ 1,000 ops/mo | ✓ 30 AI Tasks |
| Complex branching logic | ✓ visual routers | AI decides branches |
Frequently asked questions
Can CloudyBot replace Make?
For work that needs AI reasoning, a real cloud browser, or instructions in natural language instead of a drawn scenario — yes. For visual, operations-based integrations across 1500+ app modules with branching you design on a canvas, Make is often the stronger fit. Many teams use both.
Does CloudyBot have modules like Make?
CloudyBot emphasizes native Notion, Google Sheets, and GitHub plus a cloud browser for any website. Make offers 1500+ dedicated app modules and HTTP/API tools. The models are different: fewer named connectors vs AI plus browser for arbitrary sites.
How do CloudyBot and Make compare on pricing?
Make typically bills by operations consumed per cycle. CloudyBot uses flat monthly plans with hard caps — when you hit the limit, the service pauses instead of charging overages. Compare both against your expected monthly volume.
Can I use CloudyBot and Make together?
Yes. Teams often use Make for predictable visual pipelines (sync records, transform data between apps) and CloudyBot for browsing, research, or narrative tasks that would be slow to wire step-by-step. They are complementary.