n8n vs Make: which platform for AI Agent automation?
In the 9 jobs of an AI Agent, the job "run multi-step workflows" always triggers the follow-up question: connected with what? The two names that come up most are n8n and Make. Here they are compared on what matters to a small business: money, difficulty, and data control.
The core difference: n8n charges per workflow run (a 50-step flow run once is still one run) and its community edition can be self-hosted free on your own server - best for complex, high-volume flows and data you must keep. Make is pure cloud, billed per operation, with the friendliest drag-and-drop - best for short, low-frequency flows. Rule of thumb: start on Make for small tasks; move to n8n past a few thousand runs a month, with long AI steps, or when customer data must stay on your infrastructure. Automate these three first: new orders, repetitive Q&A, the weekly report.
Two pricing philosophies - and why they decide everything
Make counts every operation: receiving a message is 1, writing to a sheet is 1, calling an AI model is 1, sending a Telegram alert is 1. A 10-step flow running 1,000 times a month is 10,000 operations - cost scales with complexity. n8n counts workflow runs: 10 steps or 50, one run is one run; and the self-hosted community edition has no run limit at all - you only pay for a small VPS (a few dollars a month goes far). The practical consequence: the more AI steps your flows have, the cheaper n8n becomes relatively - and agent-driven flows are exactly the many-step kind.
| Criterion | n8n | Make |
|---|---|---|
| Pricing | Per workflow run; self-hosted community edition is free | Per operation - cost grows with step count |
| Where it runs | Self-hosted or cloud - your data, your server | Cloud only - zero server maintenance |
| Learning curve | Some technical setup when self-hosting | Friendliest drag-and-drop for non-engineers |
| Best for | Complex, high-volume AI workflows | Short flows at low frequency |
When to choose Make, when to switch to n8n?
Choose Make when you have no engineer and need a few short flows running today - new order pings Telegram, a form lead lands in a sheet, a post gets cross-published. At low volume the cost is negligible and the interface is the gentlest on the market. Switch to (or start on) n8n when one of three things happens: flows run thousands of times a month and the per-operation bill starts climbing; flows contain multiple AI steps - classifying messages, drafting replies, summarizing conversations - which burn operations fast; or customer data must stay on your own server, an increasingly common requirement. In practice the most common setup we see at Chạm AI is both: Make for marketing odds and ends, self-hosted n8n as the backbone connecting the AI agent to the CRM, inventory and chat channels.
The 3 workflows to automate first - on either platform
One, new orders. Closing message → agent extracts name, items, address → row in the sheet/CRM → Telegram alert to whoever packs. Saves 3-5 minutes per order and kills typos. Two, repetitive Q&A. The AI agent answers the bulk of repeated questions (price, hours, order status) and hands off out-of-scope ones with full context - the single most valuable flow. Three, the weekly report. Monday morning, a workflow compiles orders, revenue and the week's most-asked question into one message for the owner. All three are measured in hours saved - and to turn hours into money, our free ROI calculator does it in a minute.
Comparison based on both platforms' published pricing models and features as of July 2026; plan details change over time - check the official pages before deciding. This article is not sponsored by either platform.
Frequently asked questions
What is the core difference between n8n and Make?
Pricing model and control. n8n charges per workflow run and can be self-hosted on your own server - a 50-step workflow still counts as one run, and your data stays on your infrastructure. Make is a pure cloud service billed per operation - easiest to start with, but the more steps a workflow has, the more each run costs, and data passes through a third-party server.
Which should a small business without engineers choose?
Start with Make if you only need a few simple flows (new order pings Telegram, new lead lands in a sheet) - its drag-and-drop is the most beginner-friendly and needs no server. Move to self-hosted n8n when workflows run thousands of times a month, include long AI steps, or customer data must stay on your own server. Many businesses run both: Make for small tasks, n8n as the backbone.
Which workflows should be automated first?
Three deliver the fastest payback: (1) new orders - turn a closing message into a CRM row plus a Telegram alert; (2) repetitive Q&A - an AI agent answers first and hands off when out of scope; (3) the weekly report - sales and conversation stats compiled into one Monday-morning message. All three are measurable in hours saved.