Make or n8n: what to choose for a task, and when you need neither
Somebody reads ten reviews, decides nothing and builds no automation. Meanwhile both platforms cover eighty percent of standard tasks identically. Below are four questions that give an answer in two minutes, and a check on whether you need a builder at all.
Somebody reads ten reviews, decides nothing and builds no automation. Meanwhile both platforms cover eighty percent of standard tasks identically. Below are four questions that give an answer in two minutes, and a check on whether you need a builder at all.
The choice people get stuck on before starting
Somebody has decided to automate his processes. He opens a search and sees two camps: one says a visual builder is simpler and faster, the other that a flexible platform is more powerful and cheaper.
He read ten reviews, decided nothing and built no automation.
This is the case where choosing the tool eats more time than the work. And both options cover eighty percent of standard tasks, and across those eighty percent there is no difference at all.
Let us go through where the difference is and what to decide by.
First: do you need a builder
The question worth asking before choosing.
Three categories of task, and only one of them is about these tools.
The task is mechanical, recurring, with hard rules. "An email arrived with this subject — create a row in the spreadsheet." That is where a connection builder is needed.
The task requires understanding the content. "Read the email and decide whether it is a complaint or an order." Rules will not solve that — an AI agent or an assistant is needed.
The task is producing content or documents. "Turn the content plan into a month of carousels." Here what is needed is not a connection builder but a chain with generation, where each step's result feeds the next.
The practical conclusion: a substantial part of what people go to builders for is solved by ready assistants or chain templates. Check that before you start choosing between two platforms.
A visual builder: when it is the answer
What it is. You assemble a connection with the mouse from ready blocks. Each service is a module, with arrows between them.
Strengths:
The entry threshold is the lowest. A person makes his first working connection in an hour with no preparation.
Visibility. The diagram is visible as a whole; it can be shown to a client and explained in two minutes.
There are many ready integrations with popular services, connected in a couple of clicks.
Weaknesses:
Complex logic on a canvas becomes unreadable. A dozen conditions and branches turn into a web you yourself will not understand in a month.
You pay for the volume of operations as it grows. At large volumes that becomes a noticeable cost line.
Anything non-standard runs into a ceiling: if there is no ready block, it is hard to get round.
Who it suits: those starting out; those building connections for clients and having to explain them; those with standard tasks and modest volumes.
A flexible platform: when it is the answer
What it is. The same visual assembly, but with the ability to write logic where the ready blocks fall short.
Strengths:
There is practically no ceiling. Anything missing gets written.
It can be deployed on your own machine. For companies with data handling requirements that is not an advantage but a condition: the information does not leave the building.
At large volumes the economics are better — you pay for infrastructure rather than for every operation.
Weaknesses:
The entry threshold is higher. Not programming, but not two clicks either.
Deploying it yourself means updates, compatibility and breakages are now your concern.
It is harder to show and hand over to a client.
Who it suits: those with large volumes; those working with sensitive data; those who have hit the builder's ceiling.
How to choose in two minutes
Four questions. The answers give you a decision with no reviews read.
Are you doing this for yourself or to sell? For yourself, take whichever you will master faster. To sell, take what you can hand over and explain to a client.
How many operations a month? Hundreds — there is no difference in money. Tens of thousands — do the arithmetic.
Is there data that must not leave the building? If yes, the question is closed: you need the one that deploys on your own machine.
Are you willing to work it out if there turns out to be no ready block? No — the visual builder. Yes — the flexible platform.
And a general rule: start with the simpler one. Move across when you hit a specific named limitation — "there is no such block", "too expensive at this volume". "People say the second one is more powerful" is not a limitation.
The rule that matters more than the choice
Describe the process first, assemble second.
If the process is done differently every time, a connection will lock that state in and make it harder to fix. Automated chaos is chaos that now also runs by itself.
Describe it in words: what happens, where it comes from, what should come out, what the exceptions are. If you cannot describe it, it is too early to automate, and the platform has nothing to do with it.
A second rule: any connection must be able to report an error. A connection that broke silently is the worst case: for a week you think the process is running when it has stopped.
What people actually buy
Here is the money part, and the conclusion is unexpected.
The client does not care what you assembled it on. He is buying not a platform but the fact that enquiries stopped getting lost and the report arrives by itself.
Two things follow.
The choice of tool is your own internal matter and does not need discussing with the client. The conversation is about the result.
But transferability matters. If in a year the client wants to change something himself or hand it to another contractor, the diagram has to be readable. That is an argument for the more visual option on client projects, even if you personally prefer the other.
The order of prices. In our bot's feed of 5 986 jobs over four months: a system or a pipeline $490–1 460, against a median one-off job of around $60. Those are different units of measurement: there an operation, here a result with stages and a handover.
What the platform offers for Make and n8n
Automation templates — over 3 000 ready scenarios. Before choosing a platform, look at whether what you need has already been built. Most tasks are standard.
The descriptions are open to everyone, ordinary templates come with Creator, Make, N8N and Full, advanced ones with Full.
If the task is not about connections between services but about content production (clips, images, voice), there is Cerebrum (https://aiskills.team/cerebrum): you describe the task in plain words, it picks the models, shows the price before launch and charges your balance as used. The AI SKILLS connector for Claude (Full plan) does the same right inside Claude.
Over 200 AI assistants across 14 categories — if the task requires understanding rather than a rule. From the Basic plan.
The "AI Agents" express course — twenty ready projects and four platforms. $9, included in the Creator, Make, N8N and Full plans. Not included in the three free days of Basic.
Registration is free and opens three days of full Basic access.
Where to start today
One action, and it is not about choosing a platform.
Start a list of tasks you did by hand more than once this week. Keep it for a week, automating nothing.
After a week look at the list and answer one question for each task: is this a rule or understanding?
Rules go to a builder, any of them. Understanding goes to assistants. And only after that does it make sense to think about which platform to open.
The blunt comparison from the course
In the programme the two platforms are compared directly, with no diplomacy.
Data handling. Make processes data one bundle at a time; n8n works with whole arrays. At large volumes that is a fundamental difference in speed and in how the logic is written.
The phrasing that explains everything else: Make is renting a flat, n8n is building your own house.
What follows in money terms. Large businesses fear two things: leaks and bills from cloud platforms where every action is metered. Deploying n8n on the client's server through Docker gives him unlimited automations for a fixed $5–10 a month.
What Make gives in exchange. Speed of entry and ready connections. The phrasing from the course: 99% of companies are not suited by template bots, they need bespoke scenarios.
Two separate courses for two platforms
The Make plan — the course “Automations in Make”. The phrasing from the programme: 99% of companies are not suited by template bots, they need bespoke scenarios. The course teaches connecting models to business processes: routers, filters, working with spreadsheets and messengers.
The N8N plan — the course “Automations in n8n”. The comparison from the same place, explaining the difference better than any table: Make is renting a flat, n8n is building your own house. Plus RAG agents, working with your own knowledge bases and self-hosting with no subscription limits.
Each of these plans includes everything from Creator and the course of its own platform, but does not open the other platform's course. If both are needed, the Full plan.
Ready scenarios for both platforms
The automation templates section: over 3 000 of them — 3 366 n8n workflows and 185 Make scenarios. Broken down by category: mailings, CRM, scraping, document handling, AI agents, service integrations. Download, import, insert your keys.
The descriptions are open to everyone. Ordinary templates come with Creator, Make, N8N and Full, advanced ones with Full, or $9 one-off, or 1000 XP.
The express course “AI Agents: the electrification of routine”, $9 one-off or the Creator, Make, N8N and Full plans — four platforms at once: Make for non-coders, n8n for full control, Relevance and Lindy for ready scenarios. Useful if the choice has not been made.
What is in the catalogue
Choosing a platform is also choosing a library.
Make: 185 scenarios, for example Auto-generating WordPress posts from a spreadsheet, Daily Instagram statistics to Google Sheets and the advanced Manager call analysis in Telegram.
n8n: 3 366 workflows, among them RAG agents (RAG pipeline for Google Drive documents, RAG chatbot for Bitrix24), lead generation from social media (Lead capture and enrichment from social media) and the advanced Sales team monitoring via chats and calls.
Undecided — the "AI Agents" express course for $9 gives four platforms at once: Make, n8n, Relevance and Lindy.
What to read next
n8n and Make automation templates — a full analysis of both platforms.
Three automations people buy — what is worth building at all.
What AI agents are, in plain words — when rules are not enough.
Build it once, it runs always — the alternative if the task is about production.