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Lære Getting Started with n8n | Grundlæggende Principper og Opsætning
AI-Automatiseringsarbejdsgange med n8n

bookGetting Started with n8n

Note
Definition

n8n is a low-code automation tool that connects apps and services using nodes, so workflows can be built without being a full-time developer.

If you've never opened n8n, you'll learn how to open a workflow, understand the main parts of the interface, and navigate it with confidence. You'll also see that it's possible to create powerful automations without writing code, especially when using a large language model (LLM) alongside n8n.

How It Works

n8n is low-code, not no-code. Some parts may look technical, but you don't need a full programming background. Workflows are built by connecting nodes, where each node performs one job like getting data, transforming it, sending it, or calling AI.

LLM stands for Large Language Model (ChatGPT, Gemini, Grok, etc.). LLMs can:

  • Generate or clean text and data automatically;
  • Explain errors in plain English;
  • Produce small helper logic that would otherwise require code;

In short, instead of writing code from scratch, you can often ask an LLM to write the thing or explain the thing. To start you will need a minimal set up

Getting Comfortable with Templates

There are thousands of public n8n workflows available. Importing them is normal — even professionals do it. This course provides templates to explore, and studying working ones is faster than starting from zero.

After signing up, you'll see the overview/dashboard. Click Create workflow, and a blank canvas will appear. That canvas is where you'll add, connect, rename, and run your nodes.

Note
Note

A very common beginner mistake is to keep one master workflow and edit it over and over. It's safer to duplicate a workflow before making big changes.

Beginners often run into the same problems when starting with n8n such as expecting it to be drag-and-drop magic without understanding how data actually moves between nodes. Without using the Executions view errors become difficult to find and by editing the only copy of a workflow they often lose a version that once worked. The lack of documentation for what each node does further adds to the confusion when revisiting a project later. Here is quick review of key parts:

Canvas (Editor)
expand arrow

Main build area where nodes appear and connect to define logic and data flow.

Workflow name / Tags
expand arrow

Rename the title to match a client or use case. Use tags to organize projects.

Executions panel
expand arrow

Shows each workflow run, duration, success or failure, and error location. This is your main debugging tool, check it before guessing.

Sticky Notes
expand arrow

Used to document and organize the workflow.

question mark

What best describes the main difference between n8n and traditional programming?

Select the correct answer

Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 1. Kapitel 1

Spørg AI

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Spørg AI

ChatGPT

Spørg om hvad som helst eller prøv et af de foreslåede spørgsmål for at starte vores chat

Suggested prompts:

What are the main parts of the n8n interface I should focus on first?

How do I import and use workflow templates in n8n?

Can you explain how nodes work and how to connect them in a workflow?

Awesome!

Completion rate improved to 4.17

bookGetting Started with n8n

Stryg for at vise menuen

Note
Definition

n8n is a low-code automation tool that connects apps and services using nodes, so workflows can be built without being a full-time developer.

If you've never opened n8n, you'll learn how to open a workflow, understand the main parts of the interface, and navigate it with confidence. You'll also see that it's possible to create powerful automations without writing code, especially when using a large language model (LLM) alongside n8n.

How It Works

n8n is low-code, not no-code. Some parts may look technical, but you don't need a full programming background. Workflows are built by connecting nodes, where each node performs one job like getting data, transforming it, sending it, or calling AI.

LLM stands for Large Language Model (ChatGPT, Gemini, Grok, etc.). LLMs can:

  • Generate or clean text and data automatically;
  • Explain errors in plain English;
  • Produce small helper logic that would otherwise require code;

In short, instead of writing code from scratch, you can often ask an LLM to write the thing or explain the thing. To start you will need a minimal set up

Getting Comfortable with Templates

There are thousands of public n8n workflows available. Importing them is normal — even professionals do it. This course provides templates to explore, and studying working ones is faster than starting from zero.

After signing up, you'll see the overview/dashboard. Click Create workflow, and a blank canvas will appear. That canvas is where you'll add, connect, rename, and run your nodes.

Note
Note

A very common beginner mistake is to keep one master workflow and edit it over and over. It's safer to duplicate a workflow before making big changes.

Beginners often run into the same problems when starting with n8n such as expecting it to be drag-and-drop magic without understanding how data actually moves between nodes. Without using the Executions view errors become difficult to find and by editing the only copy of a workflow they often lose a version that once worked. The lack of documentation for what each node does further adds to the confusion when revisiting a project later. Here is quick review of key parts:

Canvas (Editor)
expand arrow

Main build area where nodes appear and connect to define logic and data flow.

Workflow name / Tags
expand arrow

Rename the title to match a client or use case. Use tags to organize projects.

Executions panel
expand arrow

Shows each workflow run, duration, success or failure, and error location. This is your main debugging tool, check it before guessing.

Sticky Notes
expand arrow

Used to document and organize the workflow.

question mark

What best describes the main difference between n8n and traditional programming?

Select the correct answer

Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 1. Kapitel 1
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