AI agents that actually ship
How to wire Claude and other LLM agents into your stack with n8n: RAG over your docs, real tool use, and human-in-the-loop approval. Not a chatbot demo; an agent that does the work.
Practical tutorials, importable templates and in-depth guides for building n8n workflows and AI agents that survive contact with real traffic.
Connects everything you already run
What you'll learn
Not demos. Practical guides to the workflows and agents that hold up in production.
How to wire Claude and other LLM agents into your stack with n8n: RAG over your docs, real tool use, and human-in-the-loop approval. Not a chatbot demo; an agent that does the work.
How to run a hardened, queue-mode n8n stack: SSO, read-only containers, SIEM logging.
Programmatic SEO, GSC reporting, and content pipelines that turn n8n into a marketing engine.
Branching, looping, error-handled flows across your CRM, sheets, and Slack.
Error handling, retries and monitoring so a workflow tells you when it breaks.
Importable templates you can adapt, each with a walkthrough of how it works.
How to use this site
Build your first workflow step by step, then move on to AI agents, error handling and self-hosting.
Grab a working template, connect your own tools, and read how each node does its job.
Add retries, alerts and monitoring so your workflows keep running when real traffic hits them.
Why n8n
The short version of the question everyone asks first. The long version is in the blog.
| What matters | n8n | Make | Zapier |
|---|---|---|---|
| Price at 50k tasks/mo | $0 self-hosted / ~$100 cloudbest | ~$100-200 | $250-600+ |
| Self-hosting | Yes (open source)best | No | No |
| Native integrations | 400+ & any API | 1,800+ | 8,000+best |
| Complex workflows | Branch, loop, sub-flowsbest | Strong visual | Mostly linear |
| AI agents / RAG | Native (LangChain)best | Basic | Guided agents |
| Ease for beginners | Moderate | Easy | Easiestbest |
Free templates you can import, and tutorials that show every step.