#n8n
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n8n AI Agent Tutorial: From Rule-Based Automation to an Intelligent Customer Support Bot
Learn how n8n AI Agents upgrade rule-based automation to intelligent reasoning, and build an AI support bot step by step using Webhook, Edit Fields, and OpenAI nodes.
Replacing a $2,500/Month VA with an n8n Workflow: An Automation Experiment
A creator replaced a $2,500/month virtual assistant with a five-node n8n workflow costing about $420 a year. This article breaks down the email auto-reply process, cost comparison, and real limitations, analyzing the practical value of AI automation for independent entrepreneurs.
The Four Core Components of n8n AI Agent: Model, Tools, Memory, and Output Parser
Learn the four core components of n8n AI Agent: Chat Model, Tools, Memory, and Output Parser. Understand which are required and which are optional, and distinguish Chains from Agents to quickly build AI workflows.
Automatically Sync Website Leads to Your CRM with n8n
Learn how to use the open-source automation tool n8n to automatically sync website form leads to your CRM, covering Webhook triggers, CRM writes, multi-source form handling, and duplicate contact deduplication.
n8n Per-Execution Pricing: One Run, Unlimited Steps
n8n bills by execution count: a workflow run counts as one execution no matter how many steps. Learn its billing model, workflow building, debugging tips, and free cloud trial.
n8n Automation: Turn Meeting Notes into Follow-up Drafts in 10 Seconds — an AI Workflow That Never Sends Emails
An eight-step n8n AI workflow turns meeting transcripts into Gmail follow-up drafts with owners, due dates, and evidence quotes in 10 seconds — and architecturally cannot send email. Grounding checks catch misattribution.
Deploying n8n on a Hetzner Server: A Low-Cost Automation Workflow Setup Guide
Learn how to deploy n8n automation workflows cost-effectively on Hetzner Cloud. This guide covers server creation, including choosing the CX23 instance, configuring Ubuntu 22.04, and setting up SSH keys for just $7.09/month—ideal for individual developers self-hosting n8n.
One Sentence to Generate a Workflow: Hands-On with n8n Assistant's Natural Language Workflow Builder
n8n Assistant demo: generate a complete workflow from one natural language sentence—AI plans nodes, places them automatically, and runs tests. We analyze the steps, use cases, and current limitations.
n8n Static Data vs Execution Data: Key Differences and Practical Usage
What's the difference between n8n workflow static data and execution data? This article uses the analogy of a persistent notebook and scratch paper to clarify their lifecycles, scopes, and practical choices, with a comparison table and common pitfalls to help you write automation flows that are reliable across runs.
n8n Schedule Trigger Firing at the Wrong Time? A Self-Hosted Timezone Fix Guide
Self-hosted n8n defaults to America/New_York, so Schedule Trigger fires at the wrong time. Fix it in two steps: per-workflow timezone or a global generic timezone variable.
n8n Open-Source Automation Mining: Mine Before You Automate
n8n Labs launches the open-source Automation Mining Skill: AI Agents first analyze team work data to uncover hidden automation opportunities before building. Recall jumps from 28.2% to 51.7%, free and open-source, supporting Claude Code, Cursor, and other major AI coding tools.
What Is RAG? Retrieval-Augmented Generation Explained Through an n8n Workflow
Using a library analogy to explain RAG (Retrieval Augmented Generation) and demonstrate document loading, embedding, Pinecone storage, and retrieval generation in an n8n workflow.
Stop Turning n8n Workflows into Giant Spaghetti: Five Reasons to Go Modular
Struggling to maintain ever-growing n8n workflows? Based on a YouTube creator's experience, here are five reasons to split n8n automation into modular workflows: reusable, easy to fix, safe upgrades, readable, and AI Agent-ready.
n8n 40-Minute Masterclass: Build Your First AI Automation Workflow from Scratch
Distilled from a 40-minute n8n masterclass: the core differences between automation, AI, and AI Agents, a comparison of n8n's four deployment methods, and a complete guide from dashboard to your first workflow.
Gemini 4 Argon Day-One Hands-On: A Deep Dive into n8n Automation Workflows
Gemini 4 Argon day-one hands-on: building a quote automation workflow and data dashboard on n8n with AI assistants and MCP, evaluating reasoning, security, and UI.
n8n Beginner Tutorial: Build an AI Agent Automation Workflow from Scratch
n8n beginner tutorial: from self-hosted deployment to building AI Agent automation workflows. Covers form triggers, Gmail auto-replies, AI customer service Agent with memory and system prompts, and Webhook-to-Google-Sheets integration across three hands-on cases with full step-by-step instructions.
n8n AI Lead Qualification Workflow: Import, Test, and Debug in Practice
A complete guide to importing and testing an n8n AI lead qualification workflow: validation-first, deterministic scoring, confidence gating, and retry observability, with assertions on five controlled leads and production migration steps.
n8n Workflow Builder: Generate Complete Automation Workflows with a Single Sentence
ArgentiRage Academy launches n8n Workflow Builder, generating complete n8n workflows from natural language descriptions with account connection and field-filling guidance, ready to copy, paste, and use.
Building an AI Smart Home That Understands Natural Language with n8n + MCP + ESP8266
A smart home project using n8n workflows, the MCP protocol, and ESP8266: the Gemini-powered voice Agent "Bob" reads sensor data and voice-controls 6 devices, showing how LLM tool calling works in IoT.
How to Test n8n LLM Workflows Before Production: A Four-Layer Assertion Testing Method
A deterministic testing method for n8n LLM workflows: three preset transcripts, evidence-quote assertions, a fallback matrix, crash testing, and cost rehearsal to verify four mechanical guarantees.