Guides: AI agents and automation in production
Concrete guides, written by a practitioner who runs these systems in production. No hype, just things that work.
What is an AI agent? Definition, examples and production cases
The clear definition, how it works (the five steps), the types of agents and real examples in production.
Read the guide → AI agentsHow to build an AI agent with n8n: from prototype to production
The AI Agent node, tools, memory, checkpoints and guardrails. The method to go from demo to a reliable system.
Read the guide → AI agentsAI agent, chatbot, automation: what are the differences?
The clear comparison of the three, their limits, and how to choose the right tool without overselling the AI agent.
Read the guide → AutomationAutomating repetitive tasks with AI: where to start
Which tasks to automate first, simple automation or AI agent, the step-by-step method and the checkpoints.
Read the guide → AutomationBusiness process automation: a practical guide
The types of automation, how to identify which processes to automate, the role of AI agents and the mistakes to avoid.
Read the guide → n8nn8n vs Make: which one to choose in 2026?
An honest comparison: pricing, hosting, AI agents, code. When to choose one or the other, without hype.
Read the guide → n8nHosting n8n properly: self-hosted, Docker and production
Self-hosted or Cloud, installation, reverse proxy and HTTPS, backups, security and scaling.
Read the guide → n8nBuilding an AI agent with n8n and MCP
Give MCP tools to your agent, expose your n8n workflows via MCP, and the essential guardrails.
Read the guide → AI searchSEO in the age of AI answers: understanding GEO
What changes with AI answers, SEO and GEO, how the engines pick their sources, and the honest levers (no silver bullet).
Read the guide → AI searchHow to get cited by ChatGPT, Perplexity and the AIs
How these engines pick their sources, the actions that increase your chances, and the tempting mistakes to avoid.
Read the guide → AI searchllms.txt and structured data: preparing your site for the AIs
What is established (schema.org) and what is emerging (llms.txt), and how to prepare your site without magic promises.
Read the guide → Case studyAn AI agent in production: the Opposio case study
How a real, public and testable AI agent contests fines end to end: the system, the design choices, and what it proves.
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