Getting Started with AI Agents in n8n: A Non-Engineer's Guide

When I first started exploring AI automation several years ago, n8n wasn’t on my radar. Back then, I faced the challenge of orchestrating automation across multiple IoT devices in environments with unreliable internet connectivity. Solid reliability on a budget was essential. Fast forward to now, I've managed to streamline many tasks using n8n, an automation tool that became a core part of my toolkit for non-developers wanting to build AI agents. Why I chose n8n I was initially skeptical. Could an open-source tool really handle the complexities of real-time IoT data processing, especially when robust cloud solutions came with hefty price tags? In Kenya, we often had to deal with spotty internet connections and tight hardware budgets. So, any tool that promised local deployment (such as running on budget Raspberry Pis) and straightforward APIs caught my attention. n8n’s appeal is in its flexibility. I can spin it up on a local server and get everything running without needing a powerful