How I'd Learn n8n if I had to Start Over in 2026

In this monologue podcast, Nate Herk shares his experiences and advice on learning n8n and AI automations. He emphasizes starting with workflows before diving into AI agents, highlighting the importance of understanding automation fundamentals. He outlines a three-layer approach: workflows, AI-assisted workflows, and AI agents, and discusses the transition curve and the core building blocks like JSON, APIs, webhooks, and logic. Nate stresses the importance of context engineering for LLMs, building automations that matter, thinking like a process engineer, and testing and refining systems. He also advises avoiding tutorial hell, focusing on ROI, and communicating value to clients.