Stop Building AI Agents Until You Watch This (n8n Guide 2026) скачать в хорошем качестве

Stop Building AI Agents Until You Watch This (n8n Guide 2026)

Everyone is rushing to build complex AI automation workflows, multi-agent systems, and 47-node pipelines. But after building 100+ agents and workflows for clients, I see the same problem every time: people skip the fundamentals. This is the foundation video. Every essential concept, every node category, every data type you need to understand before you touch advanced workflows. Once you get these, everything else clicks. In this video I cover: What n8n is and why I recommend it over Make and Zapier The 4 things you must understand before touching any nodes Every trigger node you actually need (hint: it's only 4) Data transformation nodes that do the real work Flow control and loop logic AI nodes, agents, tools, vector databases, and RAG Data types that trip up beginners Expressions and dynamic data access 3 real workflows people pay for LINKS Join our free community: https://www.skool.com/ai-topia-5405 Newsletter: https://aitopia.substack.com/ Work with us: https://calendly.com/joon-getaitopia/... RESOURCEs : This PDF guide and all the basic workflow templates shown in this video are free inside our AI Topia community. No fluff. No hype. Just practical AI automation resources from real client work. CONNECT LinkedIn:   / joonhyeok-ahn   TIMESTAMPS: 0:00 Why fundamentals matter more than advanced workflows 1:00 Who I am 1:30 What is n8n 2:15 How to get started (Cloud vs Self-hosting) 2:45 Your first workflow in 3 steps 3:15 4 things to understand before building 3:45 Credentials 4:15 Workflows, Nodes, and Executions explained 5:30 Trigger nodes (the only 4 you need) 7:00 Data transformation nodes 7:45 Routing decisions (If node, Switch node) 8:15 Data shaping (Set fields, Code node, Merge) 9:00 Split Out and Aggregate (looping essentials) 9:45 File handling and report generation 10:15 Flow control (Loop Over Items, Wait) 11:45 AI nodes and chains 12:30 Structured outputs (forcing clean JSON) 13:15 AI Agents (when you actually need them) 14:30 AI tools, models, and Open Router 15:15 Vector memory and RAG 16:15 Error handling in production 17:30 App actions (don't obsess over knowing all of them) 18:15 Data types in n8n 20:15 Expressions and dynamic data access 22:00 Common workflow patterns 23:00 RAG system importance 23:30 3 real workflows people pay for 26:00 Real example: TikTok competitor monitoring agent 27:00 Final advice: start building, stop watching tutorials