N8N Foundational Concepts (AI Agents, JSON, Logic)

Beschreibung:

Join Maker School, start your AI automation agency, & get customer #1 Watch me build my $300K/mo business live with daily videos + strategy ⤵️ All N8N templates mentioned in the clip ⤵️ Summary ⤵️ Welcome to my N8N course, "N8N For Everyone". In today's video, we're going to dive deep into the fundamental N8N concepts you need to understand to build robust flows and minimize the amount of time you spend debugging. We'll cover expressions, JSON, variables, types, how to map fields, how N8N represents data, foundational nodes (like "if", "filter", "merge", etc), and we'll briefly touch on AI agents too. What to watch next 🍿 1. Exactly how I'd create another $39K/mo: 2. My $21,000/m Make.com proposal system: 3. Multi-cycle ChatGPT content generator: My software, tools, & deals (some give me kickbacks—thank you!) 🧑🏽💻 n8n: 🚀 Instantly: 📧 Anymailfinder: 👻 PhantomBuster: ✅ Make: 📈 Rize: (use promo code NICK for addn 25% off) Other places I exist 😈 🤫 Daily updates: @nicksaraevdaily 📸 Instagram: 🕊️ Twitter/X: 🤙 Blog: Why watch? If this is your first view—hi, I’m Nick! TLDR: I spent six years building automated businesses with Make.com (most notably 1SecondCopy, a content company that hit 7 figures). Today a lot of people talk about automation, but I’ve noticed that very few have practical, real world success making money with it. So this channel is me chiming in and showing you what *real* systems that make *real* revenue look like. Hopefully I can help you improve your business, and in doing so, the rest of your life 🙏 Like, subscribe, and leave me a comment if you have a specific request! Thanks. Chapters 00:00:00 Introduction to N8N Nodes 00:01:31 Workflow Creation with AI 00:02:46 Understanding Fields in N8N 00:09:35 Exploring Fixed and Expression Fields 00:12:26 Dynamic Data in N8N 00:23:23 Sending Data to AI 00:34:16 Introduction to JSON 00:35:16 Deep Dive into JavaScript Object Notation 00:56:04 Foundational Nodes Overview 00:59:52 Extracting Website Text 01:03:27 HTTP Request Module Overview 01:03:55 Introduction to Webhooks 01:06:07 Receiving Data with Webhooks 01:10:11 Transitioning to Production 01:10:59 Introduction to OpenAI Nodes 01:14:01 Implementing AI Agents 01:18:00 Connecting AI to Tools 01:19:19 Modifying Flow with Nodes 01:23:46 Implementing Conditional Logic 01:25:32 Using the Filter Node 01:26:27 Merging Data Streams 01:33:55 Looping Through Data Items 01:39:13 Building a Business Workflow 01:41:22 Analyzing Journalist Inquiries 01:49:05 Structuring AI Prompts 01:56:51 Filtering Relevant Emails 01:59:11 Recap and Conclusion