Build Your First AI Agent in 1 Hour with n8n

Video Description

📚 Learn to build production-grade AI agents: https://www.skool.com/real-world-n8n-builders 💻 Check out my agency website https://neuronnix.com/ 📆 Want to book a free 30-minute AI consultation (clients only) https://cal.com/neuronnix/30min ---------------- Tools I use (my referral links) N8N (automation): https://n8n.partnerlinks.io/2b4j2deduiyu Instantly (email outreach): https://refer.instantly.ai/0bwzju424asw Apollo (getting leads data): https://get.apollo.io/qoglkb1hj326 GHL (CRM + websites): https://www.gohighlevel.com/?fp_ref=serop-ai Hostinger (hosting n8n): https://hostinger.com/serop 1Password (secure client credentials handover): https://1password.partnerlinks.io/boctmtxpoj2z Whisperflow (text-to-speach): https://wisprflow.ai/r?SEROP1 Clickup (project management): https://try.web.clickup.com/tkjmhec3tqxl _____________________________________ You’ll see how to: Build automations using simple nodes instead of code Trigger workflows from schedules, chatbots, forms, webhooks, and apps Design AI agents that think, plan, and call tools Process and clean data with filters, aggregations, and merges Connect to real databases (Supabase, Airtable, BigQuery, vector DBs) Secure everything with proper API authentication (API keys, Bearer tokens, OAuth2) Whether you’re a marketer, freelancer, founder, or non-technical builder, this is your practical starting point to leverage automation and AI instead of being replaced by it. ⏱️ Timestamps / Chapters 00:00 – Why automation & AI agents are the next big shift 00:40 – Why automation skills future-proof your career 01:11 – What you’ll learn in this crash course 01:32 – How no-code AI tools change everything (overview) 02:18 – What AI agents actually are (and how they work) 03:31 – Inside the automation dashboard & workflows 04:54 – Different ways to trigger automations (overview) 04:54 – Schedule triggers: run workflows on autopilot 05:52 – Chat triggers: building AI chatbots as workflows 06:29 – Manual & click triggers: testing and debugging flows 07:18 – Form triggers: building simple apps & lead capture 09:01 – Calling workflows from other workflows (modular design) 11:01 – App-specific triggers (Gmail, CRMs, databases, etc.) 13:01 – Webhooks as your backend: using workflows as APIs 14:38 – Data processing nodes (data transformation basics) 15:22 – Why data processing matters before AI 16:20 – Filter node: keep only what you need 18:06 – Remove duplicates & limit: cleaning your data 20:04 – Aggregate & Split Out: going between lists and rows 21:20 – Using Set node to transform data row by row 23:05 – Handling API responses that return arrays 25:19 – Merge node: combining parallel branches (discounts, emails, etc.) 25:59 – Sending personalized emails from merged data 26:20 – Logic nodes: controlling the flow of information 26:44 – If node vs Filter: true/false branches explained 28:16 – Switch node: multiple conditions, cleaner automations 29:55 – Loops & batching: processing items safely 30:36 – Rate limiting with Wait node (avoid API bans) 31:38 – Stop with error: when you want the workflow to fail 33:17 – Executing sub-workflows & modularizing logic 34:50 – Calling workflows from AI agents as tools 35:39 – AI & LLM nodes overview 36:00 – Basic LLM chain: system prompts & custom behavior 37:19 – Prebuilt AI chains: classify, extract, analyze sentiment 38:58 – Structuring data from long texts with extraction 39:19 – Sentiment analysis for reviews, comments, and feedback 40:00 – Calling providers directly (OpenAI, Gemini, etc.) 40:25 – LLM tools vs AI Agents: what’s the difference? 42:30 – When to use simple LLM calls vs full AI agents 43:44 – Private/self-hosted models with Llama 44:55 – Databases & automation 45:16 – Why databases make your automations powerful 45:50 – Supabase, Airtable, BigQuery: when to use what 46:34 – Built-in data tables for quick prototyping 47:09 – Using Airtable as a visual backend for clients 47:31 – BigQuery & huge datasets: performance considerations 48:09 – Vector databases (knowledge bases for your AI agents) 48:55 – Recommended stack for most real-world projects 49:40 – Authentication & security 50:01 – What authentication actually is (in human terms) 50:44 – API keys in headers (x-api-key style) 52:15 – Keeping your API keys safe & rotated 54:14 – Bearer tokens: how they differ from basic headers 55:13 – Creating and managing keys in dashboards 56:20 – OAuth2: short-lived tokens & secure access 57:31 – Reading API docs & using curl examples 58:49 – Importing curl into your workflow tool 59:06 – Final thoughts & what to explore next 🔖 Hashtags #n8n #Automation #AIAgents #NoCode #LowCode #WorkflowAutomation #APIAutomation #Productivity #Supabase #Airtable #LLM #AIWorkflow #DataEngineering #TechSkills