Same Agent, 2 N8N Ways (Pick Your Style) Let’s build a simple agent: “AI Reply Assistant for DMs” → Reads any incoming DM → Categorizes the message → Writes a reply → Saves the convo in a sheet Now here are TWO legit N8N methods to build it — both using nodes, but totally different flows :-WAY 1 — “Simple Chain” Flow This is the clean, minimal version. Great for beginners. Nodes: 1.Trigger Node Gets new DM (Telegram / Insta / WhatsApp etc.) 2. LLM Node Asks the model: what type of message is this? what should I reply? (Output = JSON: {category, reply}) 3.Set Node Extracts just the parts you need from LLM output. 4. Google Sheets / Notion Node Saves: message + category + reply 5. Send Message Node Sends the reply back automatically. Why use this? Fast. Clean. Only 5 nodes. No overthinking. :- WAY 2 — “Split Brain” Flow This one is more powerful. You split tasks across multiple LLM nodes for better accuracy. Nodes: 1.Trigger Node Same start: incoming DM. 2. LLM Node (Classifier) Only job: “What type of message is this?” Output example: “Sales Inquiry” 3.IF Node Branch based on category. 4.LLM Node (Reply Generator) Each branch can have its own tone prompt: Sales reply Support reply Casual chat reply Lead nurturing reply Much more control. 5.Google Sheets / Notion Node Logs data neatly. 6.Send Message Node Replies with the generated text. Why use this? Crazy accurate + customizable + scalable. :-what flow are you building? A) Simple Chain (5 nodes, fast) B) Split Brain (accuracy king) C) Gonna mix both because I’m chaotic D) Still choosing my vibe

Today, I'll be showing you how to get your first AI Automation client without starting an agency. These days, everyone thinks they need to start a full blown AI Agency to succeed, but that's simply not true. So in this video I'll be revealing how to get your first AI automation client without starting an agency, and the exact strategy I'd use myself if I was starting again WITHOUT a YouTube channel. Hope you enjoy!

From $14K consulting deal to $3.8K/month retainers with AI-generated ad campaigns and first-time app launches - members inside AIS+ are turning momentum into mastery 👇 Here are this week’s highlights inside AIS+ 👇 👉 Keith Bucciol : closed a $3,800/month retainer + project fees with a training company - now leading a full AI transformation and system overhaul. 👉 @Michael Wacht hit 10,000 leaderboard points - a milestone built through generosity, contribution, and consistent value. 👉 @Aidan Finnegan created his first fully AI-generated client ad using Sora 2, Veo 3.1, CapCut, and ElevenLabs - a creative workflow in motion. 👉 Balaji Iyer : launched PropValue AI, a real estate valuation tool for the Australian market - built from scratch in just 3 weeks of learning. 👉 @David Thomas launched a complete website via Bolt.new and automated YouTube posting with n8n - combining design, tech, and smart workflow logic. 🎥 Super Win Spotlight of the Week: @Aidan Finnegan | $14,000 Client Contract Aidan just closed a $14K consulting deal, turning months of consistent learning inside AIS+ into real results. From mastering n8n to handling client calls with confidence, he’s proof that progress comes from showing up and building daily. 🎥 Watch his quick story 👇 Aidan’s journey is proof you don’t need years of experience - just the courage to take action. Big wins like this remind us: start small, stay consistent, and let your work speak louder than words 💪 ✨ Want to see more stories like these every week? Join the builders inside AI Automation Society Plus - where consistency turns learning into real results 🚀

Huge congrats to our two winners of the free n8n Cloud Starter Plans ($240 value): 🥇 @Dudley Wise — for the meme about how people use AI with emails (1st image) 🥈 @Simão Rodrigues — for being brutally honest about how people are probably approaching a challenge like this (2nd image) Keep an eye on your DMs, I’ll be reaching out to get you set up with your codes. Have a great weekend, everyone! Cheers, Nate

I’ve been getting this question a lot lately. With AI automations becoming easier to build with AI, and OpenAI releasing AgentKit, people are wondering if n8n is even worth learning anymore. But here’s the truth: if I had to start all over again knowing nothing, I’d still learn everything I could about n8n. Because when you learn n8n, you’re not just learning one tool, you’re learning how systems think. You start to see how triggers connect, how data flows, and how logic turns into results. And once you understand that, you can jump to any platform in the world and master it instantly. You become tool-agnostic, and that’s where the real freedom lies. When you learn how to build workflows yourself, you also learn lessons that can’t be taught through flashy AI demos. You start to see what automations can really do, how reliable AI actually is, and what’s possible when you combine logic with creativity. You learn how to build systems that save time, cut costs, and actually work in the real world, not just on paper. That skill separates you from everyone else trying to sell the same thing. Because when clients hire you, they’re not hiring you to drag nodes on a screen, they’re hiring you to think like an automator. They want someone who understands the logic behind the system, can identify what’s going wrong, and knows how to make it better. The people who skip this step, the ones relying entirely on “AI agents that build workflows for you”, are like someone trying to sell a cake after only seeing a picture of it. They don’t know the ingredients, how it was baked, or even the flavor. So when they try to explain it to others, they sound the same as everyone else. But when you’ve actually baked the cake yourself, you can describe the flavor, the texture, the process, and that builds trust. And in this space, trust is everything. Automation is one of the few skills in the world that directly compounds over time. Once you know how to identify bottlenecks, map processes, and connect systems, you can apply that skill to any business or industry. And the ROI is real, recent studies by Deloitte and McKinsey show companies that invest in automation see up to a 30% reduction in operating costs and often double or triple their productivity within months. The people who understand how to build and maintain these systems are the ones leading that transformation.