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🔒 Q&A w/ Nate is happening in 3 days
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🚀New Video: DON'T Build Another AI Agent Until You Watch This
In this video, I break down the AI systems pyramid and explain how I decide what type of system to build for a given problem. We walk through all four layers, starting with custom GPTs, then simple workflow automations with no AI, followed by AI workflows, and finally full AI agents. As you move up the pyramid, complexity, cost, and the chance of things going wrong all increase, and I explain exactly why that matters in real projects. I also show real examples of each layer so you can see how these systems actually work in practice. By the end of the video, you should be able to confidently decide which type of AI system you need to build and avoid overengineering solutions that do not need it. Access the Decision Tree HERE
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🚀New Video: I built another AI Agent in 2 hours (and got paid $2600)
In this video, I show the exact AI Agent I built in 2 hours, what the AI agent does, and why a client paid $2,600 for it. I break down the idea, how I put it together, and what actually made the AI Agent worth paying for. This video is another super valuable one. Hope you all enjoy!
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🏆 Weekly Wins Recap | Dec 6 – Dec 12
From five-figure months to first clients and real-world AI builds - this week inside AIS+ showed what happens when people stop waiting and start executing. Here are this week’s highlights inside AIS+ 👇 👉 @Sef El is collecting $25K this month from client invoices - built solo, step by step, through consistency and patience. 👉 Jan Goergen-Makinson launched his first voice agent, “Kora,” handling appointments using Retell - a big leap into real client-facing AI. 👉 Prakhar Dubey built his first client workflow for a UK-based NGO supporting SEND children - turning learning into meaningful impact. 👉 @Eduard Friesen broke into the All-Time Top 10 leaderboard and landed his first paid client - momentum stacking fast. 👉 @Abel Alvarado shipped an AI Social Media Intern - from research to auto-image generation and multi-platform posting, all automated. 🎥 Super Win Spotlight of the Week: Nick Mohler | Partnerships Through Community Nick didn’t join AIS+ just for tools - he showed up, participated, and shared openly. That single decision led to meeting a business partner, multiple collaborations, and new client opportunities - all through community connection. 🎥 Watch his quick story 👇 Nick’s journey is proof that when you put yourself out there, the right connections find you. ✨ Want to see more wins like these every week? Join the builders inside AI Automation Society Plus - where consistency, community, and action turn learning into real results 🚀
🏆 Weekly Wins Recap | Dec 6 – Dec 12
Automated Marketing Data Into CRM 🔥
You know that feeling when you spend hours each day manually pulling ad data from Google and Meta, then typing it into your CRM like some kind of digital caveman? Yeah, my client was doing exactly that. Every. Single. Day. So I built them an automation that does it all while they sleep. Here's What This Thing Does: The Morning Trigger Every day at 8 AM, this workflow wakes up automatically. No buttons to press, no remembering to run reports. It just goes. Grabbing the Google Ads Numbers First stop: Google Ads API. It pulls yesterday's campaign data - clicks, impressions, cost, conversions, the whole nine yards. If something goes wrong, it doesn't crash. It just keeps moving. Snatching Meta Ads Performance At the same time (because why wait?), it hits Facebook's Graph API and grabs all the Meta campaign data. Spend, leads, reach, frequency - everything from yesterday gets pulled in. The Smart Processing Part Here's where it gets interesting. Two separate code blocks take all that messy API data and transform it into something actually useful: - Calculates CPC, CPA, and ROAS on the fly - Extracts lead conversions from Meta's confusing action types - Converts Google's weird "micro" currency format into normal numbers - Standardizes everything so it all matches up perfectly Merging It All Together Both data streams meet up in one place. Google campaigns and Meta campaigns, all in one clean dataset, ready to go. Pushing to Their CRM Final stop: Zoho CRM. Every single campaign performance gets sent over as a clean record with the date, campaign name, and all the metrics that actually matter for decision making. The Confirmation Little completion log at the end so we know it all went through. Why This Matters: My client used to spend 2-3 hours every morning doing this manually. Now? It's done before they even open their laptop. They can see yesterday's performance across both platforms in one place, formatted consistently, ready for analysis. No more copy-pasting. No more formula errors. No more "wait, did I already log this campaign?"
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Google Workspace Studio vs. n8n: Is This the Beginning of the End, or a Wake-Up Call?
🤖 Google Workspace Studio vs. n8n: Is This the Beginning of the End, or a Wake-Up Call? After diving deep into Google's newly released Workspace Studio (studio.workspace.google.com), I wanted to share my honest assessment as someone deeply embedded in the n8n automation community. Spoiler: It's complicated. What Google Just Built Google Workspace Studio represents a significant shift in automation philosophy. Powered by Gemini 3, it enables users to create "AI agents" using plain language: "Every Friday, ping me to update my tracker""Monitor my inbox for unhappy customers, draft a reply based on our refund policy, and log the issue in Sheets." No nodes. No triggers configured. No webhook setup. Just describe the outcome you want, and the AI figures out the "how." This is agentic automation — a fundamentally different paradigm from the deterministic, trigger-action workflows we build in n8n. Where Google Workspace Studio Shines Let's be honest about what Google got right: 🔹 Zero friction entry point — Already included in Business and Enterprise Workspace plans (no additional cost) 🔹 Native context awareness — It lives inside your Gmail, Docs, and Sheets, eliminating API authentication headaches 🔹 AI-first reasoning — Handles sentiment analysis, intelligent prioritization, and smart approvals without complex logic trees 🔹 Deep ecosystem integration — Salesforce, Asana, Jira, and Mailchimp connectors already available 🔹 Democratization — A marketing manager can now build automations in 5 minutes without touching a single node For organizations already living in Google Workspace, this is genuinely disruptive. The economic argument is compelling: why pay for external automation tooling when your existing subscription handles 80% of use cases? Where n8n Remains Irreplaceable Here's where I push back and I'm biased, I'll admit it. But my bias comes from real-world production experience: 🔸 Self-hosting & data sovereignty — In regulated industries (food safety compliance, anyone?), keeping data on your own infrastructure isn't optional. Google can't match this.
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