I wanted to share something pretty special with you guys. From February 2nd to February 7th, there’s an AI Mastermind happening in Cape Town that’s being sponsored by n8n, and I’ll be there along with some of the biggest names in the AI space like Liam Ottley, Dave Ebbelar, Jack Roberts, Mark Kashef, and many more. This is not a typical conference. It’s a small, curated mastermind focused on real conversations, deep dives into AI, live talks and presentations, plus a lot of networking and social events with people who are actually building in this space. There are only about 50 VIP spots left, and it’s designed to be a high-impact, life-changing type of week. If you’re serious about AI, business, and meeting the right people, I definitely recommend checking it out and applying here: https://www.africai.vip/

In this video, I walk through how you can migrate hundreds of n8n workflows from one instance to another without losing track of anything. I show exactly how I moved all of my workflows from n8n Cloud to my self-hosted n8n instance by pulling every workflow into Google Sheets, logging what’s already been migrated, and then importing them into the new instance. This gives you a clean system to avoid duplicates, stay organized, and safely move everything over if you’re setting up a new n8n environment or switching hosting. GOOGLE SHEET TEMPLATE

Something I’ve noticed across a lot of service businesses lately: Most people think their main problem is not getting enough leads. But when you look closer, leads are usually coming in they’re just not turning into real conversations or booked appointments. Common patterns I keep seeing :– Replies going out hours later – Long, over-explained first messages – No clear next step after someone shows interest – Follow-ups that feel awkward or inconsistent feels awkward The biggest shift I’ve seen is when businesses stop trying to “convince” and start focusing on clarity and speed. Short questions > long explanations Fast replies > perfect replies Clear confirmation > casual follow-ups A simple example: Instead of sending a paragraph explaining everything, asking one clear question often moves things forward faster than any pitch. Curious how others here handle follow-ups after someone shows interest do you have a system, or is it mostly manual right now?

We wrapped up the year strong and kicked off the new one with momentum. From first sales to real-world impact builds, AIS+ members kept shipping 👇 Here are this week’s highlights inside AIS+ 👇 👉 @Jon Roth made his first sale with a workflow built for a 3D print shop - optimizing Shopify order processing end to end. 👉 @Maciej Wesolowski secured a $5,200 client to build a lead-gen AI chatbot for a training firm — consistency paying off again. 👉 @Ai Stromae built a transcription - NotebookLM workflow that saves a client hours of manual effort every week. 👉 @Kevonte Demery launched a live AI program for underserved students - turning automation skills into real social impact. 👉 Satyam Sharma built a mini SaaS in just 3 hours, complete with payments and a live demo - fast execution, real product. 🎥 Super Win Spotlight of the Week: @Christian Barraza | From Do-or-Die to Full-Time Builder Christian joined AIS+ with almost nothing left in his bank account - and went all in. Within days, he restructured his offer, signed his first client, posted the win, and quickly landed a second client - all by applying what he learned and leaning into the community. 🎥 Watch his quick story 👇 Christian’s journey is proof that when you commit fully and take action, momentum can change everything - fast. ✨ Want to see more wins like these every week? Join the builders inside AI Automation Society Plus - where action, community, and consistency turn learning into real results 🚀

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