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🔒 Q&A w/ Nate is happening in 47 hours
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AI Mastermind Feb 2-7 | Apply NOW
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/
AI Mastermind Feb 2-7 | Apply NOW
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🏆 Weekly Wins Recap | Jan 9 – Jan 16
From multi-thousand-dollar deals to first real client automations, this week inside AIS+ was all about execution turning into confidence - and confidence turning into momentum. 🚀 Here are this week’s highlights inside AIS+ 👇 👉 @Nick Grijalva completed Phase 1 of an $8K client project, replacing hours of manual work with a clean file-sync automation. 👉 @David Kim closed a $11,795 setup + $7,732/month retainer, sharing powerful lessons on value-driven client calls. 👉 @Gerard Vazquez landed his first €1,500 end-to-end project after consistent outreach and free consults. 👉 @Kishan Shukla secured a contract role as an n8n AI Automation Engineer, turning skills into steady income. 👉 @Krishna A built an AI micro-SaaS for UGC ads, cutting ad creation time and cost dramatically. 🎥 Super Win Spotlight: @Jon Roth | First Client → Real Savings → Real Confidence Jon built his first professional automation for a niche 3D-printed auto-parts business. The workflow now saves the company ~$18,700 per year by replacing manual Shopify order processing and earned Jon $2,000 from his very first client. More importantly, the build gave him the confidence to pursue automation seriously, with multiple follow-up contracts already in motion. 🎥 Watch Jon share his journey 👇 Jon’s story is a reminder that one real build can change everything - confidence, direction, and belief in what’s possible. ✨ Want to start stacking wins like this? Join AI Automation Society Plus and turn learning into real builds, real clients, and real momentum 🚀
🏆 Weekly Wins Recap | Jan 9 – Jan 16
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🚀New Video: Build ANYTHING with Claude Code & n8n (Beginner's Guide)
In this video, I show you how to use Claude Code with n8n to build pretty much anything, from automations to full web apps. I walk through how to connect Claude Code to the n8n MCP server so it understands all the nodes, configurations, and how workflows actually work, and how to give it n8n skills so it can build and modify workflows effectively. Then I show you how to take existing n8n workflows, analyze and optimize them, and turn them into real front-end apps. We go through building the app, pushing it to GitHub, and deploying it on Vercel so you can see the full end-to-end pipeline. This setup makes it way easier than most people think to go from workflow to real product.
Clinical Lab Reporting and Imaging Analysis
Scaling AI to Medical Imaging The $10,000 question: Can AI handle more than just text? Most people think AI automation is just for summarizing emails. We’re taking it into the radiology lab. I’m currently enhancing our SaaS workflow to move beyond standard lab reports. We’ve just added automated imaging analysis for: 🩻 X-Rays 🧠 CT Scans 🫀 2D Echoes Why most "Medical AI" fails: If you send a complex imaging report to a general LLM, you get generic results. It misses the nuance of a specific modality. The solution: The Modality-Specific Nano-Agent. In our latest solution, we built a Smart Router. The system identifies the report type and sends it to a "Specialist Agent" trained specifically for that modality. X-Ray Processor: Focuses on bone density and fractures. CT Scan Processor: Trained for high-resolution cross-sectional data. Emergency Trigger: If the AI detects critical values (like specific creatinine or eGFR thresholds), it bypasses the queue and sends an immediate WhatsApp/Telegram alert to the doctor and patient. The Tech Stack Backend: n8n (hosting the multi-agent logic). Storage: Secure Google Drive integration for medical files. Front-end: Currently building a custom user dashboard in Vercel to give labs a seamless experience. We aren't just automating documents; we’re building a clinical safety net. 🚀 I'm looking for 2 more clinical labs to beta-test this imaging module.
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AI Automation Society
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A community built to master no-code AI automations. Join to learn, discuss, and build the systems that will shape the future of work.
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