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20h •
🚀New Video: Claude Code Skills Just Got Even Better
2 videos in one day?? Had to do it... Claude Code just dropped a major update to how skills work. The new Skill Creator helps you build better skills from scratch, run evals to test how they perform, optimize existing skills for better accuracy, and trigger them more reliably. In this video, I break down everything that changed and then do a full live build of a brand new skill so you can see exactly how it works. Whether you're just getting started with Claude Code or you've already been building skills, this update makes the whole workflow significantly better.
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1d •
🚀New Video: Turn Claude Code Into Your Executive Assistant in 27 Mins
In this video, I walk you through exactly how I built my own AI executive assistant using Claude Code, and how you can do the same. We go through four phases: setting up the project, adding context and rules, building out your first skills and sub-agents, and how to let it grow over time by layering in more skills, memory, and context as your needs evolve. By the end, you'll have a clear blueprint for setting up a personal AI assistant that actually works the way you work, not just a generic chatbot, but something that knows your business, follows your systems, and gets smarter the more you use it.
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7d •
🏆 Weekly Wins Recap | Feb 21 – Feb 27
SaaS builds. $16K contracts. First clients. Outbound systems going live. This week inside AIS+ was all about leverage turning into real results. Here are a few standout wins inside AIS+ 👇 👉 @Michael Elliott landed a $16.8K contract in just 10 hours of work using Claude Code. 👉 @Krishna A closed another $2,000 deal - now $4K+ this year building apps, agents, and SaaS. 👉 @Viktorio Halcu secured his first client on commission, building an AI outbound calling agent. 👉 @Ahmad Abd Alkarim built his first full vibe-coded SaaS with multi-tenant authentication and dashboard systems. 👉 @Mike Thomson launched Outreach Dashboard v2 - full cold email infrastructure stack live and ready to scale. 🎥 Super Win Spotlight: @Mike Thomson | Systems Before Scale Mike didn’t join looking for magic. He joined because he saw people actually building. After testing multiple systems, he rebuilt his entire cold outreach infrastructure using insights shared inside AIS+. Domains. Inboxes. Warmup. Follow-ups. Automation stack ready. Now he’s weeks away from launching outreach at scale. Mike’s journey is proof that you don’t need hype - you need systems, consistency, and the right room. 🎥 Watch Mike's story 👇 ✨ Want to see wins like this every week? Step inside AI Automation Society Plus and start building assets that compound 🚀
37m •
Healthcare Clinic Wasted 66 Minutes Daily on Patient Paperwork - Automated It to 2 Minutes 🔥
Family practice. 4 physicians. 2,400 active patients. Every new patient = 20 minutes of manual data entry. 8-12 new patients daily. Built intake automation. Reduced to 2 minutes verification only. 66 minutes saved per provider per day. THE PATIENT INTAKE BURDEN: Every new patient submits: - Insurance card (front and back photos) - Medical history questionnaire - Current medications list - Consent forms - Emergency contact info Admin staff manually types everything into EHR. 20 minutes per patient. THE 6-NODE WORKFLOW: 1. Patient uploads forms via portal (phone photos accepted) 2. Convert images and PDFs to text 3. Pull patient demographics, insurance details, medical history 4. Verify insurance eligibility via API 5. Pre-populate EHR system 6. Flag missing info for followup Staff verifies accuracy (2 minutes) instead of manual entry (20 minutes). WHAT CLINICS ACTUALLY CARE ABOUT: Not "AI is cool." They care about: Provider time. That's their most expensive resource. 20 minutes of admin work per patient = less patient time. Automation gives providers back 66 minutes daily for actual patient care. THE RESULTS: Before: - Manual intake: 20 minutes per patient - Daily new patients: 8-12 - Admin time wasted: 2.5-4 hours daily - Annual cost: $32,000 After: - Automated intake: 2 minutes verification - Charts ready before appointment - Admin redeployed to patient coordination - Annual savings: $27,000 - ROI: 1.5 months THE HIPAA CONVERSATION: "Isn't this a HIPAA nightmare?" No. Processing via API = no data storage. Encrypted transmission. Sign BAA. Done. HIPAA compliance scared away most competitors. That's the opportunity. THE PRICING: Small practices (1-3 providers): $400/month Medium practices (4-10 providers): $1,200/month Large practices (10+ providers): $3,000/month Setup: $4,000 Payback is immediate when you show them the provider time savings. 📥 Workflow n8n here and 📚 More templates in Github
1m •
What is the Best Step-by-Step Path to Become an AI Automation Expert ?
Hi everyone, I’m a complete beginner in AI automation and I want to learn it properly step by step so I can eventually work as an automation expert. I’ve been watching Nate’s n8n videos, and they seem really valuable, but I’m not sure what the best learning order is. If someone is starting from zero, which videos or lessons should I follow first, and what would be the best path to go from beginner to building real automations? Any guidance on the right learning roadmap inside this community would really help. Thanks in advance!
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