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🔒 Q&A w/ Nate is happening in 44 hours
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🚀New Video: Claude Just Destroyed Every Video Editing Tool
Video editing just changed forever. What used to take motion graphics artists and editors hours of manual work can now be done in minutes with natural language, no code required. In this video, I'm breaking down two methods: Claude Design for spinning up custom motion graphics through conversation, and Claude Code connected with Hyperframes for a more advanced workflow with serious customization, so every output matches your brand's tone and style. I'll walk through real examples, use cases, and exactly how to set everything up. Plus, I'm giving away the free skills and GitHub repo I use in this video so you can skip the setup and start creating right away. GITHUB REPO
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🚀New Video: Claude Design Just Became Unstoppable
Claude just dropped a feature that completely changes how your team builds with AI. It's called Claude Design, and it lets you create a full design guide for your business so Claude actually understands your brand voice, styling, colors, typography, and tone. Once it's set up, everything your team makes (slide decks, prototypes, websites, landing pages, internal docs) comes out feeling like you actually built it. In this video, I break down what Claude Design is and why it matters, how to set it up the right way to get the most out of it, and how to plug it into Claude Code so everything you ship stays on-brand. If you've ever had AI spit out something that felt totally off, this fixes it.
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🏆 Community Wins Recap | Apr 11 – Apr 17
From first AI roles and paying clients to live receptionist systems and enterprise training deals - this week inside AIS+ showed what happens when execution meets consistency. 🚀 Standout Wins of the Week inside AIS+ 👉 @Griffin Maklansky went from being laid off to landing a role as an AI Workflow Builder in just 1 month. 👉 Duy Nguyen moved from fear to action, built a full AI-operated business, and already landed 2 paying clients through word-of-mouth. 👉 @Narsis Amin built a fully working AI restaurant receptionist handling bookings, availability, and CRM logging end-to-end. 👉 Michael Wacht closed a deal to deliver AI training for 200 employees, stepping into enterprise-level impact. 👉 @Dion Wang received his first official testimonial, validating real client results and around 40 hours/month saved. 🎥 Super Win Spotlight | @Debbie DeMarco Bennett Debbie joined AIS+ at a moment when AI was starting to disrupt the business she had built for 13 years. Instead of staying scared, she decided to learn how to work with the technology. Since joining, she has: • Automated multiple parts of her business and freed up major time • Built her own admin dashboard and secure internal systems • Started DeMarco Bennett AI • Landed her first client and began rebuilding their business systems Her biggest shift? From thinking “I’m not technical enough” to realizing that with the right support, iteration, and community, she could absolutely build. Debbie’s journey is proof that you do not need a tech background - you need the willingness to learn, ask questions, and keep building. 🎥 Watch Debbie’s story 👇 ✨ Want to see wins like this every week? Step inside AI Automation Society Plus and start building assets that compound 🚀
🏆 Community Wins Recap | Apr 11 – Apr 17
Client's "2% Error Rate" Was Costing $240,000 Annually - They Had No Idea 🔥
Manufacturing client. 10,000 supplier invoices monthly. "Our error rate is only 2%," they said proudly. I showed them it was costing $240,000 per year. THE "ACCEPTABLE" ERROR RATE: Their manual data entry process: - Invoice received via email - Data entry clerk types into ERP - Manager spot-checks 10% - Error rate measured: 2% They thought 98% accuracy was excellent. THE REAL COST CALCULATION: 10,000 invoices monthly × 2% error rate = 200 errors per month Each error requires: - Detection time: 15 minutes - Investigation time: 30 minutes - Correction time: 20 minutes - Communication time: 15 minutes - Total per error: 80 minutes 200 errors × 80 minutes = 16,000 minutes monthly = 267 hours 267 hours × $75/hour (fully loaded cost) = $20,025 monthly Annual error remediation cost: $240,300 THE ERROR CASCADE: But errors weren't just time. They caused: - Late payment fees ($150 per occurrence) - Vendor relationship damage - Cash flow miscalculations - Duplicate payments - Missed early payment discounts (2% of invoice value) One error example: $47,000 payment sent twice. Took 6 weeks to recover. THE SHOCKING REVELATION: I ran a deeper audit on their "2% error rate": - Errors detected: 2% - Errors NEVER detected: estimated 1-2% additional They were measuring errors they caught. Not errors that slipped through. Medical industry research shows: Manual processes = 6.57% actual error rate even when reported as 2-3%. THE SOLUTION I BUILT: Automated invoice data extraction: - PDF invoices parsed automatically - Key fields extracted via AI - Auto-validation against purchase orders - Flagging system for exceptions - Human review only for flagged items THE RESULTS: Month 1-6 after automation: Before: - 10,000 invoices/month - 2% error rate (200 errors) - 267 hours error remediation - $20,025 monthly cost After: - 10,000 invoices/month - 0.3% error rate (30 errors) - 40 hours error remediation - $3,000 monthly cost Monthly savings: $17,025 Annual savings: $204,300
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