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🔒 Q&A w/ Nate is happening in 17 hours
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🚀New Video: I Tried 100+ Claude Code Skills. These 6 Are The Best.
After 400 hours in Claude Code, I noticed that businesses keep paying for the same six types of skills. In this video, I break down each one, what it does, and why these simple, boring skills are the ones that actually sell. Whether you're brand new to AI automations or already building for clients, these are the skills worth learning first.
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🚀New Video: Build & Sell Claude Code Operating Systems (2+ Hour Course)
This is the full walkthrough of how I build my AI Operating System inside Claude Code, from the frameworks I use to think about it (the Three Ms and the Four Cs) to the actual setup, connections, skills, and routines that run while I sleep. By the end you'll know exactly how to set up your own AIOS, even if you've never opened Claude Code before. The full template, docs, and resources are free in my school community linked below. GITHUB REPO
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🏆 Community Wins Recap | Apr 25 – May 1
From AI roles and first clients to live receptionist systems and enterprise training deals - this week inside AIS+ showed what happens when builders stop watching and start executing. 🚀 Standout Wins of the Week inside AIS+ 👉 @Griffin Maklansky went from being laid off to landing an AI Workflow Builder role in just 1 month. 👉 @Ahmed Bin Faisal landed another $2,000 USD client — an interior design firm — and broke down exactly what led to the close 👉 @Narsis Amin built a working AI restaurant receptionist handling bookings, availability, and CRM logging end-to-end. 👉 @Josh Holladay closed a $4.5K (+$1K) client with half up front today — and dropped his top 10 lessons from the close 👉 @Dion Wang received his first official testimonial, validating real client impact and around 40 hours/month saved. 🎥 Super Win Spotlight | @Duy Nguyen Duy started as an engineer who was curious about AI — but unsure how to turn that curiosity into something real. After joining AIS+, he went from learning passively to building his own AI-operated business, Sharper Automations. Since then, he has: • Built a 24-agent AI business operating system • Landed 2 local paying clients through word-of-mouth • Created a system that improves itself weekly through feedback loops • Started moving toward his goal of leaving his corporate job His biggest shift? From “Can I really do this?” → to building a real business around AI automation.
🏆 Community Wins Recap | Apr 25 – May 1
I built a real estate AI chatbot....but I struggled with
So yesterday I built a real estate AI chatbot that runs the entire pipeline for agents. However, I got stuck on how to track the user across sessions. The frustrating part is that I did not know how to solve this, so I trusted the AI to solve it for me somehow. That did not work at all. But after some back and forth I found a hacky solution. I bet a senior dev would not like it, but it worked, so. But here is what I did later that day: I went to Claude and asked it: "How do people track not-signed-in users across sessions?" And that's when it shared how they go about it: - Anonymous IDs (most common): Generate a random UUID on first visit. - Session cookies: The server sets a cookie on the first request. - Fingerprinting (less reliable, more controversial) - Identity stitching Here's the thing: I had no clue how any of this worked, but I figured I should learn about it. So I went into Antigravity and asked it to build a system for me, so I could test it out and see how it works. And once the build was done, I copied it by hand and tried to understand how it works. And this is the exciting thing about the time we're living in right now. You can come across a problem and use Claude as your teacher to learn something. And if you're savvy enough, you'll be able to understand how it works and build it yourself.
Quick question for AI builders: how are you handling GDPR for European clients?
Hey everyone 👋 Question for those of you building AI chatbots for clients (or your own product): When you deploy a chatbot on a website, are you actually GDPR-compliant — or are you hoping nobody notices? I’m based in Austria, building AI automation solutions for European SMBs, and the #1 question I get asked isn’t “how smart is your bot?” — it’s: “Where is the data going? Who processes it? Do you have an AVV?” Most US-built chatbots fail this conversation immediately because: • No signed Data Processing Agreement (Art. 28 GDPR requirement) • Subprocessors (OpenAI, Pinecone, Vercel) not disclosed • No Datenschutzerklärung (privacy notice) in the local language • EU AI Act transparency requirements ignored (mandatory from August 2026) Curious — how are you handling this for European clients? Or are you avoiding the European market entirely because it feels too complicated? Happy to share what I’ve built (a 10-point GDPR transparency package) if anyone wants to dig in 🙌
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