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🔒 Q&A w/ Nate is happening in 7 days
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The skill clients pay $5000+ for (and it’s not automations)
I’ve been watching our 3,700 students in AIS+, and I noticed the people making the most money are all doing this: https://app.aiautomationsociety.ai/10-hours The people charging $5,000, $10,000, even $50,000 per engagement weren't better builders. Before they ever opened n8n/Claude Code, they did one thing differently: → They found the automations worth building first. It’s like a mini audit. Just by asking a few questions and mapping out the opportunities, they were able to get clients excited and also choose the right projects to work on. And the best part is you can practice by running this same system on YOURSELF. I call it 10 Hours to 10 Seconds, because doing this can easily save you or your clients 10 hours a week by automating the right things. Get all the details here: https://app.aiautomationsociety.ai/10-hours Talk soon, Nate PS: If you’re in AIS+, this has already been updated and provided to you at no cost. You can find it in the classroom
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🚀New Video: The Playbook for a $100M AI Agency
I sat down with Devin Kearns, co-founder & CEO of Custom AI Studio, to break down what it actually takes to build an AI agency with real enterprise value, not just another lifestyle business. We get into why most AI work being sold today won't survive 2027, why the mid-market is the prime opportunity (not SMBs or enterprises), the 11 ways AI experts are actually making money right now, how to position with frameworks instead of being just another vendor, and the five things Devin wishes he knew sooner. If you're building, running, or thinking about starting an AI agency, this is the strategic conversation I wish I'd had two years ago.
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🏆 Weekly Wins Recap | May 16 – May 22
From first client wins and live workflows to AI voice agents, portfolio momentum, and production-level fixes - this week inside AIS+ showed what happens when builders keep stacking reps consistently. 🚀 Standout Wins of the Week inside AIS+ 👉 @Michael Garcia closed his first major deal with a wholesale real estate automation engine handling property sourcing, Claude-based deal scoring, and investor pipeline management. 👉 @Luca Giovinazzo delivered his first full client project live — including 11 n8n workflows, CRM systems, Telegram bots, inventory tracking, booking systems, and KPI dashboards for an auto detailing business. 👉 @Paulo Calpatura built a fully automated AI voice receptionist using Vapi, n8n, Claude, Google Maps, Google Calendar, Google Sheets, and ElevenLabs. 👉 Bo Gonzales presented two AI builds internally, stood out in front of 79 employees, and ended up in a 30-minute AI strategy conversation with his CEO. 👉 @Shatadru Majumdar joined just 7 days ago and already completed multiple AIS+ modules while shipping a customer-support workflow using n8n + Claude. 🎥 Super Win Spotlight | @Griffin Maklansky Griffin joined AIS+ after getting laid off and within a month and a half, landed a new AI-focused role. What started it all? Watching Nate’s “Master 95% of Claude Code in 36 Minutes” video and realizing how quickly AI could turn ideas into real products. Since joining, Griffin has: - Built his own personal website to stand out while job hunting - Started learning AI automation seriously despite having no traditional dev background - Used Nate’s templates and systems to level up his Claude workflows - Connected with builders inside the community and started taking real conversations around opportunities - Went from laid off to employed again with a strong salary in under 45 days
🏆 Weekly Wins Recap | May 16 – May 22
I Think a Lot of People Are Quietly Struggling With This.
Loads of people are learning AI right now. Watching tutorials. Trying different tools. Saving loads of ideas. But I think the real struggle for a lot of people is this: Knowing where to actually start. There’s so much information out there that it becomes overwhelming. You end up learning loads, but still not building anything properly. The people getting results with AI aren’t always the most talented. They’re usually just the ones who stop overthinking, start testing things, and stay consistent. If anyone wants help figuring out practical ways to use AI properly, I’m happy to share what’s been helping me. Curious to hear from everyone: What’s been the most confusing or frustrating part of learning AI for you so far?
Hard truth about ai
Everyone is learning AI. Everyone is building with AI. That’s not the advantage anymore. The real advantage is knowingwhat is actually worth building. And that doesn’t come from tutorials It comes from conversations. Talk to business owners Talk to operators. Talk to people already spending money to solve problems. The market will tell you faster than the internet ever will.
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AI Automation Society
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