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🔒 Q&A w/ Nate is happening in 39 hours
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Here’s a way to get my AI agency course for $94
We just crossed 200K members, so I’m gonna do something crazy. I’m giving you a “back door” where you can get my One Person AI Agency course, normally reserved for annual members only, for $94. It’s a brain dump of everything I learned building my agency to 7 figures. - How to win the trust of clients when you’re a beginner - Scripts for what to say what to say to clients on sales calls - Tactics for getting clients How do you get it? You sign up for a $94 monthly membership of AI Automation Society Plus. So yes, I’m “bribing” you to sign up for AIS+ by offering you an insane deal. My ulterior motive is that you fall in love with the community and decide to stay. But it’s still a crazy deal. Instead of paying $799 for annual, you pay $94. And the course is yours. But only until Sunday, December 7th. On Monday, everything goes back to normal. It will be reserved for annual only. Grab it now while you can! -> HERE Cheers, Nate
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🚀New Video: Unlock the Full Power of Your n8n Agents (new instance MCP)
In this video, I break down n8n’s new instance-level MCP and show you why it is a big upgrade from running your own MCP Server Trigger inside a workflow. I explain what it is, how it works, and the key differences you need to know so you can get the most out of it. I also walk through how to connect the new MCP to tools like ChatGPT, Claude, and Lovable so your AI agents can take real actions inside your n8n instance. You’ll see practical examples, simple use cases, and a full demo of how to think about using this in your daily life to automate tasks, speed up your workflow, and make your AI tools much more useful. If you want to understand how to unlock the full power of AI agents inside n8n, this video will show you exactly how to get started.
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🏆 Weekly Wins Recap | Nov 29 – Dec 5
From new client wins to digital twins and foundation-level breakthroughs - another week of real progress inside AIS+ Here are this week’s highlights inside AIS+ 👇 👉 Kevin Hardin built a job-sorting automation using Apify + n8n to instantly organize Upwork leads - a solid real-world workflow in action. 👉 @Elijah Williams restructured his entire agency model after completing the One-Person Agency course — turning insights into a roadmap. 👉 @Rakshith Gowda solved a Veo 3.1 API error after hours of debugging - a reminder that persistence pays off. 👉 @Simon Cousineau is now featured weekly on Canadian radio as their official AI expert - turning consistency into credibility. 👉 Malek Kilani built an AI-powered language coach in under an hour, shared the PRD, and inspired others to ship faster. 🎥 Super Win Spotlight of the Week: @Lutfiya Miller | From Toxicologist to AI Consultant Lutfiya went from learning AI workflows to landing two new clients at a scientific conference - proving what happens when confidence meets consistency. AIS+ helped her go from fear and uncertainty to building powerful automations and speaking at multiple events in 2025. 🎥 Watch her story 👇 Lutfiya’s journey is proof that when you replace fear with action, everything starts to click. ✨ Want to see more wins like these every week? Join the builders inside AI Automation Society Plus - where learning turns into confidence and results 🚀
🏆 Weekly Wins Recap | Nov 29 – Dec 5
Nuclear-Powered AI: Why Everyone Here Is Early
Nvidia CEO Jensen Huang just told Joe Rogan that the biggest limit on AI now is electricity, not GPUs – and he expects tech giants to be running their own small nuclear reactors next to data centers within 6–7 years. That means everyone inside AI Society right now is genuinely early. As AI pushes power grids to their limits and companies move to dedicated nuclear just to keep training and inference online, the real leverage will belong to people who already know how to design, deploy, and monetize AI systems in an era of effectively “industrial‑scale” compute.
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How I Use Inversion to Make My Tax Logic Tear Sheets Safer for Everyone
When I build Tax Logic tear sheets, I don’t start by asking, “How do I make this look impressive?” I start with inversion: “How could this tear sheet go wrong for brokers, owners, buyers, and their advisors?” If a tear sheet is going to fail, it will usually fail because:It looks like marketing, not an institutional exhibit.It makes the broker look like they’re giving tax advice.It confuses the buyer’s CPA or attorney instead of helping them.It doesn’t fit cleanly into the offering memorandum structure. So I invert each failure into a design rule for the AI:Format: grayscale, OM‑style appendix, neutral headings, no hype. Role: clearly marked as third‑party, illustrative analysis, not advice or guarantee. Audience: written so a broker, seller, buyer, and their CPA/attorney/lender can all read it and know exactly what it is—and what it isn’t. Placement: numbered as an exhibit with suggested location in the OM and copy‑paste language for the table of contents and broker emails. Then I use AI in several tight passes, not one big prompt:Ask: “List all the ways a tax tear sheet in an OM could create risk or confusion.”Turn that into constraints and disclaimers.Generate the tear sheet as “Exhibit A – Illustrative Tax Incentive Analysis (Third‑Party Report).”Generate a one‑page “Broker/Owner Integration Note” with talking points and due‑diligence instructions.By running inversion first and then letting AI fill in the structure, my Tax Logic tear sheets end up safer, clearer, and easier to adopt—not just for brokers, but for everyone who actually has to live with the document in a real transaction.
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AI Automation Society
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