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🔒 Q&A w/ Nate is happening in 3 days
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🎉 AIS+ Just Won the Skool Games
AI Automation Society Plus just won Q4 Skool Games, closing out 2025 winning all 4 quarters of the year!! This wouldn't be possible without each of you helping us make AI Automation Society a space for everyone. Truly grateful for this amazing community we're building together. Quick heads up: AIS+ pricing will be increasing in 2026. If you've been thinking about joining, now's the time. We'll give everyone a full week's notice before any price changes. Check it out here. Thank you all for the incredible support. You guys are the best! Cheers, Nate
🎉 AIS+ Just Won the Skool Games
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🚀New Video: DON'T Build Another AI Agent Until You Watch This
In this video, I break down the AI systems pyramid and explain how I decide what type of system to build for a given problem. We walk through all four layers, starting with custom GPTs, then simple workflow automations with no AI, followed by AI workflows, and finally full AI agents. As you move up the pyramid, complexity, cost, and the chance of things going wrong all increase, and I explain exactly why that matters in real projects. I also show real examples of each layer so you can see how these systems actually work in practice. By the end of the video, you should be able to confidently decide which type of AI system you need to build and avoid overengineering solutions that do not need it. Access the Decision Tree HERE
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🏆 Weekly Wins Recap | Dec 13 – Dec 19
From $3K upsells to first-ever clients and smart AI systems - this week inside AIS+ was all about turning effort into real outcomes. Here are this week’s highlights inside AIS+ 👇 👉 @Abel Alvarado turned a focused weekend build into a $3,000 upsell from an existing client - fast execution, real payoff. 👉 @Noel Payano closed his first-ever $5K client at just 18 - a huge milestone built on courage and action. 👉 Evan Jones completed his first paid workflow, earning more in one hour than 10+ hours of Ubering - skills paying off. 👉 @Simon Cousineau signed a $50K deal using AI to ghostwrite 10 books - his biggest win yet. 👉 @Michael Wacht celebrated turning 60 by stacking wins - #1 on the leaderboard, launched his AI brand, and fully reinvented his path. 🎥 Super Win Spotlight of the Week: @Prentice Alston | From Stuck at 2 AM to Confident Builder Prentice went from late-night frustration and broken workflows to clarity and confidence - by leaning into community support and consistent practice. Through challenges, live help, and real feedback, his understanding of n8n clicked, and he’s now actively pitching, booking conversations, and moving forward. 🎥 Watch his quick story👇 Prentice’s journey is proof that when you don’t quit and you build with others - everything starts to change. ✨ Want to see more wins like these every week? Join the builders inside AI Automation Society Plus - where momentum, community, and action turn learning into real results 🚀
🏆 Weekly Wins Recap | Dec 13 – Dec 19
Leveraging Open Source Multi-Agent Teams as an Agency
There's a number of repos like this. Now with Claude Code, Codex, Antigravity, cto.new , Cursor, and all these other Agentic IDE's on the market, I imagine the utility of these repos will only go up with time https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main You could create a full blown SaaS (with costs) out of any of these multi-agent builds, especially since it's open source and you only get charged for API + cloud use I've run a few Perplexity reports on these agents, they're remarkably competitive. There's people out there collecting arbitrage on these purely out of market ignorance. Heavy hitters all around A few highlights: (Junior) Real Estate Agent Team - Scrapes for properties, evaluates them based on scoring criteria, and creates a report for you. When I renew my real estate license in April, I'll be coming back to this AI Services Agency Team - 5 agents that would work in any services-based business. CEO (strategy) CTO (architecture mapping) Product manager (strategy + architecture, product market fit) Developer agent (implementation guide) Client success agent (GTM strategist) Built on top of CrewAI, IBM and NVIDIA's architecture of choice. They got over $18M in funding for this, and you could import it for free RAG-as-a-Service - Imagine you could point a laser and that laser just generates a memory lake for LLMs to feed from. That's the promise behind this one. There's over a hundred companies that have this as their core offering, and they EAT with a handful of a clients
Leveraging Open Source Multi-Agent Teams as an Agency
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AI Automation Society
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A community built to master no-code AI automations. Join to learn, discuss, and build the systems that will shape the future of work.
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