✨ Warm greetings and my best wishes at the close of this year. May you enjoy peace, gratitude, and renewal with your loved ones. 🤖 The year ahead invites us to grow in AI and automation — learning continuously, acting ethically, and turning challenges into progress. 🛠️ With discipline, collaboration, and clear purpose, we can transform opportunities into real achievements. 💡 May this new year bring health, success, and hope. Let us move forward with confidence and determination.

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

What do you THINK matters most when picking an AI niche?

Gemini 3 Pro is here, and the benchmarks are seriously impressive. In this video, I break down what makes Google’s new chat model stand out, where it performs best, and where it still falls short. I also run real tests inside n8n so you can see exactly how it behaves in automations and AI agent workflows. If you want to learn how to connect Gemini 3 Pro to n8n, when to use it, and how it can upgrade the systems you build, this video will walk you through everything step by step.

I’ve been getting this question a lot lately. With AI automations becoming easier to build with AI, and OpenAI releasing AgentKit, people are wondering if n8n is even worth learning anymore. But here’s the truth: if I had to start all over again knowing nothing, I’d still learn everything I could about n8n. Because when you learn n8n, you’re not just learning one tool, you’re learning how systems think. You start to see how triggers connect, how data flows, and how logic turns into results. And once you understand that, you can jump to any platform in the world and master it instantly. You become tool-agnostic, and that’s where the real freedom lies. When you learn how to build workflows yourself, you also learn lessons that can’t be taught through flashy AI demos. You start to see what automations can really do, how reliable AI actually is, and what’s possible when you combine logic with creativity. You learn how to build systems that save time, cut costs, and actually work in the real world, not just on paper. That skill separates you from everyone else trying to sell the same thing. Because when clients hire you, they’re not hiring you to drag nodes on a screen, they’re hiring you to think like an automator. They want someone who understands the logic behind the system, can identify what’s going wrong, and knows how to make it better. The people who skip this step, the ones relying entirely on “AI agents that build workflows for you”, are like someone trying to sell a cake after only seeing a picture of it. They don’t know the ingredients, how it was baked, or even the flavor. So when they try to explain it to others, they sound the same as everyone else. But when you’ve actually baked the cake yourself, you can describe the flavor, the texture, the process, and that builds trust. And in this space, trust is everything. Automation is one of the few skills in the world that directly compounds over time. Once you know how to identify bottlenecks, map processes, and connect systems, you can apply that skill to any business or industry. And the ROI is real, recent studies by Deloitte and McKinsey show companies that invest in automation see up to a 30% reduction in operating costs and often double or triple their productivity within months. The people who understand how to build and maintain these systems are the ones leading that transformation.