Here's something we keep seeing: People say they want to "learn AI" but then get overwhelmed and give up. The problem isn't that AI is too complicated. The problem is they're approaching it like it's a subject to master rather than a tool to use. Let me explain the difference. "Learning AI" sounds like: Taking courses about how neural networks function Understanding the technical architecture of large language models Studying machine learning algorithms and training processes Becoming an expert in AI capabilities and limitations That's learning about AI. It's interesting if you're a researcher or developer. But it's completely unnecessary if you just want AI to help your business. Using AI effectively looks like: - Identifying a specific problem you have - Trying an AI tool to solve it - Seeing what works and what doesn't - Adjusting your approach - Repeating until you get results Notice the difference? One is theoretical. The other is practical and immediate. Here's the analogy: You don't need to understand how an engine works to drive a car. You don't need to know the chemistry of cooking to follow a recipe. You don't need to grasp the technology behind your smartphone to send a text. Same with AI. You don't need to know how it works to use it effectively. So what skill actually matters? Problem identification. Specifically, the ability to recognize which of your problems might have an AI solution. That's it. That's the skill that separates people getting massive value from AI and people who tried it once and gave up. What this looks like in practice: Let's say you're a coach and you spend 5 hours every week manually scheduling client calls, sending reminders, and rescheduling when conflicts come up. Someone who "learns AI" might research scheduling algorithms and calendar integration APIs and get lost in technical complexity. Someone who uses AI effectively thinks: "This is repetitive and time-consuming. I wonder if AI could help." They search for "AI scheduling assistant," find tools like Reclaim.ai or Motion, test one for a week, see it cuts their scheduling time to 30 minutes, and move on.

Hey everyone! I’m Chris, a long-time creator who lives at the intersection of podcasting, content, and AI. I spend most of my days building systems, frameworks, and workflows for creators and experts who want to get more leverage from their ideas. I’m not new to AI—I’m in it all day. I work across the major platforms (ChatGPT, Claude, Gemini, Perplexity, image and audio tools, etc.) and I’m especially obsessed with stacking them together into repeatable pipelines that turn one conversation into a whole ecosystem of assets. I’m here less to “learn the basics” and more to swap advanced workflows, compare notes, and find people who want to collaborate on experiments and bigger projects. What brought me here is the sense that this community is full of people who are actually doing things with AI, not just talking about it. Fun fact: I’m a serious high school football history nerd and I design sports board games based on real stats. Looking forward to connecting with other builders who want to push what’s possible with AI. 🚀

I've just joined the community and very excited to learn from everyone!

Every time you feel resistance, remember this. Resistance only shows up when something actually matters. It doesn’t show up for the easy stuff. It doesn’t show up for distractions. It shows up when you are on the edge of growth. I have felt resistance before every big move I ever made. Writing my first book. Launching my first course. Making my first hire. Every single time. If you are feeling it today… good. It means you are standing at a doorway. Push through it. On the other side is the version of you you’ve been trying to become. Question for the group:What are you feeling resistance around right now? Drop it below. This is the room where we beat it together.