Every single person following AI right now is overwhelmed. Including me. I make videos about this stuff for a living and I still feel the pressure. New model drops. New framework. New feature update. It feels like every single day. But after hearing a ton of you guys bring up "AI overwhelm" week after week, I realized this: → There's a HUGE difference between knowing the "what" and knowing the "how." Staying aware does not mean testing everything. Most new tools and features only need the "what." You see the title. You understand what it does. You move on. The "how" is reserved for the stuff that solves a problem you actually have right now. So when something new drops, I ask myself one question: Does this solve a specific pain point I'm currently dealing with? If yes, I test it in a real scenario. I test it against something that actually matters to me. If no, I save the link. I mentally file it away. And I keep walking. Because here's the thing. Your north star is probably very different from mine. Part of my job is to experiment, form opinions, and share what I think is useful. So naturally I test a lot of stuff. But if your north star is building a business or getting better at your craft, then every shiny new tool might just be a distraction. The number one mistake I see people make is they try to learn everything. They watch every video. They test every tool. They jump to the next thing before the last thing even had a chance to work. And if I've contributed to your overwhelm with my daily uploads, I apologize. hehe. But a lot of people think that this ties directly into how you measure your day. Productivity is not how many hours you worked. It's how many meaningful outputs you created that actually moved the needle towards your north star. Someone can work 12 hours one day and feel insanely productive, but they were just watching tutorials and playing around with new tools. Meanwhile someone else sits down for 5 hours, ships the one thing that actually matters, and makes more progress.

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.

Hi all, Wanted to quickly introduce myself. I’ve been in sales for the last 7 years and have always wanted to start my own business. Hoping this community can help guide me down the right path. I’m currently getting into AI automation, so all tips are welcome — whether it’s tools, where to start, or lessons you learned the hard way. Happy to share what I pick up along the way too. Cheers,

Most people will spend years learning AI. A small group will spend that same time building with it. One group has a skill. The other has an income. Which group are you in?

At the start of an AI journey as a non-technical biz owner. I have LOVED Nate’s videos & appreciated everyone’s shares. Looking forward to learning more from everyone.