Huge shoutout to the Top 5 Members of AI Automation Society for May! These are the people leading the way, sharing knowledge, and helping spread the AIS culture: 1️⃣ @Muskan Ahlawat – Back to back at #1 with a massive +7,418! 🔥 2️⃣ @Christian Rivadeneira – Top 5 AGAIN 🔥 3️⃣ @Frank van Bokhorst – Top 5 AGAIN 🔥 4️⃣ @Sam Alder – Top 5 AGAIN 🔥 5️⃣ @Shihab Sakif – Called it! Last month you just missed the Top 5, this month you broke through. 👏 And a special mention to @Chris Jadama, who takes 6th and just missed the Top 5. We're rooting for you to break through in June! 👏 Keep contributing, sharing wins, and helping others grow! Our community gets better because of you. Let's keep building, keep learning, and keep spreading that AIS energy. 🚀 Cheers, Nate P.S., @Yash Chauhan is an AIS community manager, so his points don't count towards this ranking.

Huge shoutout to everyone who finished the 7-Day Challenge this month and got certified. Seven days, zero to your own executive assistant in Claude Code. Step by step, from nothing to shipped. These 31 members put in the reps and walked away with a working assistant they built themselves: Robert Marshall, Gabriel Gadsden, Kamesh S., Patrick Campbell, Marianella John, Jerick Paulo, Duarte Colaco, Alessandro Waidmann, Fouad Hassanein, Nikit Raghuwanshi, Siri, Kevin Montes, Kingdavid Agbidi, Ramkesh Kumar, Aamir Mustafa, Joel Crasta, Miroslav Buso, Leoni Milano, Olga, Gautam, Muhammad Haris, Gregory Lashley, June MG, Justin Weschenfelder, Shahroz Ahmed, JoJo, Tone Glomstein, Nikkie Burns, Anurag Sinha, Kirk Shelton, Varun If you haven't started yet, the challenge is completely free and it's right here: https://www.skool.com/ai-automation-society/classroom/dda699b7?md=1be568a1864b4d999d152832656dea48 One lesson, one build, each day. By the end you'll have your own Claude Code assistant up and running. See you in the next cohort. - Nate

Here's my local dental leads automation for Tashkent city. It took me 41 iterations to make this work after hours of troubleshooting and multiple days of commitment. I am glad I pushed through until the end and now I understand more how thing thing works under the hood.

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.