I ingested all my YouTube videos into an LLM wiki and turned them into a connected second brain that my AI OS can actually reason over. In this one I show you how to build the same thing in about five minutes using Claude Code and Obsidian, based on Andrej Karpathy's LLM knowledge base idea. You drop in sources, the AI reads them, splits them into cross-linked wiki pages, and keeps the whole thing organized with routing rules so it can find anything fast. By the end you'll know how to set up the vault, write the schema, ingest a PDF and a URL, and decide when to keep your wiki flat versus structured.

One thing I've learned... A skill by itself doesn't make you money. The ability to package that skill into something people want is what makes you money. I've seen people spend months learning new tools, watching tutorials, and collecting certifications. But they never stop to ask: "What problem can I solve for someone?" The people who earn from their skills aren't always the most talented. They're usually the ones who can: ✅ Identify a problem ✅ Create a simple solution ✅ Communicate the value clearly ✅ Put an offer in front of the right people Whether it's AI Automation, copywriting, design, coding, or any other skill, the process is the same. Learn the skill. Build something useful. Turn it into an offer. Get it in front of people who need it. That's where income starts. What's one skill you're currently working on, and have you thought about how you could monetize it?

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 46 members put in the reps and walked away with a working assistant they built themselves: Larry Crane, Al Mulrooney, Hassan Eid, Brandon Claeys, Marc-Antoine Siewe, Neelima Rani, Javier Yranzo, Elmuntasir Mukhier, Cristian Victoria, Alberto Galdames, Harena Juan Rabarijaona, Greg Faysash, Logan Clegg, Paul Forster, Estefania Tidwell, Vuk Simić, Iain Littlejohn, Mark Moran, Julius Waggoner, Michael Wijaya, Ilias Kirbashev, Leviticus Kinchen, Duy Nguyen, Vina Egg, Žiga Kalan, David Richardson, Lesetša Mutchinya, Abrie van Wijk, Firoz Shaikh, Farel Viaho, Alberto Camacho, Tito Burga, Chad, Peter Lukacsi, Sanjana N, Ayhan Bulut, Jerry, Hamza Sajjad, Tim van Kollenburg, Elias B., Ismoiljon Farhodov, Tim Metzner, Java Hardge, Philippe, Papa, Robin Pinchard 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=08b046f630344596b864d1cd4304bda0 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

Fable 5 is back, and it's the strongest model I've used. It's also expensive and won't stay free on your Claude plan for long, so this video breaks down the six habits I'm using to get the most out of it without burning tokens. Everything from giving it the right context, to matching effort levels, to knowing when it quietly hands your task off to Opus.

Huge shoutout to the Top 5 Members of AI Automation Society for June! These are the people leading the way, sharing knowledge, and helping spread the AIS culture: 1️⃣ @Muskan Ahlawat 2️⃣ @Christian Rivadeneira 3️⃣ @Frank van Bokhorst 4️⃣ @Julius Waggoner 5️⃣ @Shihab Sakif And a special mention to @Nigel Vargas, who takes 6th and just missed the Top 5. We're rooting for you to break through in July! 👏 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.