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I've been thinking about where AI is heading. Most of us are building AI assistants. They write emails. 🔍 Research topics. 💻 Generate code. 📅 Schedule meetings. They execute tasks well. But I wonder if the next evolution isn't a smarter assistant... It's a Decision Operating System. The DIFFERENCE? An assistant answers:🔷 "What do you want me to do?" A Decision Operating System asks:🔷 "Given everything I know, what's the highest-value action right now?" That requires a very different architecture. Instead of optimizing individual tasks, it continuously orchestrates context across your: 📧 Email 📅 Calendar 📝 Notes 📚 Research 🚀 Projects 🎯 Long-term goals Not as separate tools... But as one coordinated decision layer. At that point, the AI isn't just executing work. It's helping prioritize attention, reduce decision fatigue, and surface what matters most. Maybe the next competitive advantage won't come from building assistants that can do more... Maybe it'll come from designing systems that decide better. Curious how others see it:🔷 WHERE DO YOU THINK AN AI-ASSISTANT ENDS... AND A DECISION OPERATING SYSTEM BEGINS?

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

**❌ I wasted 40 hours on this automation** Built it perfectly. Clean code. Worked great. Nobody wanted it. Why? I didn't validate first. I ASSUMED it was a problem. Turns out: - Only 1 person had it - It took 30 seconds to fix manually - They weren't willing to pay That was a $0 automation. Then I learned: Ask 5 people FIRST. **The questions I ask now:** 1. "How often does this happen?" 2. "What does it cost you?" (time or money) 3. "Would you pay to fix it?" 4. "Who else has this problem?" Get YES on all 4 → I build it Get NO on any → I skip it **Have you ever built something nobody wanted? Share in comments.** Honestly, I think it's the fastest way to learn 😅 and some more examples are there which I am added into the pdf in the post , you can check and build them!! questions: - 1. what your learning to building ?? 2. any addon? 3. how much helpful it can be for you!?

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.