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.

Does anyone mind sharing how much they actually spend on AI each month out of their own pocket? I see all these videos of content creators doing awesome stuff, but none of them ever share how much they actually spend per month. @Nate Herk Would you consider doing a video on this? I feel like there should be way more transparency around this. I'm rocking the $20 plan for both Claude and Codex, with occasional extra usage. I'm out of pocket around $50-60 across both platforms. How does this compare to others?

Just dropped a new course in the classroom and I'm pretty pumped about this one. It's the full step-by-step on building your own AI OS. Same exact setup I use every day to run the YouTube channel, the community, and my team. 8 lessons, all my templates and prompts, plus a free GitHub repo so you can skip the boring setup and just start building. To unlock it in the classroom, you just need to hit level 3 in the community. Honestly pretty easy: - Drop an intro post if you haven't yet - Engage with a few other members in the threads - Help somebody out who's stuck on something That's pretty much it. Get to level 3 and the whole thing opens up. See you in there. - Nate

Hello all.... Hope you are all having a great Friday! I'm working to improve my website as build continues. Can I get 2 quick pointers from everyone - ideally both criticism and what you would add/remove to improve it? 👉 https://nexura-livid.vercel.app UPDATE: Here's a quick GIF recording attached that shows passes on these randomly selected devices - Galaxy S8+ ✅ - iPhone SE ✅ - iPhone 14 Pro Max ✅ - Pixel 8 Pro ✅ You can also see the full desktop still looking OK. Apologies if you device was not tested on as for now focus is on Desktop until around PRE Ship stage where I go deep in Testing mode 👩‍🚀

hey yall I need help getting to level 3. Who wants to help a fellow builder out? @Nate Herk Really like your recent post about selling hours and helping others to upskill. I am going to start with my co-workers. I feel like this would bring a huge shift in workplace productivity. Who else has had similar thoughts? Would love to connect to discuss approaches.