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šŸ”’ Q&A w/ Nate is happening in 3 days
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šŸš€New Video: I Turned Claude Opus 4.8 Into My Entire AI Operating System
In this video I show you how I turned Claude Opus 4.8 into my full AI operating system that runs my businesses, holds all my context, and replaces the constant tab switching between apps. I walk through the Four C's I use to build it (context, connections, capabilities, cadence), the mindset shift of working out of Claude Code by default, how I organize files and skills, and the bike method for safely giving agents more autonomy. By the end you'll know exactly how to set up your own AI OS and the trap to avoid when you start handing it real keys. GITHUB REPO
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If you've ever felt "AI Overwhelm", please read this.
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.
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šŸ† Weekly Wins Recap | May 23 – May 29
From $64K+ in closed deals to first paid projects, first workflows, and first technical builds - this week inside AIS+ showed what happens when builders stop consuming and start moving. Some wins were big money. Some were first steps. Both matter. šŸš€ Standout Wins of the Week inside AIS+ šŸ‘‰ @Jacob West closed two deals in one week — a $22.5K custom software build for a local gym and a $42K AI OS rollout for a mid-market energy business. šŸ‘‰ @Luca Giovinazzo delivered his first full client project live — 11 n8n workflows, CRM, Telegram bot, inventory alerts, booking system, KPI tracking, user guide, and Loom walkthrough. šŸ‘‰ @Fadwa Naboulssi landed her first client three weeks into the community — a candidate sourcing workflow on a $150-per-successful-hire commission. šŸ‘‰ @George Maitland completed his first technical build using Claude Code + n8n MCP — a local content engine with Telegram as the command center. šŸ‘‰ @James O Neill built a free portfolio site for a friend-of-a-friend’s side hustle… and she insisted on paying anyway. First real money landed. āø» šŸŽ„ Super Win Spotlight | @Josh Holladay Josh joined AIS+ because he wanted more than scattered learning. He wanted momentum. Focused content. Better access. And a room full of people actually moving. Since joining, he has: - Closed real client work - Built stronger confidence around pricing and value - Used the portfolio course to get clear on where he was and what needed to happen next - Learned how to turn client conversations into real business opportunities - Found a place to celebrate wins with people who actually understand the journey
šŸ† Weekly Wins Recap | May 23 – May 29
#AISChallenge - Day 7
Built my Executive Assistant for SEO automation! I used this challenge to build something I actually needed: an EA in Claude Code that handles the most repetitive part of my team's workflow — keyword research and semantic clustering. What I built: - Context files with my role, team structure, current priorities, and business goals - A full SEO pipeline skill that chains 4 steps end-to-end: seed words → keyword combinations → Yandex Wordstat volumes → page clusters - Each step is a separate skill I can also run standalone How it works: I type /seo-pipeline [keyword] and the assistant scrapes Yandex + Google SERP, extracts seed keywords, generates combinations, checks search volumes, and outputs a structured cluster map — ready to hand to the SEO team. APIs connected: - SerpAPI — scrapes Yandex + Google SERP results - Firecrawl — extracts content from competitor pages - Yandex API — pulls real search volume data from Wordstat - Google Sheets API — exports results for the team The part that surprised me: Building the skill the first time manually forced me to document every decision. When I asked Claude Code to "turn this into a skill," it already had all the context it needed. The quality of the output was noticeably higher because the EA knows our niche, our market, and our team setup. What's next: Connect MCP servers for real-time data and automate the morning SEO check-in. This thing is genuinely useful on day one. That's the bar I was aiming for. Big thank you to Nate Herk for this course — it gave me a real framework, not just a demo.🌻
How to build in n8n without feeling stuck
Here's what I've noticed after my calls teaching people n8n. The main thing that keeps coming up is, how should I build? Well, let's say you want to build an automation that takes in a receipt, parses the data and posts it to Google Sheets. Instead of looking at it as this massive project, break it down like this: - Where does the data actually come from? Gmail How do I get the data? I can use an HTTP node or Gmail node - What do I want to do with the data? I want to parse the receipt data - Where do I want to save the data? I want to save it in Google Sheets Do you see how easy it is once you've broken it down like this? Because now when you go ahead and build, you know what you need to do every single step along the way. But what about which nodes to use? In 90% of cases I use the same nodes in all my builds: - The main nodes to get data HTTP Node Webhook Node - Process data nodes Code Node Set/Edit Node Loop Node - End nodes to push the data somewhere HTTP Node This is the way to build without getting stuck. Because you cut all the noise and focus on the most basic pillars of n8n. And nodes like AI agents go under process data nodes, which is why it's in the middle.
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