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Apr 11 •
📚 Looking for a YouTube video resource?
Hey everyone, I built a Google Sheet that has every video I've published in 2026 along with the links to all resources, tools, and files mentioned in each one. If you're ever looking for something I referenced in a video, start here: 📌 YouTube Video Database This will get updated as new videos drop. Bookmark it. - Nate
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7d •
🏆 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. 🚀 Standout Wins of the Week inside AIS+ 👉 @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. 👉 @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. 👉 @Fadwa Naboulssi landed her first client three weeks into the community — a candidate sourcing workflow on a $150-per-successful-hire commission. 👉 @George Maitland completed his first technical build using Claude Code + n8n MCP — a local content engine with Telegram as the command center. 👉 @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. ⸻ 🎥 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
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2d •
What do you get if you upgrade to AIS+?
Some of you have never heard of the AIS+ community. Others have but the part that trips you up is the actual difference between the two. Either way, this post will give you clarity. This free group is a bundle of quick resources pulled from my YouTube videos, plus a massive open community that anyone can join. It's a great place to get your bearings and see what's possible. But it's open to everyone, it can be noisy and overwhelming, and there's no path through it. You can get help from other members, but I rarely answer questions here. AIS+ is the opposite: - A step by step roadmap with a clear order, so you're never guessing what to do next - A much smaller community of people who are seriously committed to building and selling AI agents - I answer questions every day and run a weekly Q&A call where you can get direct access to me For the course material: The roadmap takes you from zero to building and selling AI agents, and the whole thing is built on the latest tech like Claude Code and Codex. We update it constantly. The old n8n material has been archived. It's still there if you want it, but it's no longer the focus, because the way you build today has moved on and the courses moved with it. Here's the actual roadmap inside, in order, with when each piece opens up: 1. Start Here (opens the moment you join). Gets you oriented. How the community works, the path ahead, and how to get help when you need it. 2. Build Your Portfolio (opens the moment you join). Why a portfolio matters, beginner level tutorials, and what types of projects to focus on. You end up with real work you can show a client. 3. Claude Code (opens the moment you join). This is now its own dedicated course. Build faster, turn ideas into working automations, and go deep on the tool serious builders are using right now. This takes you from beginner to advanced, step-by-step. 4. Get Your First Clients (opens after 30 days). Getting your first clients is hard, because you don’t have any case studies yet. So, we analyzed all of the success stories from our members and found they get their initial clients with two different techniques: warm outreach and Upwork. So, we teach both techniques in detail with exactly what to say, exactly how to position yourself when you have no proof.
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9m •
Most people pick their AI model based on a benchmark...
But I pick mine based on feel. That probably sounds backwards because we're trained to trust the numbers. This model scores 90%, that one scores 80%, so the first one must be better... right? Well a story broke this week about SWE-Bench. It's the test that checks whether an AI can fix real problems in real software, like a human programmer would. It's the score a lot of technical people have leaned on for over a year. Turns out the models were cheating. The test projects already had the correct answers sitting inside them. So instead of solving the problem, a model could peek at the solution and hand it back. Like taking an exam with the answer key taped inside the textbook. On the SWE-Bench, GPT-5.5 scored 58.6% and Gemini 3.5 Flash scored 55.1%. Only 3.5 points apart? If you've ever used those two models, you know the math isn't "math-ing" there. Then a new test showed up called DeepSWE. Same idea but they pulled the answers out, so the model has to actually figure it out. On DeepSWE, GPT-5.5 scored 70%. Gemini 3.5 Flash scored 28%. The two "tied" models weren't close at all. And that gap lines up with how different these tools actually feel to use. None of this makes benchmarks useless. They're fun to look at and they give you a rough starting point. But remember who makes most of them. A big score is a marketing asset. It's the number on the launch tweet. The keynote slide. The headline. So always take them with a grain of salt. What I actually do is I bounce between Opus and GPT all day. Not because one won a benchmark, but because I've built a feel for which one handles which kind of task. For serious work right now, those two are the only horses I really trust in this race. Building that feel isn't exciting. You take one task you actually need done, run it through different models/harnesses, and notice which one you trust with the result. Do that enough times and you stop reaching for the leaderboard. → A model that's perfect for someone else can be the wrong pick for you.
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