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🔒 Q&A w/ Nate is happening in 4 days
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🚀New Video: Claude Code for Non-Coders (6 Hour Course)
This is a complete beginner course on becoming AI native with Claude Code, no coding background required. I take you from your very first prompt all the way to building your own skills, sub-agents, a second brain, and automations that run on their own in the cloud. It's all real examples and step-by-step builds, so you can follow along and walk away with AI systems that actually do work for you. Feel free to skip around using the timestamps below to whatever piques your interest.
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🏆 Community Wins Recap | July 4 – July 10
From AI operating systems and first client deliveries to open-source tools, second brains, and personal AI assistants, this week inside AIS+ showed that the best products often start by solving your own problems first. 🚀 Standout Wins of the Week inside AIS+ 👉 @Miguel Alfonso Murillo closed 3 clients using the AIOS he built for his own business, sharing how his journey evolved from experimenting with ChatGPT to running his operations with AI. 👉 @James Joens delivered his first client project just 11 days into AIS+, saving his client $1,400 on a single deal and following it up with his first in-person cold outreach meeting. 👉 @Jenni Saarenpää built her own AI-powered Wealth Analyzer after realizing the tool she wanted didn't exist, creating a personal FIRE planning app with powerful financial modeling. 👉@Konstantinos Karamatzianis built and open-sourced Session Guardian, solving Claude Code session limits for himself before sharing it with the entire community. 👉 @Girish Mohan created an AI Treasurer to manage expenses for a 100-person family festival, turning a real-life headache into a practical automation. ⸻ 🎥 Super Win Spotlight | @Jacob West Jacob joined AIS+ looking to build a business, not just learn AI. Since then, he has: - Built the confidence to leave his job and go all in on entrepreneurship - Closed larger AI projects by applying real business fundamentals - Shifted from learning tools to building a scalable business around them His biggest takeaway? Skills matter. But confidence comes from building, taking action, and surrounding yourself with people already doing what you want to do. 🎥 Watch Jacob's story 👇 ✨ Every week, members turn personal projects into client work, ideas into systems, and momentum into real businesses.
🏆 Community Wins Recap | July 4 – July 10
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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.
ElevenLabs Internal vs External Knowledge Base?
Has anyone here compared using ElevenLabs built in knowledge base for agents versus an external knowledge base? I recently built a "second brain" chatbot for a family friend and have honestly been impressed with ElevenLabs internal KB. For context, the knowledge base includes a published book, ~400 summarized articles spanning 15 years, and detailed persona instructions. I was genuinely surprised by how well the retrieval performed, especially given the size of the knowledge base. I'm probably going to move to an external knowledge base eventually, mainly so updates can happen automatically instead of me having to manually maintain and upload new knowledge files every time I make a change. For those of you who have tried both approaches: - At what point did you decide to move away from the built in knowledge base? - Did you notice any difference in response quality, latency, or reliability? - Any lessons learned or things you'd do differently?
Freshness That Never Sleeps
A produce department is a difficult computer-vision environment. Fruit overlaps, lighting changes, condensation hides surfaces, and customers move products. A camera may detect color changes or suspicious moisture, but it cannot see the underside of every tomato or feel the firmness of a peach. A practical system combines several signals: - Visible appearance - Temperature history - Humidity - Time on display - Delivery date - Inventory data - Employee inspection But don't go too far! The result is not “discard this food” and instead put the human in final control with intelligence like “inspect this area first.” The article extends the same system into a permanent indoor farmers’ market. Farmers retain ownership until sale, while the store provides infrastructure, payment processing, traceability, and reporting. Where would you place the human-review checkpoint in this workflow? https://creativecooking.blogspot.com/2026/07/close-to-farm.html #AI #ComputerVision #FoodTech
Freshness That Never Sleeps
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