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🔒 Q&A w/ Nate is happening in 3 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.
How would you build an internal AI agent that knows an entire company's knowledge base?
I'm the AI consultant for an Australian mortgage brokerage (Sydney, small team). I want an internal assistant every employee can ask about how the company works — our processes/SOPs, which lenders suit which client scenarios, fees, compliance rules, who does what. Where I've got to so far: - Anchor use case: internal SOP/process assistant. Not client-facing. - Access: private login-gated web chat portal — staff sign in with their company email, public can't get in. - Guardrail: it must cite its source and say "I don't have that documented — ask X" rather than guess. We're regulated; a confident wrong answer about lender policy is worse than no answer. - The discovery that changed everything: I audited our Google Drive expecting SOPs. There were almost none — it's all marketing material. The real process knowledge is in the director's head. The bottleneck is content, not tech. - My plan: one curated company knowledge-base doc as the agent's brain (small enough to fit in the model's context, so no vector DB), an admin screen to edit it, and logging every question the agent can't answer — that log becomes the prioritised list of what to document next, so it bootstraps itself. What I'd love input on: 1. Is "whole KB in the system prompt, skip RAG" sane for a small company KB? At what size does that break and force vector search? 2. How did you get knowledge out of people's heads? This is my real blocker. Interviews? Recording client calls and mining them? What actually worked? 3. Anyone shipped this with no-code (Custom GPT / Claude Project / n8n) vs. a custom app? Where's the line where custom becomes worth it? 4. For a small team, is a login-gated custom app overkill vs. just sharing a Claude Project with team seats? 5. War stories: what killed adoption of an internal agent? What made staff actually trust it? Stack: Next.js + Supabase + Vercel, Claude API. Happy to share back what I learn.
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