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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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🏆 Weekly Wins Recap | July 11 – July 17
From first clients and AI OS deals to app launches, time-saving systems, and members finally pressing publish - this week inside AIS+ showed what happens when opportunity meets preparation. AIS Live may have ended. The action didn’t. 🚀 Standout Wins of the Week inside AIS+ 👉 @Charles Cooper III turned one hour a day into 143 automations, 4 working AI voice agents, a full operations system, and his first real client engagement. 👉 @Michael Wacht turned a 25-minute AI talk for 125 business owners into 12 conversations, 5 leads, 2 appointments, and a 50-hour AI OS project. 👉 @Hearty Dave reduced a 120-hour quarterly reporting process to roughly one hour, saving his agency an estimated $18,000 in time every year. 👉 @Ameeth B. shipped his first n8n build: an HR agent that reads policies and prepares grounded Gmail draft replies for human review → First n8n HR agent 👉 @Tanya Maslach used the momentum from AIS Live to publish two polished LinkedIn videos and build a Chief of Staff agent that prepares useful context before meetings. ⸻ 🎥 Super Win Spotlight | @Wyatt Lyonsmith Wyatt joined AIS+, built his first project, landed his first client, and got paid while learning how to use the tools. That first delivery became proof he could show other business owners - leading to introductions, new conversations, and opportunities across different industries. His biggest lesson? You don’t need the whole journey figured out. Build one thing. Help one client. Take the next step.
🏆 Weekly Wins Recap | July 11 – July 17
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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.
I got tired of paying $15/mo to talk to my computer, so I built my own (free + open source)
I use voice dictation every single day. Wispr Flow is great, but $15/month adds up, and I kept thinking: everything it does could run locally on my Mac. So this week I built it. Meet OpenFlow. 🎙️ Hold a key, talk, release, and your words appear wherever your cursor is. Any app. Editors, Slack, the browser, your terminal. The best part: it runs 100% on your Mac. No cloud. No subscription. No account. Your voice never leaves your machine. What's under the hood: 🔹 NVIDIA's Parakeet model transcribes at 35x realtime (it even spells "kubectl" correctly) 🔹 Whisper handles other languages 🔹 Apple Intelligence cleans up your "ums" and false starts, fully on device 🔹 Custom dictionary, searchable history, lives in your menu bar Here's the thing I want you to take away: I built the entire app with Claude Code. Native Swift, two speech engines, an on-device cleanup pipeline, a landing page, and it even generated its own app icon. A year ago this would have been a month of work with a Swift developer. This week it was a weekend. It's free and open source (MIT), so you can download it, read every line, or fork it: 🌐 Website: robj1925.github.io/open-flow 💻 Code: github.com/Robj1925/open-flow I'll be posting a breakdown of how I built it if there's interest. Question for you: if typing was never the bottleneck, what would you build or ship faster? Drop it below. 👇
I got tired of paying $15/mo to talk to my computer, so I built my own (free + open source)
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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