User
Write something
🔒 Q&A w/ Nate is happening in 12 hours
Pinned
🚀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.
Pinned
🏆 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
Pinned
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.
A quick tip if you're trying to scale your operations with AI
Most founders and agency owners are still using AI the slow way: sitting in a browser web chat, manually copy-pasting text, downloading files, and fixing messy formatting line by line. It is a massive bottleneck. The real unlock happens when you move the AI into the terminal using Claude Code and connect it directly to your business tools (like Airtable, your database, or project boards). Instead of treating AI like a chatbot, you treat it like a background engine. You run one command, and it can: 1. Scan a messy folder of 50 raw client feedback files. 2. Cross-reference them with your project backlog. 3. Automatically update your database and draft the follow-up emails. The takeaway: If your team is still spending hours transferring data between apps just to get AI to do its job, you haven't automated your workflow, you've just given yourself a new manual data-entry job. Stop copy-pasting. Let the code handle the plumbing so you can focus on scaling.
1
0
A quick tip if you're trying to scale your operations with AI
Day 1 — I skipped the newsletter and applied WAT to a real product
I'm building a multi-tenant CRM for beauty salons, so instead of the newsletter I used Day 1 to build the no-show recovery module with the WAT structure: workflow in markdown, a deterministic detection tool, and the agent deciding the recovery strategy per client. The interesting part wasn't the build — it was the bug. I accidentally used a different AI chat inside VS Code (not Claude Code) and it wrote the "decision tool" as a hardcoded if/else with 2 branches. Tests were green. Everything looked fine. I asked Claude Code to audit what the other assistant had built. It found that the tool had collapsed Layer 2 (the agent's reasoning) into Layer 3 (deterministic execution) — exactly the separation WAT exists to protect. An if/else with 2 branches can never produce 10 different strategies for 10 different clients. I decided to rewrite it as a validator: the agent decides at runtime and returns structured JSON, and the tool only checks the schema and allowed values. 11/11 tests green. Two takeaways: - Self-healing catches execution errors, not architectural ones. - Green tests don't mean correct architecture. I needed a second agent to audit the first. Wait your comments, ¡thanks in advance! 🫡
Day 1 — I skipped the newsletter and applied WAT to a real product
1-30 of 21,734
AI Automation Society
skool.com/ai-automation-society
Learn to get paid for AI solutions, regardless of your background.
Leaderboard (30-day)
Powered by