This is the full walkthrough of how I build my AI Operating System inside Claude Code, from the frameworks I use to think about it (the Three Ms and the Four Cs) to the actual setup, connections, skills, and routines that run while I sleep. By the end you'll know exactly how to set up your own AIOS, even if you've never opened Claude Code before. The full template, docs, and resources are free in my school community linked below. GITHUB REPO

You heard that right. A tiny 27-million parameter AI model just beat the giants on complex reasoning tests. To put that in perspective, that’s 4 times smaller than the original GPT-1. A startup in Singapore built a new kind of AI that thinks more like a human brain. It has two parts: a "slow" strategic thinker and a "fast" tactical worker that team up to solve problems. And it's crushing it. It solves Sudoku puzzles that stump GPT-5 and finds its way through giant mazes that other top models can't handle. This isn’t just a cool science project. It proves a smarter design can beat pure size. For us, this is huge. It means the powerful reasoning that used to cost $20 a task could become almost free. This opens the door to automations we could only dream of before. Here are a few ideas for n8n businesses you could build with this kind of cheap, powerful reasoning: - Hyper-Efficient Logistics Solver Offer a service to local delivery businesses that are still planning routes by hand. This AI’s maze-solving ability is perfect for finding the fastest, cheapest routes. Prompt: Write a step-by-step plan for an n8n workflow that helps a local delivery business optimize its routes. The workflow should read new delivery addresses from a Google Sheet, use a reasoning AI to calculate the most efficient multi-stop route, and then send the ordered route to the driver's phone via SMS. - Automated System Auditor Many businesses have complex software setups that fail in hard-to-spot ways. Use a reasoning AI to find the problems automatically. Prompt: Design an n8n workflow that acts as a 'system auditor'. It should retrieve the configuration and logs from a client's software system, use a reasoning AI to check for inconsistencies against a predefined set of rules, and then generate a clear, actionable report for the client in a Google Doc. - Advanced Resource Scheduler Help construction companies, event planners, or consulting firms assign the right people to the right jobs instantly, avoiding costly downtime.

Huge shoutout to the Top 5 Members of AI Automation Society for August! These are the people leading the way, sharing knowledge, and helping spread the AIS culture: 1️⃣ @Titus Blair – Absolutely dominating again this month! 🔥 2️⃣ @Michael Wacht 3️⃣ @Frank van Bokhorst 4️⃣ @Duy Bui 5️⃣ @Nazmul Hasan And an honorable mention to @Tatyana Gray Etkin who came in at number six and just missed the Top 5. Rooting for you to break through next month! Keep contributing, sharing wins, and helping others grow. Our community gets better because of you. Let’s keep building, keep learning, and keep spreading that AIS energy. Cheers, Nate

Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊

#Introduction I'm Rodrigo, a programmer with over 20 years of experience based in Texas, USA. After completing my AI & Machine Learning Masters, I launched an AI Agency focused on AI Agents and Automation, and for the last 6 months specifically focused on n8n for businesses generating $1M+ annually. #Key Insights Ideal Clients: Companies with 10+ employees earning $5-10M yearly. You'll work directly with owners (shorter sales cycles) and find better opportunities to improve processes. Best Acquisition Channel: LinkedIn - easily identify decision-makers, engage with their content, then connect with a friendly (non-sales) message. Share valuable content before suggesting demos. Sales Approach: Offer a Proof of Concept (POC) during meetings to demonstrate practical solutions to specific problems. Product Focus: I excel in just three revenue-generating solutions (marketing, sales, customer service), all Ready-to-Deploy. This allows for faster implementation and unified improvements. Pricing Model: Monthly fees outperform one-time setup fees. They provide continuity, prevent "starting from zero" each month, and eliminate friction around maintenance charges. #Clients to Avoid: - Companies under $1M revenue (require foundational work) - Businesses with undefined processes - Those expecting AI to solve cash flow problems - Clients without existing, functioning processes #Operational Tips: - Automate your internal processes - Keep onboarding and support initially manual to better understand clients - Invest in help desk software (I use the open-source solution from https://frappe.io/helpdesk) - Implement professional workflow monitoring (I use n8ops from https://www.n8ops.com) which gives me unified visibility across all client workflows. This has been transformative for proactive maintenance and quick troubleshooting, dramatically reducing downtime and improving client satisfaction. - Focus on rapid value creation (30% of my new clients come from referrals)