Hey everyone! 👋 I just put together a complete beginner's guide to MCP (Model Context Protocol) - the new system that lets Claude actually connect to your tools and do real work. What's MCP? Think of Claude as having a really smart brain but no hands. MCP gives Claude those hands - letting it read your Gmail, work with GitHub, access Notion, search the web, organize your files, and connect to hundreds of other tools. The best part? Someone builds one MCP server and it works with Claude, Cursor, Cline, Windsurf, and any other AI app that supports MCP. No more reinventing the wheel. What's in the Guide? ✅ Visual explanations (diagrams, flow charts, analogies) ✅ Zero technical jargon - plain English throughout ✅ Step-by-step setup walkthrough (takes ~20 minutes) ✅ Hands-on tests to verify it's working ✅ Security tips for evaluating MCP servers ✅ 5 practical exercises to try immediately ✅ Troubleshooting guide Goal: Get you from "What is MCP?" to having your first server running in under 20 minutes. Pro Tips from the Community 🔥 Don't install 100 MCP servers at once! (h/t [Name if you have one]) Start with 2-3 that you'll actually use. Too many servers: - Bloat your context window - Slow down Claude's response time - Make it harder to figure out what's not working - Create unnecessary complexity Start simple. Add more as you need them. What to Try First? The guide walks you through setting up the filesystem MCP server - it's the easiest to configure and immediately useful: - Organize files - Batch rename - Create project structures - Search and analyze your documents Once that's working, expand to tools you actually use daily (GitHub, Slack, Notion, etc.) Let's Learn Together 🤝 This community thrives on sharing knowledge, so: ✨ Try the guide - Follow along and get one MCP server running 💬 Share your results - What worked? What was confusing? 🆘 Ask questions - No question is too basic. We all started here. 🧠 Share your tips - If you've used MCPs, drop your learnings below!

Back in August 2025, I found Nate's YouTube channel. I was curious about AI automation but had no idea where to start. I joined AI Automation Society and started learning. Two weeks in, I saw Nate post about a hackathon event. Did not have a clue what that meant. The catch: it was only available in the paid community, AI Automation Society Plus. The very first week, a hackathon dropped: build a lead gen system in 2 weeks. 119 builders entered. I had no business competing. One month into my automation journey. Zero tech background. But I went all in. Every night after work. Debugging until 3am. Stuck on nodes for hours. Asking Claude, ChatGPT and pretty much any LLM I could talk to explain code like I was 5. I used multiple because I kept hitting my context window... anyway. My final build scraped Google Maps, enriched leads with Hunter + Apollo, scored them, and pushed qualified ones into cold email campaigns — all automated. 50 leads scraped, enriched, and loaded in under 60 seconds. I won first place. $1,000. This began a crazy journey! But what does any of this matter to you? I have a feeling I was once in the same place as many of you. Are you still watching tutorials... or are you actually building? What's stopping you from going all in? For me, it was fear. I didn't think I was ready. I thought I needed to learn more first. But here's what I realized — you don't learn by watching. You learn by doing. I call it massive imperfect action. The hackathon forced me to build. The paid community gave me the structure to finish and be rewarded for hard work. This is why I took the leap of faith and what AIS+ provided for me: → Structure — actual courses that walk you through building real systems → Accountability — hackathons and challenges that force you to ship → Access — Nate and other advanced builders who answer questions and give feedback → Momentum — being surrounded by people who are actually building, not just watching I'm not saying the free community isn't valuable. It is. I started here.

📚 How to Use This Quick Reference Guide Hey everyone! 👋 Thank you all for the overwhelming response and support as we learn Claude Code together. This quick reference guide is designed to be your go-to companion alongside "So You Wanna Learn Claude Code." 🎯 What This Guide Does: This is your visual cheat sheet—think of it as having all the answers at your fingertips while you practice. No technical jargon, no confusing terminology. Just clear, simple instructions you can follow right away. 🚀 How to Use It: Keep this PDF open on your screen (or printed nearby) while you work with Claude Code. When you're not sure what to say or how to ask Claude to do something, just glance at the guide and find what you need. It's organized by what you want to accomplish, not by complicated technical categories. 💡 Why This Matters: This guide covers everything from your very first day through intermediate and advanced techniques. That's because everything builds on the same foundation. Master these basics now, and you'll have the skills to handle complex projects later. The fundamentals don't change—you just get better at using them. 🌱 Let's Keep Growing: We're all learning together, and your questions and progress help everyone in the community. Keep experimenting, keep asking questions, and don't be afraid to try things—that's how we all improve! 💪 Looking forward to seeing what you create! ✨

We are currently using a platform called CoStar to look up commercial property info. The monthly fee is $600 for one person! So I found a platform that has all the commercial data we need, and built a lookup tool in Loveable. It has a Supabase backend to store the properties, has account handling for secure login, includes buttons to launch Google Maps or Goole Earth. I used a combination of Claude to build my workflow in n8n and lovable. There was some back and forth getting everything working, and getting the data set up so Lovable could use it, but it only took me a few hours after creating the workflow. Version 2 will include the ability to build a quote by selecting the services we offer and a price, then passing it all to a template in PandaDoc. From there it can be sent to a potential client where they can select which services they want, and e-signing the proposal. Really excited for this!

We wrapped up the year strong and kicked off the new one with momentum. From first sales to real-world impact builds, AIS+ members kept shipping 👇 Here are this week’s highlights inside AIS+ 👇 👉 @Jon Roth made his first sale with a workflow built for a 3D print shop - optimizing Shopify order processing end to end. 👉 @Maciej Wesolowski secured a $5,200 client to build a lead-gen AI chatbot for a training firm — consistency paying off again. 👉 @Ai Stromae built a transcription - NotebookLM workflow that saves a client hours of manual effort every week. 👉 @Kevonte Demery launched a live AI program for underserved students - turning automation skills into real social impact. 👉 Satyam Sharma built a mini SaaS in just 3 hours, complete with payments and a live demo - fast execution, real product. 🎥 Super Win Spotlight of the Week: @Christian Barraza | From Do-or-Die to Full-Time Builder Christian joined AIS+ with almost nothing left in his bank account - and went all in. Within days, he restructured his offer, signed his first client, posted the win, and quickly landed a second client - all by applying what he learned and leaning into the community. 🎥 Watch his quick story 👇 Christian’s journey is proof that when you commit fully and take action, momentum can change everything - fast. ✨ Want to see more wins like these every week? Join the builders inside AI Automation Society Plus - where action, community, and consistency turn learning into real results 🚀