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🔒 Q&A w/ Nate is happening in 6 days
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🚀New Video: 100 Hours Testing Claude Code vs ChatGPT Codex (honest results)
I spent 100 hours testing Claude Code vs ChatGPT Codex and what I found genuinely surprised me. Same prompts, same builds, both tools side by side, and one of them hit way harder than I expected. If you're picking between coding agents right now, then this video is the breakdown you actually need before you commit.
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The skill clients pay $5000+ for (and it’s not automations)
I’ve been watching our 3,700 students in AIS+, and I noticed the people making the most money are all doing this: https://app.aiautomationsociety.ai/10-hours The people charging $5,000, $10,000, even $50,000 per engagement weren't better builders. Before they ever opened n8n/Claude Code, they did one thing differently: → They found the automations worth building first. It’s like a mini audit. Just by asking a few questions and mapping out the opportunities, they were able to get clients excited and also choose the right projects to work on. And the best part is you can practice by running this same system on YOURSELF. I call it 10 Hours to 10 Seconds, because doing this can easily save you or your clients 10 hours a week by automating the right things. Get all the details here: https://app.aiautomationsociety.ai/10-hours Talk soon, Nate PS: If you’re in AIS+, this has already been updated and provided to you at no cost. You can find it in the classroom
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🏆 Weekly Wins Recap | May 16 – May 22
From first client wins and live workflows to AI voice agents, portfolio momentum, and production-level fixes - this week inside AIS+ showed what happens when builders keep stacking reps consistently. 🚀 Standout Wins of the Week inside AIS+ 👉 @Michael Garcia closed his first major deal with a wholesale real estate automation engine handling property sourcing, Claude-based deal scoring, and investor pipeline management. 👉 @Luca Giovinazzo delivered his first full client project live — including 11 n8n workflows, CRM systems, Telegram bots, inventory tracking, booking systems, and KPI dashboards for an auto detailing business. 👉 @Paulo Calpatura built a fully automated AI voice receptionist using Vapi, n8n, Claude, Google Maps, Google Calendar, Google Sheets, and ElevenLabs. 👉 Bo Gonzales presented two AI builds internally, stood out in front of 79 employees, and ended up in a 30-minute AI strategy conversation with his CEO. 👉 @Shatadru Majumdar joined just 7 days ago and already completed multiple AIS+ modules while shipping a customer-support workflow using n8n + Claude. 🎥 Super Win Spotlight | @Griffin Maklansky Griffin joined AIS+ after getting laid off and within a month and a half, landed a new AI-focused role. What started it all? Watching Nate’s “Master 95% of Claude Code in 36 Minutes” video and realizing how quickly AI could turn ideas into real products. Since joining, Griffin has: - Built his own personal website to stand out while job hunting - Started learning AI automation seriously despite having no traditional dev background - Used Nate’s templates and systems to level up his Claude workflows - Connected with builders inside the community and started taking real conversations around opportunities - Went from laid off to employed again with a strong salary in under 45 days
🏆 Weekly Wins Recap | May 16 – May 22
auto-reference the latest ideas for claude?
has anyone built a skill or hook to automatically reference the latest ai innovators, before doing solving any build plans. i.e. ive seen nate say to claude several times: think of any mcp's or skills that might be useful to use here. however claude is a bit stupid. its training isn't up to date. i need to actively point it to where to look. but obviously its not going to read everything -> assess how everything slots together -> make all these different ideas compete for the best one in that process and even if it did, it would pollute the context like crazy. even using subagents to do alot of that for you would take time. i see two options. and im not in the loop enough to know if people are alraedy doing this or not: 1. make a basic skill that tells it specifically which things or spots to reference - Then create an automation which feeds it - I.E occasionally looking at all the ideas, comparing them and updating a db that feeds the source for the initial skill (could also be used for all domains of knowledge work to great effect) - and more importanly: - - could be built and run by one person, and just accessed by many without any need for everyone to constantly do this "2." create a skill that delegates a bunch of sub-agents to do this every time obviously checking the lates ai innovators methods and successful work/agent brains documentation(if they exist) would just improve your agents abilities to get everything and anything done - assuming you dont stuff everything in context and pollute it
Built an AI System for Real Estate Businesses
Most real estate businesses still manage leads manually through: - WhatsApp - calls - spreadsheets - scattered CRMs Which usually leads to:❌ missed follow-ups❌ cold leads❌ slow responses❌ messy operations So I built an AI-powered system called EstateFlow AI to automate the workflow. What it does: ✅ AI analyzes incoming enquiries automatically ✅ Extracts: - budget - location - urgency - buyer intent ✅ AI-generated follow-up messages ✅ AI chatbot trained on live property data ✅ Voice AI assistant for customer enquiries ✅ Automated lead pipeline tracking ✅ Tenant + maintenance management ✅ Automated reminders for: - follow-ups - rent due - site visits ✅ Real-time analytics dashboard Main focus was combining:AI agents + automation + business workflows into one system. Still improving the automations, but the MVP is already live. Live :https://estateflowapp.vercel.app/ Would love feedback from other AI builders here 👇 Also open to building custom AI workflow systems for businesses/agencies.
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