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🔒 Q&A w/ Nate is happening in 27 hours
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🚀New Video: Hermes Agent: Zero to Personal AI Assistant (1 Hour Course)
This is a complete walkthrough of getting Hermes Agent set up from scratch on a VPS. You'll see how to install it on Hostinger, connect it to Telegram, set up your first skill and cron job, and back everything up to GitHub. By the end you'll understand the five pillars of Hermes, when to use it instead of Claude Code, and how to scale to multiple agents without breaking anything.
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Cape Town AI Mastermind: Behind the Scenes
In February, I spent a week in Cape Town, SA with some of the top AI entrepreneurs in the space for a mastermind. We had hundreds of community members join us. I met some amazing people and left feeling so energized and inspired. Which is why I've been uploading almost daily lately, haha! Anyways, just dropped a behind the scenes vlog if you're interested in checking it out. AIS is planning on doing big events and meetups regularly, so if this trip looked like fun, stay tuned for events in the future!
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🏆 Community Wins Recap | May 2 – May 8
Big closes. AI Lead roles. SaaS momentum. Retainers. Equity. Real systems getting shipped. This week inside AIS+ was packed with builders turning reps into real opportunities 👇 🚀 Standout Wins of the Week inside AIS+ 👉 @James Tagalog landed an AI/Automation Lead role and jumped from $87K → $130K while realizing the interviews cared more about real-world thinking than memorized prep. 👉 Riaz Ahamed crossed $60K+ in client work since joining AIS+ as a complete beginner last year — now building GDPR-compliant Claude Code systems for EU clients. 👉 @Michael Elliott closed a $31K website rebuild + AI chatbot + retainer deal and shared the exact communication moves that helped secure the project. 👉 @Chris Atsu closed a €16K AI automation system for a marketing agency after holding firm through negotiation pressure. 👉 @Fernando Gómez shipped a real estate WhatsApp lead-classification system for a Málaga agency with €3.2K upfront + €299 MRR attached immediately. 🎥 Super Win Spotlight | @Jan Goergen Makinson Jan joined AIS+ after completing the AFT Challenge because he wanted to go deeper into AI automation and surround himself with builders actually doing the work. Since joining, he and his team have: • Built their own property-management SaaS using Claude Code + Lovable • Expanded the software for additional residential complexes in Cyprus • Signed a long-term AI documentation project with a new client • Turned that client relationship into both a monthly retainer AND equity in the company One of the biggest lessons Jan shared: You can learn tools from YouTube…But you can’t replace having helpful people around you when things get difficult.
🏆 Community Wins Recap | May 2 – May 8
DAY 3 OF #AISChallenge
Hi, everyone! This time, I’ve created an infographic generator using Nano Banana and Pillow. I can trigger it using natural language or via command. Initially, it only used Nano Banana, but since the text was poorly formatted and I let Claude know, he implemented Pillow. Although the text has improved, the images are now a bit uglier, haha. I don’t really like it, but I’m still learning and improving.
DAY 3 OF #AISChallenge
#AISChallenge-Day 2
Just ran my first scrape with Claude Code + Firecrawl MCP — and it actually worked on the first try. What I scraped: Booking.com hotel search results for Dubai — 25 properties extracted, including hotel names, locations, ratings, review counts, property types, and direct booking URLs. All saved automatically to a clean CSV. What surprised me: I didn't have to tell Claude Code which Firecrawl tool to use or how to call it. I just dropped the URL, and it figured out: use firecrawl_scrape, add a waitFor for the JS-heavy page, parse the markdown, detect the page type (directory/listing), map the right columns, name the file correctly, and write the CSV. Use case idea: Hotel and short-term rental research for travel clients or property investors — scrape competitor listings across Booking.com, Airbnb, or local portals, track rating trends over time, and flag new properties entering a market. Run it on a schedule, and you've got a lightweight market intelligence feed without paying for an expensive data API. Even connecting the MCP server is a win. Once it's wired up, the scraping part is almost trivially easy. #AISChallenge
#AISChallenge-Day 2
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