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🔒 Q&A w/ Nate is happening in 7 days
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🚀New Video: Every Level of Claude Explained in 21 Minutes
I've spent over 400 hours inside Claude, and I'm breaking down exactly what separates someone stuck on level 1 from someone running five parallel sessions while they sleep, with the cheat codes to jump between each stage. Hope you enjoy!
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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 4 of #AISChallenge
This is an automation that searches Reddit and Quora forums to see what people are discussing and what questions they have regarding matters of faith. It also searches YouTube for related content that people are looking for around these topics of interest. I ran into an error: the automation was running on an old code, which prevented trigger.dev from processing some new changes I made. That’s why the searches took so long or simply didn’t run at all. This class was great!
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day 4 of #AISChallenge
#AISChallenge - Day 3
What I built: /research — buyer keyword extractor with HTML gallery output The skill searches the web via Firecrawl, scrapes the top results, and produces a self-contained HTML report you can open directly in a browser. It extracts product keywords organized by category (synonyms, product names, specs, use cases, navigation labels) + an image gallery pulled from every <img> tag on the page. Trigger: /research <topic> — or just say "research X for the UK market" and it picks it up naturally. One optimization I made: The first version returned a markdown text report. After watching it run, I realized the output was all words and no visual context — I had no feel for how the product actually looks on pages buyers visit. So I added formats: ["html"] to the Firecrawl call, extracted image URLs from <img src> tags, and rewrote the output as a styled HTML file with a product gallery. Now every report shows the actual photos customers see alongside the keywords. Second smaller one: I added a capital city rule, it automatically appends "Capital city" to the search query. If you say "German market" it appends "Berlin". This anchors results to where buyers in that country actually search from, instead of getting generic global results. Skill is ~130 lines. Built iteratively in one session by running real searches and adjusting based on what came back.
#AISChallenge - Day 3
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