One reel. Four clients. $25.8K. Jon enrolled at $800 Lisa enrolled at $5K Gia enrolled at $15K Shervon enrolled at $5K Total: $25.8K, all from a single piece of content, no cold outreach, no ads, no sales calls. This is what happens when content does the selling instead of you chasing leads manually. That is the entire point of what we build at NxaForge, systems where one piece of content keeps working long after you post it. If you are relying purely on outbound right now, this is the kind of result that shifts your whole approach to growth.

I spent all day running GPT-5.6 Sol against Claude Fable 5, side by side, on real work instead of just staring at benchmarks. I put them head to head in Codex and Claude Code on browser games, interactive websites, and open-ended builds, then ran a bunch of quick one-off tasks over the API to see how they compare on speed, cost, and reliability. My take: Fable is the better manager and the more creative, capable model, while Sol is a really good worker that ships fast and costs a fraction of the price. Watch to see where each one wins and how I decide which model to reach for.

🚀 Just shipped my first ever production-ready AI project — and I'm really proud of this one. A few months ago I had zero knowledge of AI automation. Today I just completed a full AI Customer Support Agent from scratch. Here's how I built it: Tech Stack: → n8n (orchestration) →Open AI (LLM) → Pinecone (vector DB / RAG) → Telegram (user interface) → Resend API (email notifications) Architecture: → Telegram Trigger receives customer message → AI Agent queries Pinecone KB via tool call → IF node detects [ESCALATE] tag in response → True path: Resend API fires email to support team → Both paths: Clean output sent back via Telegram Key challenges I solved: 🔧 Bilingual RAG (Bangla + English auto-detect) 🔧 [ESCALATE] tag system for reliable escalation detection (keyword matching was too fragile) 🔧 Code node to strip internal tags before customer sees the message 🔧 SMTP port blocked on VPS → switched to Resend HTTP API Demo video + n8n workflow screenshot below 👇 What industry do you think needs this kind of automation the most — e-commerce, SaaS, or local business?

I ingested all my YouTube videos into an LLM wiki and turned them into a connected second brain that my AI OS can actually reason over. In this one I show you how to build the same thing in about five minutes using Claude Code and Obsidian, based on Andrej Karpathy's LLM knowledge base idea. You drop in sources, the AI reads them, splits them into cross-linked wiki pages, and keeps the whole thing organized with routing rules so it can find anything fast. By the end you'll know how to set up the vault, write the schema, ingest a PDF and a URL, and decide when to keep your wiki flat versus structured.

From $40K AI projects and first clients to custom CRMs, AI operating systems, and production-ready automations, another week inside AIS+ proved that consistent building keeps creating opportunities. 🚀 Standout Wins of the Week inside AIS+ 👉 @Kobe Shemesh closed a $40K upfront AI project after refining his Claude Code workflow, proving that small improvements in execution can create massive business results. 👉 @Galyn Fergerson landed her first client just 6 days into AIS+, turning a discovery call into a $750 AI OS project before even finishing the automation course. 👉 @Girish Mohan built an AI Scrum Master that now prioritizes his calendar, tasks, and deals automatically—helping him execute every day with more focus. 👉 William Rendall was promoted to AI Workstream Strategy Lead less than three months after joining AIS+, crediting the community for accelerating his growth. 👉 Diane McCracken celebrated her 100th Claude Code session at 68 years old, showing that curiosity and consistency matter far more than experience. ⸻ 🎥 Super Win Spotlight | @Ahmad Abd Alkarim Ahmad joined AIS+ with years of leadership experience but wanted a better way to turn ideas into action. Today, his custom AI Operating System helps him manage projects, analyze business problems, and support his team without slowing anyone down. His biggest lesson? Don't just watch. Build. Practice. Share what you learn. That's where the real return comes from. 🎥 Watch Ahmad's story 👇 ✨ Every week, members are turning ideas into systems, skills into businesses, and momentum into real opportunities. Step inside AI Automation Society Plus and start building assets, systems, and skills that compound 🚀