I just installed Claude Code and built a working website by talking to it in plain English. No code. No tutorials. No developer background. Here is exactly how I did it and how you can too. 🤖 What is Claude Code? It is an AI assistant from Anthropic that runs on your computer. You tell it what you want to build in plain English and it writes the software for you. That is it. Instead of learning to code, you just describe what you want. "Build me a webpage with a button that shows a popup." Done. It does it. 🖥️ What you need before you start You need a paid Claude account. Pro at $20 a month works. The free plan will not give you access to Claude Code. That is the only requirement. ⚡ How to install it on Mac in 3 steps Step 1. Open Terminal on your Mac. Press Command and Space, type Terminal, hit enter. Step 2. Paste this one command and hit enter. curl -fsSL https://claude.ai/install.sh | bash Step 3. Type claude and hit enter to launch it. The first time it launches it will open your browser and ask you to log in with your Claude account. Click authorize and you are in. 🚨 The most common mistake people make After the install finishes you will see a yellow warning that says your PATH is not set up. This means your computer does not know where to find Claude yet. All you have to do is paste this one line and hit enter. echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.zshrc && source ~/.zshrc Then type claude again and it will work. 🎯 Your first demo task Once you are inside Claude Code, do this. Create a project folder first. mkdir my-first-project && cd my-first-project Then type claude to launch it inside that folder. Now just say this in plain English. "Create a simple webpage with a button that says Click Me and shows a popup when clicked." Watch it build the whole thing for you. When it is done type this to open it in your browser. open index.html You just built a working website without writing a single line of code.

⚡ THE BIG IDEA ScrollHooker isn’t a tool — it’s your AI-assisted creative engine. It studies what makes people stop scrolling, then fuses that with human psychology, storytelling, and platform data to help you build viral content without losing authenticity. 🧩 HOW IT WORKS 1. Trend Sensitivity Layer → Detects high-velocity trends (50%+ growth in 24 hours). 2. ENGAGE Framework → Ensures every hook hits one of six core drivers: Entertain, Nurture, Generate Emotion, Authenticate, Guide, Establish Trust. 3. Authenticity Overlay → Injects vulnerability and POV humor for human connection. 4. Rapid Validation System → Tests multiple hook variants and scales winners fast. 🎬 BEFORE VS AFTER Old Hook: “5 productivity hacks that will change your morning routine.” ScrollHooker Hook: “POV: you’re chronically late but still think a 5 am routine will fix your life 😭 (here’s what actually worked).” See the difference? One’s a tip list. The other’s a story you feel. 🔍 WHY IT MATTERS Because attention is the new currency — and ScrollHooker helps you engineer it without becoming clickbait. • Captures attention in under 3 seconds • Learns from your best-performing content • Adapts hooks per platform (TikTok | Reels | Shorts) 👉👉 https://chatgpt.com/g/g-TmBqu2kYX-scrollhooker 👈👈

Here is a for my content creators that need a prompt for viral scripts and I have something special if you get to LEVEL 2 in the community. ENJOY!!!! FREE Access to the actually customGPT when you hit LEVEL 2 💪😎 https://www.skool.com/ken-khamphiphone-8826/classroom

Most people upload a transcript into AI and ask for a summary. That’s the mistake. Summaries give you surface-level ideas. Bullet points. Talking points. The obvious stuff. But the real value inside long-form content isn’t the summary. It’s the structure. The frameworks. The first principles. The architecture behind the teaching. So instead of asking AI to summarize a transcript, force it to process the entire document as a system. Tell the model to review the transcript several times without partitioning. Long documents often get skimmed because models break them into chunks. That’s how frameworks get missed. Once the model processes the full transcript, ask it to extract the underlying structures. Not what was said, but how the ideas are built. Then make the model grade itself. Ask it how confident it is, from 1–100, that all frameworks and principles were captured. This forces a second layer of reasoning and exposes anything that may have been missed. Finally, compress the output into a short TL;DR version. Now you have two layers. The deep architecture.And the simplified outline. Most people use AI to move faster. But the real leverage comes from using AI to think deeper. Because once you extract frameworks instead of summaries, every transcript becomes a repeatable system you can reuse. Video walkthrough: https://www.youtube.com/watch?v=D_DxnOHPhXE

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