💰 Week 1 winner @Ian Barriopedro took home $200 cash. 🎟️ This week the prize gets bigger. ✨ Winner gets a FREE seat in The Lyceum. ✨ https://www.skool.com/quantum-quill-lyceum-1116/12-weeks-real-projects-250k-in-prizes-lets-talk?p=e850567b 🎯 Pick your cohort: Technical, Business, or Creator. Your call. 📋 THE CHALLENGE: "The Returning Client" You just got hired again. Different client this time. Meet Marcus. 👋 📎 Download the full client brief attached to this post. 🛠️ YOUR DELIVERABLE An interactive artifact built in Claude that does what Marcus asked for. ✍️ Plus a 100 word writeup covering: - 👤 Who it's for - ⚙️ What it does - 🎨 One design choice you made and why 📐 THE RULES ✅ It has to work ✅ It has to sound like Marcus, not a bank ✅ The writeup matters ⚖️ Judging: Myself, Jake, and the mods. 🎟️ Who can enter: Premium and VIP members only. Free members, this is your sign. Upgrade and you're in the running for a Lyceum seat. 🚀 📨 How to submit: Drop a screen recording or screenshot of your artifact, the link if you've got one, and your writeup in the comments below. 📅 Deadline: Saturday, May 2nd at 12:00 PM EST 🎉 Winner announced: Monday, May 4th at 12:00 PM EST 💡 A note before you start. This isn't a finance challenge. It's a design and voice challenge. You don't need to be a CFP to win this. Read the brief. Marcus tells you exactly what he wants and how he thinks. Your job is to build something that solves his problem and sounds like him. 🆕 If you've never built an artifact in Claude before, this is a great first one. The brief is clear, the scope is reasonable, and the bar is "would Marcus actually send this to a prospect?" 🔥 @Ian Barriopedro set the standard last week. Your turn. LFG 🚀

Tell us three things: 1. What you do (job, industry, student, career-changer, whatever) 2. What brought you to Clief Notes 3. One thing you're trying to figure out right now related to computing or AI I'll respond to every single one. And read each other's intros too because the person who's stuck on the same problem as you might already be in this thread. I'll go first I am Jake, I have been working in tech for 15 Years, building with Generative AI for 3 Years straight now! Excited to teach and learn! That's it. Simple, scannable, gives you data on who's joining and what they need, and keeps the feed clear for content that retains people past week one.

This post has a video example. **TLDR:** Console injection. Anything running in a browser can print a control menu to the console. Claude reads it. Now it knows what it can do, and controls the site without an API. So, no back-end needed. Super simple. Want the full picture? Keep reading. Want your LLM to build this for you? Copy/paste this whole post. --- **THE PROBLEM** You want your LLM to control something in your browser. Your options aren't great: 1. Claude-in-Chrome's built-in tools. It doesn't know what your site does or how to use it. It takes screenshots and guesses. Slow and token-heavy. 2. Build an API server. Now you're managing keys, hosting, and paying per call. **THE SOLUTION: CONSOLE INJECTION** There's a third option. Whatever you're building loads in the browser. On load, it prints a list of controls the AI can use. The LLM reads the console, sees the control list, and runs JavaScript to call those controls directly. It's just a simple JavaScript control list sitting in the console. You can even add a workflow so the AI has an idea of what it can do with those controls. This works for anything that runs in a browser. A SaaS tool, an internal dashboard, a local dev environment, a canvas editor, a data pipeline UI - if it renders in a browser tab, you can give an LLM a control panel for it. Here's what it looks like in one of my tools (hit F12 to see your own console): ``` [AI-ACCESSIBLE] This app can be controlled via JavaScript. * Sidekick.help() - Complete tools reference (returns JS object) * Sidekick.teach() - Full teaching guide, 14 sections logged to console * Sidekick.tool(name, input) - Execute any tool directly * Sidekick.batchAutomap(mappings) - Smart batch mapping (recommended) help() + teach() contain everything needed. No need to fetch external files. ``` The LLM sees that, and it's immediately trained. It can read state, click buttons, type things, batch operations - whatever you've exposed. **IT GETS BETTER**