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Explore The New AI prompting Method Everyone Is Talking About: Loops (And How To Use Them) with 208,769 views, 4,611 likes, and 194 comments. Experience the impact of this video content that has captured audience attention.

Boris Cherny (the creator of Claude Code) and Peter Steinberger (creator of OpenClaw) have both said this is now how they program. They don't prompt a chatbot or write code by hand, they build loops where the AI prompts itself. They're calling it the future. It's also super confusing if you're just hearing about it. So this video breaks down exactly what loops are, how to use them, what they're good for, what they're NOT good for, and walks through real demos so you can start using this yourself. You don't have to be technical to follow along. If a terminal window scares you, don't worry, I do the whole thing inside the Claude Code desktop app. We build a real-world example from scratch: growing an online pickleball store using 3 AI agents running at the same time. One builds a Harry Potter x pickleball personality quiz, one scouts content opportunities across Reddit and competitor sites, and one turns it all into ready-to-use marketing (emails, social captions, site recommendations). Then I show you how to hand the whole thing off to an orchestrator agent so it runs on a weekly loop automatically. We finish with a 4-scenario quiz where you figure out how you'd loop each one. One note: I made this just before Anthropic released Claude Fable 5 (June 9, 2026), and that launch makes everything in here matter even more. Fable 5 is Anthropic's first Mythos-class model, built specifically for the long-running, multi-stage autonomous tasks that loops depend on, like planning across stages, delegating to sub-agents, and checking its own work for hours at a time. The method I'm showing you here just got a serious upgrade. 🔑 WHAT YOU'LL LEARN - The difference between prompting and looping - How to run multiple AI agents in parallel in the Claude Code desktop app - The core stages of every loop: discovery, planning, execution, verification, iteration - Open vs closed loops — and which one won't burn through your budget - How to set up an orchestrator agent to manage a fleet on a weekly schedule - 4 real-world scenarios you can loop today 🛠️ TOOLS MENTIONED Claude Code · Claude desktop app · OpenClaw · Figma (Note: you'll need a Claude Pro plan or higher to access Claude Code) 📌 KEY PEOPLE Boris Cherny (Claude Code) · Peter Steinberger (OpenClaw) This is the shift from holding the tool to designing the system. If you use AI for work, content, coding, research, or running a business, this is the mental model you need for the rest of 2026. ⏱️ TIMESTAMPS 0:00 - Why the top AI programmers stopped prompting 0:44 - What a loop actually is (the old way vs the new way) 1:28 - The 5 stages of a loop, explained visually 2:45 - Open loops vs closed loops (and which to use) 3:35 - Real-world example: growing a pickleball store 5:00 - The 3-agent system, mapped out visually 7:16 - Building it live in the Claude Code desktop app 7:28 - Agent 1: the quiz builder prompt 8:07 - Agent 2: the content scout prompt 9:21 - Agent 3: the growth marketing agent prompt 11:18 - Checking the results: 13:38 - How to automate it all with an orchestrator agent 15:35 - QUIZ: how would you loop these 4 scenarios? 15:47 - Scenario 1: the freelancer 16:39 - Scenario 2: the student 17:22 - Scenario 3: the online shop owner 17:53 - Scenario 4: the YouTube creator 18:22 - Where AI falls short (and why you stay in the loop) And if you want the prompts used in the video, they're here: https://benstevenson.notion.site/Loop-Engineering-Prompts-37bbe0f4c24f80f09b92f3884c109440?source=copy_link I also put together a free guide with 10 loops you should get started with. It includes copy + paste prompts, instructions, and advice on which ones work best for your use case. You can get it for free here: https://www.sciencebased.ai/resources/loops

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