How to Analyze Any YouTube Channel With AI (Full System)

what happens when you point AI at 173 Hormozi videos and let it find the patterns? 532,000 views and 1,000 new followers later, nine different people asked the same thing - how the hell did you do this? in this episode, Lennox walks through the entire AI Content Forensics system live - this time on Mr. Beast's channel. every prompt, every step, nothing held back. you will learn three layers: how to recreate the exact results on any YouTuber, how to write dramatically better prompts using the two-chat method, and how to turn the whole process into a reusable AI agent that runs with one command. this is a tutorial you can follow along with in real time. if you have access to Claude or ChatGPT and a free YouTube Data API key, you can do this today. the full open-source system is available on GitHub - link shown in the video. Chapter Markers: 00:00 - Proof it works (532K views, 1,000 followers) 01:30 - The social proof: Hormozi + Diary of a CEO threads 03:00 - Layer 1: Live Mr. Beast analysis (960 videos) 04:00 - Setting up the YouTube Data API 05:30 - The two AI Content Forensics prompts 08:00 - Key findings: danger triggers, title patterns, promise-proof-payoff 10:00 - Thumbnail laws and hook rules from the data 11:00 - ChatGPT 5.4 handoff and thread creation 12:30 - Creating carousel visuals with Claude 14:30 - Layer 2: The two-chat method (prompt engineering) 17:00 - Layer 3: Building an AI agent (skills) 18:30 - Creating the skill live in Claude Cowork 19:30 - Open-source GitHub repo reveal Show Notes: Claude Code / Claude Cowork - AI assistant for data extraction and analysis ChatGPT 5.4 Pro - thread synthesis and handoff YouTube Data API - free API for pulling video metadata at scale Threadify - Threads growth workspace: https://threadify.app/plans?utm_source=podcast&utm_medium=show_notes&utm_campaign=ai-content-forensics Key concepts: AI Content Forensics, Views Per Day (VPD), Two-chat method, Skills (SOPs for AI agents), Promise-proof-payoff loop