I just open-sourced the tool I built this week to pull my own channel's private metrics. Not the public stuff. The real stuff YouTube Studio gatekeeps: - Retention curve with exact timestamps where people are dropping off - - Traffic source breakdown (subscribers vs browse vs search vs external links) - - Subscribers gained per video - - Watch time, avg % viewed, geo, age/gender I ran it on my last upload and found out 50% of viewers were gone by 30 seconds. The biggest drop hit at the 20-second mark. That one number changed how I'm writing my next intro. Here's the repo: https://github.com/treycooper3/youtube-analytics-skill Setup takes about 10 minutes (free Google Cloud project + one-time browser login). After that it's one command: python3 tools/youtube_analytics.py If you're on Claude Code, there's also a skill included. Drop it in ~/.claude/skills/ and just say "pull my YouTube analytics" and it does the work + gives you the "why it performed" read on top of the numbers. Built this for myself, figured the community should have it too. Drop any questions below and I'll help you get it running.

New video is live, and this is the most honest breakdown I've done yet. I put my whole plan on camera: how I'm building $2,750 a month with AI to walk away from my 9 to 5. I go through all 4 income engines I'm building right now, and why I refuse to bet everything on just one of them. This is the build-in-public version of everything we work on in here. Not theory from the other side of success, the actual plan while I'm still in the middle of building it. Watch it here: https://youtu.be/fb6l5dFdNpI After you watch, drop a comment below: which of the 4 engines would you start with first? Let's talk it out.

Quick one for the room. The person talking in this video is not me. It's my AI twin, trained on a 2 minute clip and my own voice, then scripted and rendered in a few commands. No camera, no crew, no editor. This is the leverage I keep talking about. One person plus AI can now make content that used to take a studio and a full week. I used it to talk through what I'm building with LuxCor AI, but the bigger lesson is the system itself. Inside the AI Systems track I'll break down exactly how to build your own twin and put it to work. Want the full walkthrough? Drop a comment. Let's get to work.

A commercial HVAC contractor had the skills, the license, and the reputation. What they did not have was any digital presence. No website, no CRM, calls going to voicemail during jobs. In a market where bids go out in hours, they were losing deals before they even knew the deal existed. So I built the whole stack: - A custom brand identity and a high-converting website - - An AI receptionist named Adam that answers every call 24/7 - - A 9-step automation that turns each form submission into a branded proposal deck in under 60 seconds Result: every lead captured, every call answered at about $0.10 a call, and a custom proposal in the prospect's inbox before the competition picks up the phone. They went from invisible to fully operational in under two weeks. The lesson: a business is not one tool. It is a system where every piece feeds the next. Build the pipeline, not the parts. Comment "proposal" if you want the 9-step automation mapped out.

A financial aid company was drowning in the same phone calls every day. "How do I fill out the FAFSA?" "What documents do I need?" "Can I book an appointment?" Every routine call pulled the team away from the students who actually needed help. So I built Dominique, an AI voice agent that answers every call, 24/7. She: - Verifies caller identity in a 5-step process - - Handles the common FAFSA and financial aid questions - - Books appointments automatically - - Warm-transfers complex cases to a human with full context Result: about $0.15 per call vs roughly $40K a year for a receptionist. Every call answered, nights and weekends included, with sub-second responses so it still feels human. The lesson for The Boardroom: AI does not replace your team. It buys back their time. Find the one repetitive task that eats your day and automate that first. Comment "voice" and I will break down how the call flow is built.