The video you just watched made itself. I gave Claude Fable 5 one prompt inside Claude Code, walked away, and came back to a finished video I never filmed, edited, or even watched while it was being built. In this one I show you what Anthropic's new Mythos-class model can actually do, then break down exactly how it wrote the script, cloned my voice, rendered the avatar, built every motion graphic, and edited the whole thing on its own.

For a while now I've struggled to make the change from n8n to Claude Code / Hermes with my content. I make videos for hyper-specific use cases, and that was a lot easier to do with n8n. But I've been spending more time with coding agents and AI operating systems, and I'm finally getting the hang of them to the point where I understand the new format I'll be building videos around: AI "Employees" Hermes profiles, or tailored skill files + cron jobs, that each handle one hyper-specific problem. This first video is a super simple use case, but for contractors it starts to claw back the admin time that chips away at your week. In the tutorial I cover: - Getting a server live with Hermes - Setting up a Context Operating System tailored to residential builders - Connecting it to Telegram - Giving your employee access to Gmail + Google Drive Hope you enjoy. There's a lot more coming, I have a lot to say about making these coding agents solve real business problems. 👉 https://youtu.be/AqjNpddohqk

Rebuilt my Hermes setup from scratch 3 times. I broke down the full mental model, what each folder actually does, how I use SOUL.md to enforce structure, why hermes profiles are the key, and how I'm packaging all of this to sell AI employees to contractors. The big unlock for me was separating the agent's brain from the filing cabinet. Once that clicked, everything else fell into place. I recorded a loom to walk through my thoughts! At the end I talk about how I am selling these systems 😁 https://www.loom.com/share/70da16b66039490dbb9191d95e7126fe

You can't build a real company on someone else's foundation. So what's the solution? You must build with data first. Here's how it works: 1. Figure out what your customer is trying to achieve 2. Map out all the things that need to happen for them to achieve it 3. Build systems that capture data about those things 4. Use that data to predict outcomes The AI just turns messy input into clean numbers. Your data and equations make the actual decisions. This is how you build something that lasts 10 years instead of 6 months. I just released a video breaking down the full framework. It's 15 minutes. Link in comments. Stop building wrappers. Start building moats. https://youtu.be/iyZwe6kAmfQ

Hey everyone, I went ahead and took all of my 7 part series from my community and turned it into one easy to find Youtube resource, Over the past year building custom AI solutions for construction companies, I discovered why 90% of AI systems never get adopted: they're built like slot machines when they should be built like calculators. These lessons teach you the exact framework I use to build AI systems that: ✅ Give consistent results every single time (no hallucinations) ✅ Are explainable to clients (they trust what they understand) ✅ Command premium prices ($20K+ vs $5K gigs) ✅ Create recurring revenue (clients can't leave) ✅ Scale without breaking You'll learn: - The "Game Engine" approach to AI systems - Why the LLM should translate, not decide - The Railroad Metaphor for system architecture - How to turn business decisions into equations - Building interpreter agents that eliminate randomness - System tuning for 95%+ accuracy https://youtu.be/kRQGClODMfw