Growth Everywhere | Entrepreneurial Stories | Business Lessons

Most people use Hermes like a glorified ChatGPT, and that mistake is costing them 90% of the leverage available to them. In this video, I break down the exact framework for turning Hermes into a true business multiplier: ⬛ How context becomes artifacts, and how artifacts become reusable skills ⬛ Why prompts are disposable but skills compound ⬛ How to make Hermes multiplayer across your entire team, not just yourself ⬛ The 8 levels of Hermes, from asking simple questions to building a true company brain ⬛ Why governance and permissioning matter before you scale AI across your business If you're a founder or operator still treating your AI agent like a search box, this will change how you think about what's possible. Chapters 00:00 The #1 Mistake Killing Your Hermes Results 00:31 The Framework: Context → Artifacts → Skills 01:32 Building a Strategic Thought Partner 03:27 Scaling Your Thinking With Artifacts 07:19 Making Hermes Multiplayer (Company Brain) 08:52 Skills vs Prompts vs Loops 11:12 Single Brain &

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95% of the time, it's not a people problem. It's a process problem. So I set out to fix the process and in doing it, I found a way to clone my best employees. How skills took my X account from ~100K to 3M+ monthly impressions The finance skill that found $500K in hidden costs in 30 minutes Our internal "Skills Dojo" - think GitHub meets an app store for your team's best skills How evals and agentic loops turn one person into the work of 5-10 Chapters 00:00 Clone Your Best Employees With Skills 00:25 The Results: 3M+ Views on X 00:43 Building & Forking Skills 02:00 Fat Skills, Thin Harness 02:13 Skills That Drive Real Leads 02:48 The AI Marketing Skills Repo (2,600 Stars) 04:00 The Finance Skill That Saved $500K 04:53 X Long-Form Writer + Humanizer 05:39 Inside Our Skills Dojo 08:04 Publishing & Sanitizing Skills 09:00 Most Problems Are Process Problems 10:48 Speaking at MozCon NYC 11:26 Training The Team Like Jedi 12:03 The Person Of One 14:05 What Makes A Real Skill 14:18 What Is A Good Eval? 15:04 Agentic

Most companies are approaching AI the wrong way. They buy subscriptions, run a few experiments, and wonder why nothing changes. In this video, I break down the exact systems we're using to help teams become AI-native, from skill repositories and internal AI training programs to operational standards that increase speed, alignment, and execution. I also share why the future belongs to "pods of one" and how organizations can create a culture where employees continuously level up instead of waiting for permission or training. Chapters (00:00) Why Most Companies Still Suck at AI (00:13) Building an Internal Skills Repository (01:44) Using Leaderboards and AI Gamification (02:17) The Rise of the Pod of One (03:39) How AI Apprenticeships Create Leverage (04:43) Command by Negation Explained (05:44) Why High Agency Teams Win (06:25) Creating an AI-Native Culture (06:43) Final Thoughts