How to Build High-Performing Teams Masterclass Recap
June 30, 2024
Here’s the link to the working doc we used in class. Thanks everyone for your participation!
Here’s the link to the working doc we used in class. Thanks everyone for your participation!
Here’s the link to the working doc we used in class. Thanks everyone for your participation!
Positioning a Brand Is One Thing. Structuring to Execute Across Many Is Another. Summary Insight: Positioning wins the mind. Structure wins the market. If you’re building a house of brands, execution depends on how you allocate power, not just how
Summary Insight: AI won’t fix chaos—it reveals it. Your structure, not your stack, decides whether agents scale execution or get thrown out. Key Takeaways: Shared context is the bottleneck for both humans and AI agents. Structure drives AI success without
Summary Insight: Your business is a brain. Train it to predict, adapt, and win—or get left behind. Key Takeaways: Rigid control systems fail in complex markets—neural-inspired adaptability wins. A shared, evolving world model lets your team predict and act faster.
How to Become an AI-First Company Summary Insight: To scale AI intelligently, you must centralize first—then unleash innovation at the edges. Key Takeaways: Scattered AI tools create data silos, misalignment, and waste. A centralized AI Intelligence Layer unifies data, tools,
Just released: the latest Forward Future newsletter featuring my new article — Applying Organizational Physics to AI Adoption. It’s a must-read for leaders serious about scaling AI the right way. https://www.forwardfuture.ai/p/applying-organizational-physics-to-ai-implementation. Forward Future is one of my favorite sources for
Physics is the Law and Everything Else is a Recommendation Summary Insight: If Grok 3.5 is built from first principles, your company should be too. You can’t bolt cutting-edge AI onto a disordered organization and expect magic—first, fix the foundation.
Without an AI Intelligence Layer, Your Enterprise AI Strategy Will Fragment, Not Scale Summary Insight: Connecting LLMs to your enterprise through MCP alone creates a disconnected, dumb system. To scale with intelligence, you need a centralized execution engine — an
Don’t Mold the Role. Design the System. Summary Insight: Doing what’s most important doesn’t mean ignoring your strengths—it means designing a system where both align. This article challenges the latest leadership cliché and shows how real impact scales. Key Takeaways:
How Type 1 and Type 2 Thinking Powers Scalable AI-Human Collaboration Summary Insight: If you want to scale AI inside your company without introducing chaos, you need to do more than “implement tools” — you need to design governance systems
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