Writing

Why the best AI products ship before they’re ready—and why that's exactly right.

The AI revolution will be dictated by three physical constraints—compute packaging capacity, energy availability, and organizational agility—that concentrate power in gravity wells. Whoever controls these choke points, not merely the best models, will shape the next decade of AI.

As AI becomes the default starting point for every task, CEOs from IBM to Shopify are issuing mandates that range from theatrical pronouncements to enforceable operating frameworks. This post decodes these moves in a 2×2 matrix—Peacocks, Stagecraft, Bettors, and Executors—to help you spot who’s driving real transformation and who’s just playing to the crowd.

Documentation turns tacit knowledge into a strategic asset that scales communication, preserves institutional memory, and becomes the training data powering custom AI solutions. By making it context-fit, concise, visual, skimmable, current, and discoverable—and extending its depth for AI-native use—organizations convert unique insights into lasting competitive advantages.

This post examines how growing organizations can devolve into bureaucratic labyrinths that stifle innovation, drawing on insights from Olson’s theory to Conway's Law. It highlights real-world examples and strategies for streamlining processes, ensuring that the structures meant to ensure efficiency don’t ultimately hinder creativity.

Engineers know that 3D printing works best as part of a larger material system—not as a standalone solution. This principle of "borrowing tolerances" from steel, silicon, and other materials reveals a useful analogy for AI development. Like the PLA filament in thoughtful engineering designs, AI delivers its best value when integrated within robust technical systems that leverage each component's unique strengths.