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Revealed Preferences vs Stated Preferences: The Silent Killer of Product and Organizational Strategy
Every product and engineering leader has seen this pattern. A room full of smart people declares: “We want fewer priorities.” “We will follow the operating model.” “This initiative is the top strategic priority.” “We are committed to data-driven decisions.” Then, within days, behavior contradicts what was said. Side work appears.… Read more ⇢
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From Middle-to-Middle to End-to-End
Most product organizations are structured to work middle to middle. Product managers gather requirements from the market, engineering teams build features, customer success teaches clients how to use them, and support handles escalations. It is an elegant theory of specialization. And yet, in practice, this model often creates distance from the… Read more ⇢
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Why First Principles Thinking Matters More Than Ever in the Age of AI
It sounds a bit dramatic to argue that how you think about building products will determine whether you succeed or fail in an AI-infused world. But that is exactly the argument: in the age of AI, a first principles approach is not just a mental model; it is essential to cut through… Read more ⇢
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Drucker and the AI Disruption: Why Landmarks of Tomorrow Still Predicts Today
When Peter Drucker published The Landmarks of Tomorrow in 1959, he was writing about the future, but not this future. He saw the rise of knowledge work, the end of mechanical thinking, and the dawn of a new age organized around patterns, processes, and purpose. What he didn’t foresee was artificial intelligence,… Read more ⇢
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The Future of AI UX: Why Chat Isn’t Enough
For the last two years, AI design has been dominated by chat. Chatbots, copilots, and assistants are all different names for the same experience. We type, it responds. It feels futuristic because it talks back. But here’s the truth: chat is not the future of AI. It’s the training wheels phase… Read more ⇢
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How AI Is Opening New Markets for Professional Services
The professional services industry, including consulting, legal, accounting, audit, tax, advisory, engineering, and related knowledge-intensive sectors, stands on the cusp of transformation. Historically, many firms have viewed AI primarily as a tool to boost efficiency or reduce cost. But increasingly, forward-thinking firms are discovering that AI enables them to expand into… Read more ⇢
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The Great Reversal: Has AI Changed the Specialist vs. Generalist Debate?
For years, career advice followed a predictable rhythm: specialize to stand out. Be the “go-to” expert, the person who can go deeper, faster, and with more authority than anyone else. Then came the countertrend, where generalists became fashionable. The Harvard Business Review argued that broad thinkers, capable of bridging disciplines, often outperform specialists in… Read more ⇢
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🎄 ADVENT OF PROMPTS 2025
Every December, people open tiny cardboard doors for chocolate, toys, and small surprises. This year, we’re opening something more powerful: 25 days of prompts to level up how you think, build, and lead with AI. The Advent of Prompts is a structured, 25-day series designed to sharpen how you frame problems, design prompts,… Read more ⇢
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pip Failing with CERTIFICATE_VERIFY_FAILED on macOS? Here’s the Fix for Zscaler, SSL Inspection, and Corporate Firewalls
If you’re developing behind a corporate firewall that uses Zscaler, Blue Coat, Palo Alto Decryption, or any other SSL-inspecting proxy, you’ve likely run into this Python error: This happens because these security tools intercept encrypted HTTPS traffic, decrypt it for inspection, then re-sign it using the company’s internal root certificate. Python’s pip does not automatically trust… Read more ⇢
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