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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 ⇢

    Why First Principles Thinking Matters More Than Ever in the Age of AI

  • 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 ⇢

    Drucker and the AI Disruption: Why Landmarks of Tomorrow Still Predicts Today

  • 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 ⇢

    The Future of AI UX: Why Chat Isn’t Enough

  • 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 ⇢

    How AI Is Opening New Markets for Professional Services

  • 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 ⇢

    The Great Reversal: Has AI Changed the Specialist vs. Generalist Debate?

  • 🎄 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 ⇢

    🎄 ADVENT OF PROMPTS 2025

  • 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 ⇢

    pip Failing with CERTIFICATE_VERIFY_FAILED on macOS? Here’s the Fix for Zscaler, SSL Inspection, and Corporate Firewalls

  • Solving the Discovery Problem When Organizing MCP Servers by Domains

    As organizations adopt Model Context Protocol (MCP) servers to extend and customize their AI systems, a common architectural question arises: How do you organize servers by domain while still making them discoverable and usable across the enterprise? The promise of MCP servers is modularity: each server encapsulates a domain’s knowledge, tools, or APIs.… Read more ⇢

    Solving the Discovery Problem When Organizing MCP Servers by Domains

  • Innovation at Speed Requires Responsible Guardrails

    The rush to adopt generative AI has created a paradox for engineering leaders in consulting and technology services: how do we innovate quickly without undermining trust? The recent Thomson Reuters forum on ethical AI adoption highlighted a critical point: innovation with AI must be paired with intentional ethical guardrails. For leaders focused… Read more ⇢

    Innovation at Speed Requires Responsible Guardrails