Better Questions, Better Results

What Questions Should We Be Asking AI? Rethinking Intelligence: Why the Questions Matter More Than the Code Before we unleash AI into the world, we must first tame how we think about it. What should we ask? What should we avoid? And who gets to decide? The question “What questions should we be asking AI?” isn’t just about prompt engineering—it’s about responsibility, foresight, and power.  The quality of our questions determines how AI evolves, who it serves, and who it ignores. From predictive policing to medical diagnostics, our interactions with AI are shaped not only by the data and code—but by the questions that went unasked. Why Now? We’re living through a  “question crisis.”  AI systems are making real-world decisions based on poorly framed problems. Healthcare AI : IBM’s Watson for Oncology offered flawed recommendations because it was trained on hypothetical cases from a single hospital. Missing question: Is our data globally representative? Criminal Justice : To...

What’s More Important, Intelligence or Network? Why Who You Know Can Shape What You Know—And When It Doesn’t  Reframing the Question If you had to choose between being the smartest person in the room or knowing everyone in it, which would you pick? The intelligence versus network debate isn’t just about career advancement—it’s about understanding how value creation works in complex systems. Intelligence represents your capacity to generate insights, solve problems, and adapt to new information. Network represents your ability to access resources, amplify impact, and navigate social systems. But here’s what most analyses miss:  the optimal balance shifts dramatically based on context, timing, and the type of value you’re trying to create. The most successful individuals don’t choose one over the other—they develop what we might call “contextual intelligence”: knowing when to prioritize building connections versus deepening expertise, and recognizing how different types of intel...