How To Make Your AI Ask The Right Questions (Before It Answers)

When working with AI models such as Claude or GPT-4 on complex tasks – whether it's crafting a business strategy, planning an event, or tackling a technical challenge – most people default to a simple question-and-answer exchange. You lay out your initial needs, and the AI immediately churns out a solution.

While quick, this traditional method has significant drawbacks. The AI, lacking full context, inevitably makes assumptions about critical aspects: your specific goals, constraints, resources, and nuanced preferences. Such assumptions often lead to generic recommendations, missed opportunities, and ultimately, rework.