Leaders are often trapped "inside the box" of their own assumptions when making critical decisions. By providing AI with context and assigning it an expert role (e.g., "world-class chief product officer"), you can prompt it to ask probing questions that reveal your biases and lead to more objective, defensible outcomes.

Move beyond using AI for data consolidation and generation by treating it as a tough critic. Prompt it with questions like, "What have I missed?" or "If you were a top consultant, what would you have spotted?" This reframes the AI as a thought partner, forcing it to challenge your assumptions and uncover strategic blind spots.

The discipline of writing down your thought process is crucial for decision analysis. AI now amplifies this by creating a searchable, analyzable record of your thinking over time, helping you identify blind spots and get objective feedback on your reasoning.

Treat AI not just as a tool, but as a meta-tool that can teach you to improve your own usage. Regularly asking prompts like "How could I be using you better?" or "What questions should I be asking?" can reveal new capabilities and refine your prompting skills.

A high-value AI use case is as a thought partner. Before a critical meeting, use an LLM to challenge your assumptions, find blind spots, and run scenarios. This lets you enter conversations with a well-formed perspective, leading to higher-quality decisions.

Log your major decisions and expected outcomes into an AI, but explicitly instruct it to challenge your thinking. Since most AIs are designed to be agreeable, you must prompt them to be critical. This practice helps you uncover flaws in your logic and improve your strategic choices.

Instead of solely relying on AI for net-new ideas, articulate your own thoughts and have the AI play them back to you. This process helps clarify your thinking, reveal gaps in your logic, and validate your intuition, demonstrating that much of the AI's value lies in refining your existing knowledge.

Elevate AI from a productivity tool to a strategic sparring partner. Prompt the AI to adopt a critical persona, like a skeptical board member, and instruct it to find weaknesses, challenge assumptions, and ask hard questions about your strategy. This provides surprisingly rigorous and unbiased feedback to strengthen your plan.

Instead of asking an AI to solve a problem directly, start by dumping your entire idea into the tool. Then, prompt the AI to act as an interviewer, asking clarifying questions. This iterative process helps refine the concept and uncovers hidden requirements, turning the AI into a true brainstorming partner rather than just a code generator.