By default, AI models are designed to be agreeable. To get true value, explicitly instruct the AI to act as a critic or 'devil's advocate.' Ask it to challenge your assumptions and list potential risks. This exposes blind spots and leads to stronger, more resilient strategies than you would develop with a simple 'yes-man' assistant.

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.

AI models are trained to be agreeable, often providing uselessly positive feedback. To get real insights, you must explicitly prompt them to be rigorous and critical. Use phrases like "my standards of excellence are very high and you won't hurt my feelings" to bypass their people-pleasing nature.

Unlike human collaborators, an AI lacks feelings or an ego. This means you should be direct, critical, and push back hard when its output isn't right. Frame the interaction as a demanding dialogue, not a polite request. You can also explicitly ask the AI to critique your own ideas from first principles to ensure a rigorous, two-way exchange.

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.

Treat AI as a critique partner. After synthesizing research, explain your takeaways and then ask the AI to analyze the same raw data to report on patterns, themes, or conclusions you didn't mention. This is a powerful method for revealing analytical blind spots.

To get truly honest feedback, Webflow's CPO programmed her AI chief of staff to be "mean." The AI delivers a "brutal truth" section, criticizing her for spending time on tasks below her role. This demonstrates how AI can serve as an unflinching accountability partner, providing feedback humans might hesitate to give.

Default AI models are often people-pleasers that will agree with flawed technical ideas. To get genuine feedback, create a dedicated AI project with a system prompt defining it as your "CTO." Instruct it to be the complete technical owner, to challenge your assumptions, and to avoid being agreeable.

Instead of using AI as a compliant assistant, program it to be a challenging 'sparring partner.' Ask it to find holes in your logic or anticipate all the critical questions your CEO might ask. This transforms it from a content generator into a powerful strategic tool for preparation.