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.

By default, AI models often provide positive reinforcement. To unlock their true value, leaders should use custom instructions to program their AI to act as a challenging strategist. Feed it core principles and prompt it to critique ideas and push for bigger thinking.

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.

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.

The most effective way to use AI in product discovery is not to delegate tasks to it like an "answer machine." Instead, treat it as a "thought partner." Use prompts that explicitly ask it to challenge your assumptions, turning it into a tool for critical thinking rather than a simple content generator.

Move beyond using AI as an assistant and program it to be a critical sparring partner. Pendo's Field CPO had his AI analyze his codebase and brutally call him out for building a system for himself, not for others, forcing a strategic realignment.

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.

To avoid the trap of adopting the last opinion you heard, Galloway suggests a modern tactic: after reading something, prompt an AI to 'make an argument against this.' This low-friction method forces you to confront counterarguments, either tempering your view or strengthening your conviction with a more robust understanding of the topic.

AI models often default to being agreeable (sycophancy), which limits their value as a thought partner. To get valuable, critical feedback, users must explicitly instruct the AI in their prompt to take on a specific persona, such as a skeptic or a harsh editor, to challenge their ideas.