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.

To counteract confirmation bias, leaders must actively seek out challenging viewpoints. While ideally this involves talking to people who will push back, a practical alternative is to use AI to role-play these challengers. This modern technique can help stress-test ideas and uncover flawed assumptions before they become costly mistakes.

AI models can amplify confirmation bias by finding evidence to support any idea. To counteract this, founders should explicitly instruct AI to argue against their idea, find disconfirming evidence, and make the strongest possible case for why a competitor would succeed. This reframes the AI from a validator to a powerful sparring partner.

Go beyond using AI for summarization by treating it as a strategic thought partner. After developing a plan, ask the AI to 'pressure test' it, 'tell you where you're wrong,' or identify blind spots to refine your thinking before presenting it to stakeholders.

AI models tend to be overly optimistic. To get a balanced market analysis, explicitly instruct AI research tools like Perplexity to act as a "devil's advocate." This helps uncover risks, challenge assumptions, and makes it easier for product managers to say "no" to weak ideas quickly.

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.

To get maximum intellectual value from AI, explicitly instruct it to challenge you. Using prompts like 'Tell me why I'm wrong' or 'Identify my blind spots' transforms AI from a sycophantic assistant into a powerful tool for stress-testing ideas and overcoming cognitive dissonance.

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.