Consistently journaling creates a rich dataset of your thoughts. By uploading these entries to an AI, you can ask it to identify recurring themes, negative patterns, and the hard truths you're not seeing in your own behavior.

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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.

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.

Instead of using AI to generate generic text, leverage it as a partner to enhance your unique voice. A powerful technique is to have AI interview you to create a "story log"—a database of your personal anecdotes and experiences. This provides authentic, non-replicable material for future content.

Most people operate on autopilot, repeating the same thoughts and actions daily, which limits their potential. The key to breaking this automation is awareness. By actively seeking feedback, you gain the necessary "analytics" to see your own patterns, stop being controlled by them, and consciously rewrite your behavior for improvement.

Leverage AI tools for therapeutic journaling by asking them to respond in the style of psychotherapist Carl Rogers. This process generates deep, empathic restatements of your thoughts, simulating a powerful listening session that helps you delayer complex issues and find clarity without human bias.

Feed your personal writings—journals, blog posts, or content—into an AI. Then, ask it to identify unique traits or patterns about you that you might not see in yourself. This leverages AI's pattern recognition for deep self-reflection and uncovering unconscious biases or strengths.

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.

Don't let performance reviews sit in a folder. Upload your official review and peer feedback into a custom GPT to create a personal improvement coach. You can then reference it when working on new projects, asking it to check for your known blind spots and ensure you're actively addressing the feedback.

Instead of viewing AI relationships as a poor substitute for human connection, a better analogy is 'AI-assisted journaling.' This reframes the interaction as a valuable tool for private self-reflection, externalizing thoughts, and processing ideas, much like traditional journaling.