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By giving an AI access to your email archive, you can perform a large-scale retrospective analysis of past decisions. This allows you to test long-held personal stories and assumptions—like your angel investing "batting average"—against hard data, revealing truths that memory often distorts.
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.
The most advanced use of an AI-powered second brain is deep self-reflection. Custom commands can analyze your note history to map how a concept has evolved in your thinking or find contradictions in your beliefs, acting as an intellectual sparring partner for personal growth.
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.
While current projects and roles are important, a log of past decisions and their rationale is uniquely valuable. It teaches an AI agent *how* you think and weigh trade-offs, enabling it to provide more aligned recommendations for future choices, moving it from an information retriever to a strategic partner.
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.
Brian Armstrong uses an AI connected to all company data (Slack, G-Docs) as a C-suite coach. He asks it questions like "What should I be aware of?" or "What did I change my mind on most?" to surface hidden issues and get objective feedback, treating the AI as a mentor.
Leverage a large context window AI to process years of your personal data (notes, emails, decision docs). Ask it to identify recurring patterns in your choices, biases, and blind spots. The output is a one-page "operating manual" for yourself, highlighting flaws you are too close to see.
A personal AI can function as an external memory by ingesting years of digital communications like emails, DMs, and call transcripts. This allows for powerful, context-aware search and retrieval, even for hazy memories, creating a one-gigabyte searchable database of your life.
By digitizing its 94-year library of proprietary research, Capital Group enables its investors to use AI for behavioral self-analysis. An investor can query the system to identify what mistakes they personally made in past market cycles with similar conditions, helping them avoid repeating errors.