For centuries, the archetype of the teacher has loomed large in human culture—a figure standing at the front of the classroom, imparting wisdom to students. But in the final analysis, I would argue that the most powerful and enduring lessons are only occasionally taught by others. Instead, they are self-discovered, arising from a dynamic interplay of experience, reflection, and curiosity. In this light, the role of artificial intelligence—particularly large language models (LLMs)—takes on new significance. These AI-driven systems are not merely repositories of knowledge; they are partners in our most human endeavor: teaching ourselves.

Life itself has always been humanity’s greatest teacher. From learning to walk as toddlers to navigating the complexities of adult relationships, our most pivotal lessons emerge experientially. This process is rarely linear. We try, fail, adapt, and grow in a cycle that formal education can only approximate. Wisdom—the synthesis of knowledge, context, and experience—is deeply personal, cultivated through lived moments rather than prescribed instruction.

Yet, self-directed learning requires more than just experience. It demands tools to help us reflect, organize, and extend what we........

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