Framework Proposes Four-Layer System to Build a Personalized AI Agent Modeled on You

A new practical framework published on DEV Community expands on AI researcher Andrej Karpathy's concept of a 'second self' — an AI trained to replicate a person's thinking, decisions, and voice. While Karpathy experimented with a personal wiki to capture declared knowledge and values, the framework argues that tacit knowledge — instincts, judgment calls, and unspoken expertise — remains largely unencoded. To address this gap, the proposed system organizes personal AI training into four layers: identity, reasoning, skills, and intuition, each sourced from different data types. Techniques such as think-aloud recordings, behavioral logging, and chain-of-thought distillation are combined into a structured week-by-week build plan. The goal is an AI agent capable of representing a person's reasoning and defaults even in their absence.