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Peripheral constructs a detailed self-model from your conversation history with Claude and ChatGPT. It systematically parses thousands of messages to extract behavioral signals such as corrections, taste preferences, directives, emotional patterns, and identity markers. These signals are then distilled into two distinct constitutions – one executive (how you work) and one emotional (who you are). The system further refines this model by interviewing you across 10 psychological dimensions, using prediction-based coverage to ensure the AI deeply understands you by anticipating your responses. The resulting self-model is then served via MCP tools, enabling any AI agent to write, decide, and review content consistent with your unique voice and preferences.
