A person describes using large language models to analyze personal lifelogging data—journals, financial records, sleep data, and notes—to generate weekly AI-powered summaries that provide emotional and cognitive insights. The practice has proven emotionally impactful and cognitively useful, though it raises questions about human-AI relationships and the limits of what machines can understand about meaningful human experiences.