Kay’s agentic loop continuously monitors behavioral inputs to detect patterns early. It reasons through these insights to determine appropriate interventions, acts by providing timely, compassionate nudges, and learns from outcomes to improve support. All actions occur within user-defined limits and include human-in-the-loop safeguards, ensuring control over data sharing and intervention levels.