This document discusses streaming music in public spaces using principles of intelligent agents (IA). It proposes using metadata like location data, listener tags, and social sharing to curate personalized music playlists for different public settings like airports. Well-structured metadata about songs, genres, moods, reviews and more could be used to select context-appropriate music that evolves based on listener engagement and feedback. The goal is to create a more social and immersive listening experience for people in public spaces.