Music generation stops chasing generic appeal: distilling a listening history into an aesthetic profile makes the same track fit the listener
PAG-Agent distills a listener's favorite songs and contextual profile into an explicit Personal Aesthetic Profile that a planning model turns into generation instructions, raising target-user consistency by roughly 9 to 19 percent over direct conditioning on Personal-100.