Personalized Content Curation

Vertical AI agents act as virtual content companions, analyzing consumption patterns across platforms to deliver tailored recommendations.

i. Data Aggregation: Agents integrate APIs from Spotify, YouTube Music, Netflix, and other platforms to build comprehensive profiles. Example: A fan who listens to indie rock might receive suggestions for similar artists or exclusive acoustic sessions.

ii. Behavioural Insights: Machine learning models identify preferences based on time-of-day usage, genre affinity, and social interactions. Use Case: If a user frequently watches sci-fi movies late at night, the agent suggests upcoming releases or themed playlists.

iii. Cross-Platform Integration: Unlike siloed recommendation systems, DINE provides holistic curation spanning music, film, live events, and more. Benefit: Fans no longer need to navigate multiple apps; everything is consolidated into one seamless experience.