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UI/UX · AI · Music · Case Study

ABI

Type
Mobile App — iOS
Role
UX Research · UI Design
Technology
AI · Mood Detection
Target
Music listeners · Age 16–35

THE CONCEPT

Music is emotional. The way we find it shouldn't be a chore. Streaming platforms hand you a search bar and an algorithm — neither of which knows how you feel right now. ABI is an AI-powered music app that reads the user's mood and curates a soundtrack to match. No search. No scrolling. Just feel.

Problem
Finding music that matches your current mood requires active effort — browsing, searching, skipping. The experience fights the feeling instead of serving it.
Solution
AI that scans your mood through input signals and instantly surfaces music that fits — removing the interface so the music can be the experience.
Success
Zero-friction music discovery. Users open the app, express a feeling, and the right song is already playing before they think twice.

THE APP

The interface disappears so the music can take over — mood input, AI curation, and playback in one continuous flow.

ABI — mood detection and onboarding screens ABI — AI curation and playback screens

WHAT IT BECAME

ABI proved that the best music interface is no interface. By letting AI handle discovery, the app turns a passive emotional state into an active listening experience — without any of the friction that kills the mood. The design challenged the assumption that users want control over their music. Sometimes they just want to be heard.

AI
Mood engine
0
Searches required
Moods supported