Chippychippy
Media & Entertainment

Validate your music discovery app before writing code

Build a working prototype, collect real user interactions, run evals to measure quality, and hand off production-ready specs to engineering.

Think: Spotify, Apple Music, Pandora

ChatGPT
Using Soundwave
U

Show me today's top music picks

Here's a curated playlist of today's top tracks:

Soundwave
Today's Top Vibes
5 tracks
Neon Dreams
Neon Dreams
Luna Wave
Neon Dreams
Luna Wave
3:24
Golden Hour
Sunset Collective
4:12
Deep Blue
Ocean Mind
3:58
Raw Energy
Blaze
2:45
Forest Walk
Ambient Soul
5:10

See what's possible

Real prompts, real widgets, real interactions

Show me today's top tracks

Trending Today
See all
Neon Dreams
Neon Dreams
Luna Wave
3:42
2.4M plays
Golden Hour
Golden Hour
Sunset Collective
4:18
1.8M plays
Midnight City
Midnight City
Echo Park
3:56
3.1M plays

Play Neon Dreams

PLAYING FROM PLAYLISTWorkout Mix
Album
Neon Dreams
Luna Wave
1:183:42

Add to my workout playlist

Added to Playlist
Workout Mix
12 tracks · 48 min
RECENTLY ADDED
Neon Dreams
Luna Wave
Golden Hour
Sunset Collective
Midnight City
Echo Park

From prototype to production

Chippy gives you a complete workflow: build, test with real users, measure quality, and hand off to engineering.

01

Build

Create playlist builders, music discovery flows, and library management—all with interactive widgets that work in ChatGPT.

02

Collect

Share with stakeholders and real users. Every interaction is logged: what they asked for, what they selected, how they navigated.

03

Eval

Run evals to measure recommendation quality, response accuracy, and user satisfaction. Score each conversation automatically.

04

Handoff

Export MCP schemas, conversation logs, and eval results. Engineering gets everything they need to build the real thing.

What you can build

Create fully interactive prototypes that work inside ChatGPT. Real widgets, real data, real user testing.

Natural language playlist creation
Mood and activity-based recommendations
Interactive playback controls in-chat
Library management through conversation
Cross-platform listening history sync

Conversation Logs

Every user interaction captured and searchable

Usage Analytics

Track patterns, drop-offs, and user behavior

Quality Scores

Run evals to measure and improve accuracy

Export Everything

MCP schemas, specs, and data for engineering

Ready to validate your idea?

Build a working prototype, collect real data, and prove it works—before engineering writes a line of code.