Submission by Ammon

Mad Lib Music turns pure chaos into fully produced songs. You answer a few ridiculous questions out loud — "dancing raccoon," "spaceship," "pickle" — and thirty seconds later you have a sea shanty about your roommate's ex, or a Broadway number about taxes, or a trap song about pickles. I built it during ElevenHacks to answer a simple question: what happens when you take the randomness of Mad Libs and force it through a state-of-the-art music generation pipeline? The result is a complete, genre-specific track generated end to end from whatever absurdity you fed it, with the classic Mad Libs mechanic intact except the output is a real song you actually want to send to the group chat. Three ElevenLabs features do the heavy lifting. A voice agent collects the inputs conversationally, so it feels like a game show (users can use a form if preferred). Those answers get reshaped into a structured lyrical prompt that emphasizes the spirit and mechanics of the Mad Libs game, then the music API generates the track and returns timestamped lyrics, which drive a lightweight web frontend for perfectly synced playback and shareable outputs. The whole pipeline — conversational input, structured prompt, genre-conditioned generation, synchronized output — was built in Zed. Most AI music tools start with intention. Mad Lib Music starts with chaos, and that constraint is exactly what makes every output surprising, personal, and coherent enough to be genuinely funny.