Persona Explainer
Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote
Persona Explainer turns a learning question into a personalized lesson and a short, narrated educational video—using the learner’s interests and background to explain unfamiliar concepts through familiar examples. The same explanation does not work for everyone. A child who loves soccer and an engineering student may ask the same question about gravity, but need different vocabulary, examples, and levels of detail. Users select a learner profile or create one from a short description, then ask a question. The app generates a structured lesson, a worked example connected to the learner’s interests, and an approximately 30-second infographic video with narration and synchronized captions. The video can be played in the app or downloaded, and its scene-by-scene script is available for inspection. The app also reviews its generated content: Muse Wonder checks the finished video against the script, while Muse Voice Transcribe checks the spoken narration. These checks surface potential problems for review; they do not guarantee factual correctness. The prototype uses selected or user-created personas. Our longer-term vision is to make personalized explanations accessible wherever people already learn and discover content, including potential integrations using authorized, consent-based profile information.