{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/e6482597b60d4ae98d03cfc6afda682a\" frameborder=\"0\" width=\"1784\" height=\"1338\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1338,"width":1784,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1338,"thumbnail_width":1784,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/e6482597b60d4ae98d03cfc6afda682a-f9de862421a3a899.gif","duration":228.916,"title":"Mood Canvas, Private On Device Mood Experiments","description":"This Loom introduces Mood Canvas, a Long Horizon Agent hackathon project that runs private well-being experiments on a user’s device. Sloba explains the agent creates weekly mood and journaling inputs, compares an experiment week to a baseline to correct rules and habits, and then generates daily suggestions to improve mood. The app is designed to keep data on-device with read-only Liquid local processing, limited on-device memory, and only small signals sent off-device. In the demo, a user types and speaks a mood, chooses a painting style like Van Gogh, and the system transcribes the voice and generates a shareable painted canvas with an optional date."}