{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/e545ffb7b80b4112a126aa28df97e80e\" frameborder=\"0\" width=\"1108\" height=\"831\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":831,"width":1108,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":831,"thumbnail_width":1108,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/e545ffb7b80b4112a126aa28df97e80e-4d3f18d43c67a2b6.gif","duration":89.232,"title":"Voice Agent Workflow With Metamuse and Notion","description":"This Loom introduces an AI workflow that uses a voice agent alongside a Metamuse agent to capture transcripts via Whisper and store them in Notion. The captured transcription is then picked up by an agent in Cloud Code called Dahelm, which runs bash commands based on the transcription. The author says the workflow is exciting and intends to show how to build it, but first asks whether viewers are interested. They also mention deploying an amazing website yesterday, which they plan to use to create a roadmap."}