{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/440d12a8b915484e88d8fd57b2860dc4\" frameborder=\"0\" width=\"1232\" height=\"924\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":924,"width":1232,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":924,"thumbnail_width":1232,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/440d12a8b915484e88d8fd57b2860dc4-dfade9b72c45f052.gif","duration":321.843,"title":"Automated Meeting Notes to Notion Using AI","description":"This Loom explains a Cloud Automation project that uses AI to process daily client meetings and automatically populate Notion with decisions and tasks. It describes a workflow on a Mac Mini where one agent checks CRISP meetings, another processes Google Meet recordings, and a queue-based system tracks status as meetings are marked done after processing. A Chronoscape Pipeline plugin processes transcripts and creates entries in a Notion meeting log, including attendees and confidence score, and distinguishes AI-created tasks and decisions from manually created ones. It then runs a task agent to generate task items from discussed transcript content and a DCD agent to create decision-making tasks, such as assigning CEO follow-up to handle a Zapier subscription for the team."}