video1.0<iframe src="https://www.loom.com/embed/440d12a8b915484e88d8fd57b2860dc4" frameborder="0" width="1232" height="924" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9241232Loomhttps://www.loom.com9241232https://cdn.loom.com/sessions/thumbnails/440d12a8b915484e88d8fd57b2860dc4-dfade9b72c45f052.gif321.843This 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.