{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/dd50114d3bd1463286a89db341b9a7f2\" frameborder=\"0\" width=\"2560\" height=\"1920\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1920,"width":2560,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1920,"thumbnail_width":2560,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/dd50114d3bd1463286a89db341b9a7f2-80b6b30d2884731a.gif","duration":365.083,"title":"Improving AI Task Management","description":"Hey Jared, I wanted to share some thoughts on our current AI setup. I've identified a couple of issues, particularly with how the agent recognizes when a task is complete and the limitations of the GPT-40 mini model. I suggest we streamline the process by using a scheduling template and ensuring the agent can handle fewer skills at a time. Please review these suggestions and let me know if they help!"}