{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/973658b180c94e08aacf1d4e554c492c\" frameborder=\"0\" width=\"1508\" height=\"1131\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1131,"width":1508,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1131,"thumbnail_width":1508,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/973658b180c94e08aacf1d4e554c492c-77a35680d9c63e8c.gif","duration":210.788,"title":"Improving Document Coverage in AI Analysis","description":"In this video, I address a common question about why the AI only references a few documents in my report analysis. I explain that the AI prioritizes content for efficiency, ranking documents by relevance to the request. I demonstrate a three-step approach to improve document coverage, starting with broad requests and then providing targeted instructions for specific documents. I also show how to include important files, like the employee performance review, in the analysis. Viewers are encouraged to try these methods to enhance their credibility assessments."}