{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/cb2373f7d2c24fd08513e559aeac39d6\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/cb2373f7d2c24fd08513e559aeac39d6-ecbaad26c9afc3a4.gif","duration":912.98,"title":"Walkthrough of AI-PD Design Challenge - FlytBase - Dhiren Valecha","description":"This Loom explains a Flight Base design challenge focused on how operators make decisions during live drone incident response. The author argues that the operator is not a pilot but a decision maker: in phase 1 the operator is the judge while AI accesses the threat before they see it, in phase 2 they become the commander with a map-first interface and confirm or coverage actions, and in phase 3 they become the archivist as evidence is captured automatically and reviewed afterward. The incident scenario runs for 4 minutes and 12 seconds with one operator, and the UI uses AI to generate situation guidance and a team brief. The Loom also describes evidence packaging for three audiences, including a chain of custody certificate for police, and notes the design as an add-on to an existing live response library."}