{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/e1628942c55d49bebc707e73e3165bc6\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/e1628942c55d49bebc707e73e3165bc6-dff3659417d4411f.gif","duration":109.344,"title":"NASA AI Mission Control in Three Steps","description":"In this Loom, I explain how NASA uses AI native mission control to fuse multi modal data like radio traffic, drone footage, intelligence reports, and asset locations through voice and natural language. I then layer real time intelligence on top with smart agent recommendations for either human in the loop or autopilot. From one place, you can launch and control a drone or a fleet, task and coordinate them, and monitor results. I also show a quick demo where I click approve to launch and view real time updates."}