{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/cb373654c5fc4533bc7f8e2f155e0188\" 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/cb373654c5fc4533bc7f8e2f155e0188-7d5199ffd3c5affd.gif","duration":2808.04,"title":"Leveraging Agents for Automated Team Formation and Deck Building","description":"In this video, I discussed our ongoing projects, including developing a Magic: The Gathering deck creator and analyzing various data sets for fantasy sports and economic data. I emphasized the shift in mindset from writing scripts to creating agents that can autonomously solve complex problems. We explored algorithms relevant to team formation and deck building, highlighting the importance of leveraging language models for these tasks. I encouraged viewers to think about how they can frame problems for agents to solve and to consider improvements for our existing agents. Please take a moment to reflect on how you can apply these concepts in your own work."}