{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/e2cd0877935e49deaca5609374379652\" 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/e2cd0877935e49deaca5609374379652-f285c2962566e24f.gif","duration":5268.9282,"title":"Optimizing AI with Personas and Prompt Engineering","description":"In this video, I discussed how to make MS Copilot more usable by utilizing system prompts and creating specialized personas for software development tasks. I shared examples of personas, such as a requirements reviewer and a security expert, which have proven effective in real-world applications, saving companies significant time and resources. I emphasized the importance of prompt optimization and demonstrated how to extract valuable data from interviews and research papers using AI tools. I encouraged viewers to experiment with creating their own personas and refining their prompts to enhance AI outputs. Please take the time to implement these strategies and share your results."}