{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/f9814fb1708c43b58f5c9937cd85dd6c\" frameborder=\"0\" width=\"1664\" height=\"1248\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1248,"width":1664,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1248,"thumbnail_width":1664,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/f9814fb1708c43b58f5c9937cd85dd6c-a80d58f62ad020c6.gif","duration":173.71,"title":"Reflections on Building AI Applications","description":"In this video, I reflect on the mistakes I made while building AI applications for ArcGIS, Gemini, and Google Cloud. I discuss the importance of rich logging for prompts and model interactions, the balance between cost management and delivering value first, and the significance of defining and tracking success metrics. I emphasize the need to focus on building the product first, then optimizing for cost and efficiency. No specific action is requested from the viewers."}