video1.0<iframe src="https://www.loom.com/embed/8566a0d4d3074f0daedfb4175169e786" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/8566a0d4d3074f0daedfb4175169e786-528ed04669eb42b0.gif172.109In this video, I demonstrate a natural language to SQL agent I built using Python and the Entropy Cloud API. I show how you can ask business questions in plain English, and the API generates SQL queries to retrieve data from a sales database. I provide examples such as identifying the top five products by total revenue and analyzing customer segments by revenue. I also explore the percentage of orders that were cancelled. I encourage you to try asking your own questions to see the results.