video1.0<iframe src="https://www.loom.com/embed/6f26d502e6764e41a34ad9f434468a5c" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/6f26d502e6764e41a34ad9f434468a5c-1878b70a5c36dac4.gif190.349In this video, I showcase a modified example provided by DelnitzFlow to demonstrate the capabilities of a conversational agent workflow. The workflow involves handling inbound calls, training a language model to act as a legal assistant, extracting essential information from conversations, and interacting with APIs. I test the workflow and share the results, highlighting the extracted variables and the potential applications of the tool. Your feedback on this demonstration and thoughts on next steps are appreciated.