{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/6f26d502e6764e41a34ad9f434468a5c\" 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/6f26d502e6764e41a34ad9f434468a5c-1878b70a5c36dac4.gif","duration":190.349,"title":"Telnyx Flow Showcase: AI Conversational Agent","description":"In 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."}