{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/27e7b9e23fae4e139e57339d26b2e555\" frameborder=\"0\" width=\"3456\" height=\"2592\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":2592,"width":3456,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":2592,"thumbnail_width":3456,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/27e7b9e23fae4e139e57339d26b2e555-706bcf81aca57af5.gif","duration":595.266667,"title":"Convoso Agentic AI Demo","description":"This Loom shows how to build and deploy Convoso Agente AI voice agents for outbound contact centers using Auto Workflow and fleets. The presenter demonstrates an AI agent call in a Convoso dialer campaign, including pre-qualifying a lead before handing off to humans, and shows the recorded conversation tracking on the agent monitor. It then walks through creating an agent by uploading 1 to 200 call recordings to generate a call script, configuring role, compliance rules, voice, and an LLM model optimized for low latency with 600 millisecond latency. Finally, it covers publishing the agent and creating a fleet tied to an inbound campaign, assigning five agents, and monitoring call status."}