{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/1392e647c9644a06999ff1e7ae1a9fb3\" 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/1392e647c9644a06999ff1e7ae1a9fb3-bf05c743f864f702.gif","duration":249.092,"title":"Creating AI Agents with Jelly Bean AI 🚀","description":"In this video, I provided a quick demo of our R platform, Jelly Bean AI, which enables businesses to create and deploy AI agents for chat and voice calls. We currently support three languages: English, Bahasa Indonesia, and Hindi, and are focusing on customer support and onboarding use cases. I walked through the workflow of creating an AI agent, including naming, selecting gender, and defining its purpose and traits, as well as how to design the conversation flow. I also demonstrated how to test the agent using a basic web UI. Please let me know if you have any questions or feedback on this demo as we continue to refine our platform."}