video1.0<iframe src="https://www.loom.com/embed/1392e647c9644a06999ff1e7ae1a9fb3" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/1392e647c9644a06999ff1e7ae1a9fb3-bf05c743f864f702.gif249.092In 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.