{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/03949c1aea5d42e5b111a560a797fdaf\" frameborder=\"0\" width=\"1096\" height=\"822\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":822,"width":1096,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":822,"thumbnail_width":1096,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/03949c1aea5d42e5b111a560a797fdaf-225ae8869009af00.gif","duration":311.169,"title":"Visual Studio Code - llm_patient.py - Pretty-GoodAI-Chatbot - Visual Studio Code - 26 February 2026","description":"In this video, I walk you through how I built an automated patient caller using FastAPI and Twilio for the PrettyGoodAI chatbot assessment. I demonstrate the application setup, including making test calls and handling conversation flow to avoid confusion between my bot and the demo bot. I also explain how I implemented a prompt script for OpenAI to facilitate more natural conversations based on different scenarios. Additionally, I address call status management to prevent looping calls. Please take a look at the implementation details and let me know if you have any questions!"}