Building an AI Voice Agent That Answers Real Phone Calls - part 3

Part 3 of the series advances our voice AI system by bridging the database layer with the actual booking logic required for real-time interactions. In this session, we shift from static storage to dynamic availability management. Highlights include: Database Foundation: An overview of the ER diagrams, focusing on doctors' availability, time-off scheduling, and patient appointment constraints (0:30). Search Performance: Understanding the mechanics of indexing and B-Trees to ensure rapid patient identification and data retrieval (3:31). Booking Constraints: Implementing complex PostgreSQL exclusion logic to prevent conflicting appointments and handle specific scheduling scenarios for doctors and patients (8:27). Availability Logic: Developing the core algorithms to calculate the "next available opening" by filtering working hours, time-off, and existing bookings (14:37). Testing & Verification: Setting up a robust testing suite to validate scheduling logic, including handling edge cases like non-working days and invalid input (23:51). By the end of this video, we have successfully implemented a functional availability engine that allows our AI to intelligently propose open slots to patients, ensuring the system can handle scheduling logic before moving to the next phase. #voiceagents #fastapi #docker #python #aiagents