Scheduling Case Study # 05: AI-Powered Booking Assistant

The most technically complex of the five. Covers the conversational AI intake system where users configure their calendar with a type, expertise area, and reference documents, and an LLM then conducts adaptive pre-booking conversations with bookers, generates structured meeting summaries for the host, and qualifies leads before the meeting even starts. Includes the RAG pipeline, guardrails, streaming UI, and tone calibration per calendar type.