Book Agent

Feature

1. 1.Key Achievement: Addressed the high competition for popular restaurant reservations by developing a fully automated booking engine. Replaced inefficient manual booking with scheduled monitoring, instantly triggering requests the moment seats become available, significantly increasing the reservation success rate.
2. 2.Developed a Time-Driven Reservation Scheduler: Designed a system allowing users to submit booking details in advance. Utilized server-side Cron-based jobs to dynamically fetch daily tasks and precisely schedule execution times, automatically triggering booking requests the exact moment reservations open to maximize success rates.
3. 3.Built a Conversational Recommendation Engine: Engineered a chatbot flow that combines user-defined filters with real-time geolocation. Implemented a robust multi-source data strategy (prioritizing the internal database with a Google Places API fallback) to guarantee a stable and continuous user experience, even during data shortages or third-party API outages.
4. 4.Streamlined Operational Monitoring: Constructed a webhook-centric notification pipeline that pushes database state changes directly to a custom Discord Bot via Database Webhooks. This enabled rapid anomaly detection and system behavior verification, significantly boosting debugging efficiency and operational observability.
5. 5.Ensured High-Reliability Task Execution: Architected a sophisticated execution mechanism for time-sensitive tasks, integrating ChromeDP for browser automation with HTTP header self-healing capabilities. Combined with robust retry and caching strategies, this ensured highly stable and ultra-low latency execution during high-traffic booking windows.