How to Build an AI Scheduling Assistant with Calendly (quickchat.ai)

A new tutorial guides users through the creation of an AI scheduling assistant using Calendly, demonstrating a real-world application where the assistant—named Polaris—handles multiple tasks in a single conversation. Polaris not only answers product and pricing inquiries but also offers available times for demo meetings, confirms bookings, and manages cancellations. This guide emphasizes the importance of trust and reliability in scheduling tasks, focusing particularly on the agent's ability to cancel meetings based on previously saved conversation data. The significance of this project for the AI/ML community lies in its practical implementation of the Model Context Protocol (MCP), allowing seamless interaction with Calendly's API without requiring extensive coding knowledge. Key technical elements include the use of "Save to memory" for retaining essential data throughout the interaction and a well-defined tool list to control the agent’s permissions selectively. This structured approach enhances the user experience, ensuring the assistant operates within clearly established boundaries while maintaining functionality in scheduling and managing appointments effectively.