Hashisstant my love and remembered dog assistant

Hashisstant is an intelligent personal assistant, accessible via WhatsApp, designed to perform everyday and work-related tasks through natural language instructions. The system interprets the user’s intentions using LLM models and translates them into concrete actions such as scheduling appointments, raising tickets, managing reminders, or consulting information.
Interaction with the assistant connects to a tool server using the Model Context Protocol (MCP), which allows for modular and scalable orchestration and execution of functionalities.
The talk will feature a live demonstration lasting 15 to 20 minutes, showcasing:

Real-world use case
Complete interaction flow from WhatsApp.
Intent processing with LLM.
Task execution via MCP.
Automated response and action traceability.
Architecture diagrams, data flow (if available), prompt strategies, and code snippets will be included so that attendees can understand the project.
What not to do and best practices for building the solution.