In this project, the Proof of Concept (POC) of an LLM-based application was designed aiming at accelerating the adoption of conversational AI agents. More and more frequently in this period, companies find themselves wanting to develop conversational AI-based applications, also due to the current boom of LLMs-based technologies, and don’t have the capabilities to develop it from scratch. This POC aims at solving this problem with a highly and easily customizable platform for each use case companies want to cover. Taking inspiration from the paradigms of MLOps and LLMOps and leveraging the Italian open source framework Cheshire Cat AI a conversational AI agent application was developed with a focus on prompt toxicity detection and context precision evaluation.