Dialogue systems are being applied to many more tasks, but the challenge of keeping a user engaged with an agent and understanding how the agent’s nuances can be tailored to enhance specific conversational goals remains a very real research challenge. Moreover, the style of generated text can change an agent’s perceived personality and impact likeability and engagement. Recent advancements in Large Language Models (LLMs) have significantly improved our ability to style content. Furthermore, adaptivity in conversational systems has been shown to enhance interactions. This project aims to research how LLMs can improve user-agent interactions by simulating agent personalities.