Intra: Design notes on an LLM-driven text adventure (ianbicking.org)

Intra, a text-based game designed during a hackathon, harnesses the power of large language models (LLMs) to create an engaging interactive fiction experience. The project emphasizes traditional text adventure elements while exploring innovative game design, such as real states, social dynamics, and open-ended consequences. Key technical insights include effective prompting techniques for ChatGPT, like refining ideas through iterative feedback and exploring narrative constraints, which are crucial for creating a structured yet flexible gameplay environment. This project is significant for the AI/ML community as it demonstrates the potential for LLMs to redefine interactive storytelling, moving beyond simple storytelling towards games with true gameplay mechanics. By establishing a "ground truth" in the game’s design, where player actions and environmental states are tracked independently of the narrative, Intra aims to create a more immersive and meaningful player experience. As the landscape of LLM-driven games evolves, Intra serves as a pioneering example of how AI can elevate game design and underscore the importance of intentional authoring in the creative process.