From Wikipedia:
AI Dungeon is a text adventure game which uses artificial intelligence to generate content. The game's first version was made available on Google Colaboratory in May 2019, and its second version was released in December 2019. The AI model was then upgraded in July 2020.
I started reading about AI Dungeon two months ago, and I thought, it would be interesting to use a LLM (large language model, such as GPT) to derive conventional gamestate (such as health points) from arbitrary text. (There are several ways to get a boolean or numeric output from a LLM, the simplest of which is to prompt it to answer yes or no.) I found a number of existing examples, which can be classified by what kind of gamestate and interface they have.
I classify data into three kinds: conventional state, textual state, and display data. I define textual state as textual data that interacts with game mechanics via LLM