This is a development note. The project and test data are real; AI helped me clean up the prose. Cross-match memory and player-authored rules are still experimental, and the match below is a single example rather than evidence of a stable model personality.
I've been working on a small game called Kai!. It is Liar's Dice with a language model sitting across the table. Each player sees only their own dice, then takes turns claiming that the table contains at least a certain number of one face. The next player raises the bid or calls the bluff.
The rules are simple. Most of the work ended up outside the rules: deciding what the model should remember, whether the player can exploit those memories, and what happens after the base game becomes familiar.
I created the repository on August 7. At first I only wanted to see whether an LLM could play a complete game of Liar's Dice. A few days later, most of my time was going into deleting features and changing interfaces. These are the parts that turned out to be interesting.
One match log that caught my attention
