  In this paper, we present a novel approach using the Auto GPT system
alongside Design Sprint methodology to facilitate board game creation for
inexperienced users. We introduce the implementation of Auto GPT for generating
diverse board games and the subsequent optimization process through a
customized Design Sprint. A user study is conducted to investigate the
playability and enjoyment of the generated games, revealing both successes and
challenges in employing systems like Auto GPT for board game design. Insights
and future research directions are proposed to overcome identified limitations
and enhance computational-driven game creation.
