This paper explores automated analysis and generation of Czech poetry. We review existing tools, datasets, and methodologies while considering the unique characteristics of the Czech language and its poetic tradition. Our approach builds upon available resources wherever possible, yet requires the development of additional components to address existing gaps. We present and evaluate preliminary experiments, highlighting key challenges and potential directions for future research.