  dAIrector is an automated director which collaborates with humans
storytellers for live improvisational performances and writing assistance.
dAIrector can be used to create short narrative arcs through contextual plot
generation. In this work, we present the system architecture, a quantitative
evaluation of design choices, and a case-study usage of the system which
provides qualitative feedback from a professional improvisational performer. We
present relevant metrics for the understudied domain of human-machine creative
generation, specifically long-form narrative creation. We include, alongside
publication, open-source code so that others may test, evaluate, and run the
dAIrector.
