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arXiv · 2601.18785

Design Techniques for LLM-Powered Interactive Storytelling: A Case Study of the Dramamancer System

Tiffany Wang·Yuqian Sun·Yi Wang·Melissa Roemmele·John Joon Young Chung·Max Kreminski
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Abstract

The rise of Large Language Models (LLMs) has enabled a new paradigm for bridging authorial intent and player agency in interactive narrative. We consider this paradigm through the example of Dramamancer, a system that uses an LLM to transform author-created story schemas into player-driven playthroughs. This extended abstract outlines some design techniques and evaluation considerations associated with this system.

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Tiffany Wang, Yuqian Sun, Yi Wang, Melissa Roemmele, John Joon Young Chung, Max Kreminski. 2026-01-26. Design Techniques for LLM-Powered Interactive Storytelling: A Case Study of the Dramamancer System. https://arxiv.org/abs/2601.18785

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