StoryDNA Engine
Proposed manuscript analysis for characters, locations, dialogue, scene boundaries, actions, emotional states and recurring elements.
We are developing narrative-aware production intelligence for long-form audiobook creation. Our proposed technology aims to maintain story and production memory across an entire literary work, with the author or producer in control.
We are exploring technology-enabled production methods to help creative teams structure characters, scenes, dialogue and sound environments. Technology enhances the storyteller. It doesn’t replace the storyteller.
Research direction: the StoryDNA, sound recommendation and continuity engines are not implemented in this website MVP.
Proposed manuscript analysis for characters, locations, dialogue, scene boundaries, actions, emotional states and recurring elements.
A persistent project model for characters, environments, relationships, motifs and author-approved production decisions.
Proposed recommendations for ambience and production treatment using scene context, emotion and prior creative decisions.
Designed to recall earlier narrative context and flag potential inconsistencies when characters, locations or motifs recur.
Accept, modify or reject proposed treatments. Approved decisions are intended to become part of the project’s production memory.
Our innovation programme explores adaptive audio, multilingual storytelling, accessible listening, children’s learning and interactive experiences. These capabilities are under development, not available as finished products.