Most studios put a generative story tool on a pitch deck. We're actually building one — an engine that turns a single prompt into a comic's worth of story, characters, voices and scenes.
Indie comic creators have the ideas but rarely the time, the writing team, or the budget to develop a full cast, a consistent world, and a branching plot on their own. Generic chatbots forget who a character is three prompts later, and they have no sense of a story's arc. The hard part isn't generating text — it's keeping a world coherent across scenes, characters and choices.
A prompt fans out through a set of coordinated LLM agents that draft the premise, a cast of characters with distinct personalities, scene beats and dialogue — each step grounded in the choices made before it so the world stays internally consistent.
A RAG layer keeps every character, location and plot fact in a retrievable store, so generations pull from an established canon instead of inventing contradictions. The world remembers itself as it grows.
Each character gets a voice, so dialogue can be spoken aloud rather than just read. It turns a static script into something closer to a table read.
Readers and creators can steer the plot at decision points, and the engine continues each branch in character and in canon — a choose-your-path mode built on the same grounded memory rather than a scripted tree.
The engine is in active development and already does the thing it set out to do — take a one-line idea and hand a creator back a populated world with characters, voice and a branching plot they can shape. It's the AI product we point to when someone asks what generative tooling looks like when it's built to hold together, not to demo well.