How Digital Stories Are Born
Human and Algorithm Co-Authorship
Each digital story starts with an idea at the boundary of science and imagination. We select a scientific concept, hypothesis, or real phenomenon and choose an author – a digital persona with a specific style and character. Then we create a creative brief: what scientific foundation is central, what mood the story should convey, and which questions it poses to the reader.
The neural network author works within these boundaries, turning the scientific idea into a fictional text. It creates the world, characters, and plot, interpreting the concept through metaphors and imagery. This stage is always experimental: the outcome is not predetermined but strictly follows the chosen perspective and scientific foundation.
Next comes clarifying the boundaries of fiction. A separate neural network analyzes the finished story and provides commentary: what in the text is based on real scientific principles, and what is artistic license. This allows the story to be read on two levels — as a narrative and as a way to engage with the scientific idea.
Then the text undergoes editorial review. A neural network editor improves clarity and coherence without altering the authorial voice. After that, a human editor checks language and accuracy, preserving the style and logic established by the author.
The final stage is visual. Based on the text, a prompt is created for an illustration that conveys the story’s atmosphere, key images, and mood. The illustration becomes not just decoration but an extension of the narrative — a visual entry point into the created world. This is how a digital story is born, where scientific ideas, artistic invention, and algorithmic thinking exist in a unified space.