Sure thing. Start with a simple neural signal capture – a cheap EEG headset that can pick up brainwaves while the writer sits at their desk. Feed that into a rhythm‑detecting algorithm that tracks bursts of activity and the silences between them, sort of like a metronome that learns the writer’s own tempo. Once you’ve got the beat, feed the current text into a language model that’s been fine‑tuned on the writer’s past work. Let the model suggest the next line, but keep the suggestions in a “preview” mode so the writer can tweak or reject them. The balance comes from letting the machine provide a skeleton and letting the human add the flourishes – the chaos. Test it on a handful of pieces, log what feels natural and what feels forced, then iterate. And remember, every failed prototype is just another data point that moves the whole system closer to that living story feel.