This paper assesses the potential for large language models (LLMs) to serve as assistive tools in the creative writing process, by means of a single, in-depth case study. In the course of the study, we develop interactive and multi-voice prompting strategies that interleave background descriptions (scene setting, plot elements), instructions that guide composition, samples of text in the target style, and critical discussion of the given samples. We qualitatively evaluate the results from a literary critical perspective, as well as from the standpoint of computational creativity (a sub-field of artificial intelligence). Our findings lend support to the view that the sophistication of the results that can be achieved with an LLM mirrors the sophistication of the prompting.

It could be the answer to one of life's most pressing problems. Two young inventors have created a £699 ($925) robotic ironing machine to make short work of crumpled shirts, blouses, trousers and even underwear. The device, named'Effie', can dry and iron 12 separate pieces of clothing at once, which its inventors claim cuts ironing time by 95 per cent. To iron a shirt, you first hang it up in the machine's cabinet on adjustable hangers. The doors close, and it then an internal steam iron presses the shirt – taking out any creases.