Darrin Hanna says: computational tools are beginning to engage with the deeply personal, imaginative and affective dimensions of authorship. Machines now support authors by generating ideas, structuring plots, building characters and refining language use. However, AI’s contributions to creative writing are derivative, powered by patterns not by lived experience. Probing the territory between authorship and assistance, we encounter ideas about originality and utility, about the speed of doing something and the depth of meaning in the thing or things we do. Here too we find questions about cognition, memory and emotion. While machines might simulate fluency, they do not feel or remember or truly understand. Positively however, AI, by lowering the barriers to doing creative writing, might encourage more people to write. Computational systems can become collaborators, as we adapt to them and adapt them to our needs—enhancing human creativity by unlocking time and offering structure and showing possibilities. The comparison most relevant to the relationship of AI to creative writing might be that of manmade furniture versus handcrafted furniture, highlighting the distinction between mass efficiency and bespoke artistry.