Creating a digital poet

• URL: http://arxiv.org/abs/2602.16578v1
• Date: Wed, 18 Feb 2026 16:25:10 GMT
• Title: Creating a digital poet
• Authors: Vered Tohar, Tsahi Hayat, Amir Leshem,
• Abstract summary: We report a seven-month poetry workshop in which a large language model was shaped into a digital poet.<n>The model developed a distinctive style and a coherent corpus, supported by quantitative and qualitative analyses.<n>After the workshop, a commercial publisher released a poetry collection authored by the model.
• Score: 8.593632029412502
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Can a machine write good poetry? Any positive answer raises fundamental questions about the nature and value of art. We report a seven-month poetry workshop in which a large language model was shaped into a digital poet through iterative in-context expert feedback, without retraining. Across sessions, the model developed a distinctive style and a coherent corpus, supported by quantitative and qualitative analyses, and it produced a pen name and author image. In a blinded authorship test with 50 humanities students and graduates (three AI poems and three poems by well-known poets each), judgments were at chance: human poems were labeled human 54% of the time and AI poems 52%, with 95% confidence intervals including 50%. After the workshop, a commercial publisher released a poetry collection authored by the model. These results show that workshop-style prompting can support long-horizon creative shaping and renew debates on creativity and authorship.

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