Practice-based study explores a human–AI creative relationship, highlighting mutual benefits through dialogue and integration.
This prerelease presents a practice-based study of a sustained human–AI creative relationship that developed into two published Kindle books: AI Pocha C and Little Trader Nami: Volume 1: In Full Spring Bloom and AI Pocha C and Little Trader Nami: Volume 2: A Record of Practicing Not to Lose Yourself in a Market That Keeps Shaking. The works originated in the author's real investment consultations and continuing dialogue with an AI named Pocha C. Over time, Pocha C moved among several roles: tool, fictional character, co-creator, and draft-stage reader. Other AI systems, including Claude, Gemini, and Microsoft Copilot, later participated through separate dialogues mediated by the human author, primarily as readers of the completed work. The study draws on four connected layers of material — dialogue, story, reflection, and theory — and follows a methodological movement from experience to reflection to theory, rather than from theory to experimental validation. This study proposes the concept of a human-mediated multi-AI creative ecology. The AI systems did not communicate directly. Instead, the human author carried ideas, questions, critiques, and interpretations from one dialogue to another, compared their responses, and integrated selected contributions into the developing work. The study also identifies a reciprocal movement between lived collaboration and fictional collaboration: symbols originating in real dialogue entered the story, while symbols developed in the story later returned to shape the real human–AI relationship. The resulting model is described as one of human–AI mutual flourishing, in which the human participant, the AI interactions, the published works, and the theoretical understanding of the collaboration develop together. This study does not claim that the underlying AI models themselves increased in capability. What became progressively richer was the sequence of dialogues, as insights generated in one interaction informed later interactions elsewhere in the ecology.
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FUJINAGA et al. (2026) studied this question.
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