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This study aims to investigate the stages involved in document creation during the architecture and design project phases, through the integration of the Briefing with the assistance of ChatGPT-3.5, with the purpose of assessing the relevance, correspondence, and coherence of data generated by Artificial Intelligence (AI). The research involved the use of two distinct prompts: one featuring a more generic nature, and the other defined by a higher level of detail. It was found that the generic prompt yielded innovative options – not foreseen in the reference sources –, however with lower correspondence. The detailed request was limited to the predefined structure, resulting in greater correspondence and partial consistency with the parameters established in the reference literature. It was possible to conclude that, while AI automates the briefing stages, the input and critical analysis of the generated text require substantial subject knowledge for consistent results.
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Conceição et al. (2024) studied this question.
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