Architectural decision-making often requires navigating a wide array of disparate evidence sources, from heuristic lists to empirical studies, to anticipate how choices will impact the exhibition of future ilities. This paper a proof-of-concept utilizing Large Language Models (LLMs) as a CoPilot to assist engineers in synthesizing architectural evidence efficiently.
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