The author argues that Large Language Models (LLMs) should function as creative authors within defined boundaries, rather than mere text formatters. In the Cogweald application, code enforces constraints like schema and permissions, while the LLM makes creative choices regarding narrative progression and character actions. This approach allows for unpredictable creative decisions to be reliably persisted within a structured framework. AI
IMPACT Suggests a framework for building more dynamic and creative AI applications by defining clear boundaries for LLM autonomy.
RANK_REASON Discusses an application's architecture for using LLMs as creative authors within defined constraints.
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