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SpecFirst proposes making behavioral specification elicitation a first-class step in agent-based program synthesis, separating it from exploration and coding. Evaluated on 200 program instances, it significantly improves test pass rates and binary exploration coverage across multiple models.
This paper introduces representational accuracy and a Behavioral Specification as an interpretive layer for AI personalization, showing that it improves representational accuracy at about 25× less context cost compared to raw data retrieval, especially for interpretation-required questions.