SCA Shield is a lightweight monitoring and safety layer designed to maintain stability and quality in human–AI interactions 1. Rather than evaluating correctness of model outputs, the system focuses on interaction dynamics over time, using simple operational metrics such as session budget, cognitive load, interaction momentum, and interaction count. The system operates through two complementary mechanisms: informing the user about the state of interaction, influencing user behavior through explicit feedback or adaptive response modulation. This shifts behavior from outcome maximization to trajectory regulation. The SCA Shield can be deployed directly within the model (prompt-level), through a user interface, or in a hybrid configuration combining both approaches. It supports both explicit (user-visible) and implicit (embedded) modes of operation.
Bartosz Szlifierski (Wed,) studied this question.
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