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A microagent was used in an accounting system to extract payment details from free text, emphasizing that setting clear boundaries between components is more critical than the choice of AI model.
This paper proposes Bypass Observation, a non-intrusive architecture for extracting intermediate semantic information from large language models to improve interpretability and safety auditing.