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Morph Reflexes offers fast, cheap semantic signals from agent traces using multi-head classifiers on a shared backbone, enabling scalable monitoring of production agents.
Presents SemantiClean, a modular framework for extracting structured semantic signals from e-commerce session data to drive pluggable inference targets (purchase intent, customer segmentation, product affinity) while prioritizing auditability and structural transparency over pure accuracy.