PRECEPT: Planning Resilience via Experience, Context Engineering & Probing Trajectories A Unified Framework for Test-Time Adaptation with Compositional Rule Learning and Pareto-Guided Prompt Evolution

Researchers introduce PRECEPT, a new framework for AI language model agents that improves knowledge retrieval and adaptation through structured rule learning and conflict-aware memory systems. The framework shows significant performance improvements over existing methods, with 41% better first-try accuracy and enhanced compositional reasoning capabilities.