Abstract: Systems and methods are disclosed comprising techniques for dynamically generating memory nodes storing recommended operations for validating learning features, such as displaying a graph structure comprising acyclic sequences of memory nodes storing interactive elements, receiving an execution signal indicating user execution of the recommended operations where the execution signal comprises performance measures associated with usage of the interactive elements, accessing stored historical records comprising prior performance measures associated with prior user execution of recommended operations to validate prior learning features when the performance measures satisfy a tolerance threshold, input the performance measures and the prior performance measures into a generative machine learning model to generate a second target learning feature and recommended operations to validate the second target learning feature, determining interactive elements that cause the second recommended operations, and adjusting th