Introducing Context Suggestions

Introduced Context Suggestions, a feature that automatically generates actionable context improvements from user conversations and analyses. This involves a Review Agent that parses data agent interactions to extract summaries, topic tags, and warnings (context gaps, data limitations, user doubt). These insights are synthesized into 'Suggestions' for improving guides, semantic models, or metadata, creating a self-learning flywheel.