I need to explore this dataset systematically to find surprising patterns. Let me start by understanding what data is actually available, then look for counterintuitive relationships. {"action": "tool_call", "reasoning": "The overview shows this is a data intelligence platform's internal telemetry. The most interesting findings often come from unexpected relationships or distributions. Let me first check what's in the LLM usage data since AI costs and usage patterns often reveal surprises.", "tool": "inspect_columns", "args": {"table": "raw.llm_calls"}}