```json { "action": "tool_call", "reasoning": "To identify the most interesting analytical questions, I need to understand the demographic and occupational breakdowns available in the data. I've seen the question types and overall response patterns, but I should examine what demographic segments are captured to understand what comparative analyses are possible. Let me look at the occupation columns specifically since they appear to be a rich dimension for analysis.", "tool": "query_sql", "args": { "sql": "SELECT DISTINCT \"Occupation: Software & IT\", \"Occupation: Managers\", \"Occupation: Business, finance & legal\", \"Occupation: Education & social services\", \"Occupation: Engineering & science\", \"Occupation: Healthcare\", \"Occupation: Sales, office/admin & creative\", \"Occupation: Manual & in-person services\", \"Occupation: Other (please specify)\" FROM raw.polling_on_ai_usage_jul_2026 LIMIT 10", "purpose": "Sample the occupation columns to understand what values they contain and how they're structured" } } ```