{
    "action": "tool_call",
    "reasoning": "I have good evidence on overall usage and breakdowns by occupation, age, and education. The age pattern shows something interesting - 30-44 year olds (60.38%) use AI MORE than 18-29 year olds (58.38%), which contradicts the common assumption that younger people adopt technology faster. However, I should examine the frequency and depth of usage patterns to see if there's an even more counterintuitive finding. Let me look at how people are using AI - the frequency, tasks, and time spent - to see if usage patterns reveal something more surprising than adoption rates.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Question, Response, Overall FROM raw.polling_on_ai_usage_jul_2026 WHERE Question IN ('Frequency of Use', 'Share of Task Time Using AI', 'Tasks Handed Off to AI', 'Editing AI Output') ORDER BY Question, Response",
        "purpose": "Examine how deeply people engage with AI - frequency, time allocation, task handoff, and editing patterns - to find counterintuitive usage behaviors",
        "source": "raw"
    }
}