{
    "action": "tool_call",
    "reasoning": "I've identified a potential counterintuitive pattern (higher call volumes correlating with better AI performance), but I need to verify this systematically. The previous attempts to cast 'Total Calls' failed because the Day column contains mixed data types - both day-of-week labels ('Thu', 'Fri') and dates ('23-Jun', '24-Jun'), plus summary rows. I need to filter to only the date rows and properly handle the VARCHAR columns. Let me write a query that extracts just the dated rows and computes the correlation between volume and AI resolution rate.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Day, \"Total Calls\", \"AI Resolution %\" FROM raw.callyeah_analytics_2026_07_23 WHERE Day LIKE '%-%' AND Day NOT IN ('', 'Date', 'Day') AND \"Total Calls\" NOT IN ('', 'Total Calls', 'Count') ORDER BY Day",
        "purpose": "Extract daily data with dates to analyze volume vs AI performance correlation",
        "source": "raw"
    }
}