{
    "action": "tool_call",
    "reasoning": "I've identified a potential counterintuitive pattern: higher call volumes appear to correlate with better AI performance, opposite of what you'd expect. To confirm this is the most surprising finding, I need to quantify the relationship between call volume and AI resolution rate. I'll calculate the correlation and compare high-volume vs low-volume days systematically. The data shows dates like 24-Jun (435 calls, 80.7% AI) and 23-Jun (428 calls, 80.8% AI) performing better than lower-volume days like 02-Jul (305 calls, 74.1% AI) and 04-Jul (123 calls, 74.0% AI). I need to verify this pattern holds across the full dataset.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH daily_metrics AS (SELECT Day, \"Total Calls\", \"AI Resolution %\", CASE WHEN Day LIKE '%-%' THEN Day ELSE NULL END as date_str FROM raw.callyeah_analytics_2026_07_23 WHERE Day LIKE '%-%' AND \"Total Calls\" NOT IN ('Total Calls', '', 'Count') AND \"AI Resolution %\" NOT IN ('AI Resolution %', '', '% of Total Calls')), volume_categories AS (SELECT Day, \"Total Calls\", \"AI Resolution %\", CASE WHEN CAST(REPLACE(\"Total Calls\", ',', '') AS INTEGER) >= 350 THEN 'High Volume (350+)' WHEN CAST(REPLACE(\"Total Calls\", ',', '') AS INTEGER) >= 250 THEN 'Medium Volume (250-349)' ELSE 'Low Volume (<250)' END as volume_category FROM daily_metrics) SELECT volume_category, COUNT(*) as days, ROUND(AVG(CAST(REPLACE(\"AI Resolution %\", '%', '') AS DECIMAL)), 1) as avg_ai_resolution_pct, MIN(CAST(REPLACE(\"AI Resolution %\", '%', '') AS DECIMAL)) as min_ai_pct, MAX(CAST(REPLACE(\"AI Resolution %\", '%', '') AS DECIMAL)) as max_ai_pct FROM volume_categories GROUP BY volume_category ORDER BY avg_ai_resolution_pct DESC",
        "purpose": "Calculate average AI resolution rates by call volume category to confirm whether high-volume days actually perform better than low-volume days",
        "source": "raw"
    }
}