{
    "action": "tool_call",
    "reasoning": "My previous reply was not valid JSON, and I can't see the tool results it cited in the evidence. I'll recompute the correlations over a cleaned version of the text-typed numeric columns so every figure is backed by a query I ran.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH c AS (SELECT TRY_CAST(regexp_replace(Age, '[^0-9.\\-]', '', 'g') AS DOUBLE) AS age, TRY_CAST(regexp_replace(Monthly_Income, '[^0-9.\\-]', '', 'g') AS DOUBLE) AS income, TRY_CAST(regexp_replace(AI_Usage_Hours_Per_Day, '[^0-9.\\-]', '', 'g') AS DOUBLE) AS usage_hrs, TRY_CAST(regexp_replace(Monthly_AI_Cost, '[^0-9.\\-]', '', 'g') AS DOUBLE) AS cost, TRY_CAST(regexp_replace(Time_Saved_Hours_Per_Week, '[^0-9.\\-]', '', 'g') AS DOUBLE) AS time_saved, TRY_CAST(regexp_replace(Work_or_Study_Hours_Per_Day, '[^0-9.\\-]', '', 'g') AS DOUBLE) AS work_hrs, Productivity_Score AS productivity, Accuracy_Rating AS accuracy, Satisfaction_Score AS satisfaction FROM raw.AI_Usage_and_Impact_on_Students_and_Professionals) SELECT COUNT(*) AS n, ROUND(corr(usage_hrs, time_saved),3) AS usage_timesaved, ROUND(corr(productivity, time_saved),3) AS prod_timesaved, ROUND(corr(usage_hrs, productivity),3) AS usage_prod, ROUND(corr(productivity, satisfaction),3) AS prod_sat, ROUND(corr(accuracy, satisfaction),3) AS acc_sat, ROUND(corr(accuracy, productivity),3) AS acc_prod, ROUND(corr(accuracy, time_saved),3) AS acc_timesaved, ROUND(corr(satisfaction, time_saved),3) AS sat_timesaved, ROUND(corr(usage_hrs, satisfaction),3) AS usage_sat, ROUND(corr(age, work_hrs),3) AS age_work, ROUND(corr(cost, productivity),3) AS cost_prod, ROUND(corr(cost, satisfaction),3) AS cost_sat, ROUND(corr(cost, time_saved),3) AS cost_timesaved, ROUND(corr(cost, usage_hrs),3) AS cost_usage, ROUND(corr(income, cost),3) AS income_cost, ROUND(corr(income, productivity),3) AS income_prod, ROUND(corr(income, satisfaction),3) AS income_sat, ROUND(corr(age, productivity),3) AS age_prod, ROUND(corr(age, satisfaction),3) AS age_sat, COUNT(usage_hrs) AS n_usage, COUNT(time_saved) AS n_timesaved, COUNT(cost) AS n_cost, COUNT(income) AS n_income, COUNT(age) AS n_age, COUNT(work_hrs) AS n_work FROM c",
        "purpose": "Compute Pearson correlations among numeric columns after cleaning text-typed values",
        "source": "raw"
    }
}