{
    "action": "tool_call",
    "reasoning": "No query evidence is visible for this turn, so I can't cite the numbers from my earlier draft. I'll run one profiling query over the raw table: nulls and blanks, duplicate keys, and numeric ranges after stripping units.",
    "tool": "query_sql",
    "args": {
        "source": "raw",
        "purpose": "Profile missing values, duplicates, and numeric ranges after cleaning text-typed numbers",
        "sql": "WITH t AS (SELECT *, TRY_CAST(regexp_replace(Age, '[^0-9.\\-]', '', 'g') AS DOUBLE) AS age_n, TRY_CAST(regexp_replace(Monthly_Income, '[^0-9.\\-]', '', 'g') AS DOUBLE) AS inc_n, TRY_CAST(regexp_replace(Monthly_AI_Cost, '[^0-9.\\-]', '', 'g') AS DOUBLE) AS cost_n, TRY_CAST(regexp_replace(AI_Usage_Hours_Per_Day, '[^0-9.\\-]', '', 'g') AS DOUBLE) AS use_n, TRY_CAST(regexp_replace(Time_Saved_Hours_Per_Week, '[^0-9.\\-]', '', 'g') AS DOUBLE) AS saved_n, TRY_CAST(regexp_replace(Work_or_Study_Hours_Per_Day, '[^0-9.\\-]', '', 'g') AS DOUBLE) AS work_n FROM raw.AI_Usage_and_Impact_on_Students_and_Professionals) SELECT COUNT(*) AS n_rows, COUNT(DISTINCT User_ID) AS distinct_ids, COUNT(*) - COUNT(NULLIF(TRIM(Age),'')) AS age_blank, COUNT(*) - COUNT(NULLIF(TRIM(Gender),'')) AS gender_blank, COUNT(*) - COUNT(NULLIF(TRIM(Monthly_Income),'')) AS income_blank, COUNT(*) - COUNT(NULLIF(TRIM(Monthly_AI_Cost),'')) AS cost_blank, COUNT(*) - COUNT(NULLIF(TRIM(AI_Usage_Hours_Per_Day),'')) AS use_blank, COUNT(*) - COUNT(NULLIF(TRIM(Time_Saved_Hours_Per_Week),'')) AS saved_blank, COUNT(*) - COUNT(NULLIF(TRIM(Work_or_Study_Hours_Per_Day),'')) AS work_blank, COUNT(*) - COUNT(Productivity_Score) AS prod_null, COUNT(*) - COUNT(Accuracy_Rating) AS acc_null, COUNT(*) - COUNT(Satisfaction_Score) AS sat_null, MIN(age_n) AS age_min, MAX(age_n) AS age_max, MIN(inc_n) AS inc_min, MAX(inc_n) AS inc_max, MIN(cost_n) AS cost_min, MAX(cost_n) AS cost_max, MIN(use_n) AS use_min, MAX(use_n) AS use_max, MIN(saved_n) AS saved_min, MAX(saved_n) AS saved_max, MIN(work_n) AS work_min, MAX(work_n) AS work_max, MIN(Productivity_Score) AS prod_min, MAX(Productivity_Score) AS prod_max, MIN(Accuracy_Rating) AS acc_min, MAX(Accuracy_Rating) AS acc_max, MIN(Satisfaction_Score) AS sat_min, MAX(Satisfaction_Score) AS sat_max FROM t"
    }
}