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llm:5b1614bd1e201ffbb1883a52e854cf4df3a5a12cc31294879e139230a3ca6b7d
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{
    "action": "tool_call",
    "reasoning": "I have good baseline understanding from the evidence: 15K jobs across 16 companies, 20 titles, 15 industries, spanning 2024-2025. Salaries range $32K-$399K with clear experience level stratification (EN: $63K, MI: $88K, SE: $122K, EX: $188K). Remote work is evenly split across 0/50/100% ratios. To propose truly interesting questions, I need to explore what makes this dataset unique beyond basic distributions. Let me check the industry and job title breakdowns to see if there are interesting patterns in specialization, and also look at geographic distribution since we have both company_location and employee_residence.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT industry, COUNT(*) as job_count, ROUND(AVG(salary_usd), 0) as avg_salary, COUNT(DISTINCT job_title) as unique_titles, COUNT(DISTINCT company_name) as companies FROM raw.ai_job_dataset GROUP BY industry ORDER BY job_count DESC",
        "purpose": "Understand industry distribution and specialization patterns",
        "source": "raw"
    }
}