I can see from the evidence that I've already queried the time dimension (Publication date) and obtained yearly model counts. The results show 50 rows but are truncated. Let me get the complete time series to identify all notable spikes, dips, and breaks. ```json { "action": "tool_call", "reasoning": "The previous queries returned truncated results (50 rows shown). I need the complete time series from 1950 to 2026 to identify all notable spikes, dips, and breaks. I'll query for the full range without a LIMIT to see the entire pattern.", "tool": "query_sql", "args": { "sql": "SELECT EXTRACT(YEAR FROM \"Publication date\") AS year, COUNT(*) AS model_count FROM raw.all_ai_models WHERE \"Publication date\" IS NOT NULL GROUP BY EXTRACT(YEAR FROM \"Publication date\") ORDER BY year", "purpose": "Get complete yearly time series of AI model publications to identify spikes, dips, and breaks", "source": "raw" } } ```