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Multi-model validated simulation: 4 phases with validation gates. Morning (contract matching): 26/26 filled including 2 emergencies. Midday (intelligence): classified routing fixes the count/SQL gap — keyword classifier routes instantly, qwen2.5 generates SQL with few-shot examples showing exact column semantics. Afternoon (analytics): 5/5 SQL analytical queries. Key fix: few-shot SQL prompting. Adding 4 examples with correct column names (role, state, archetype) takes qwen2.5 from 40% to 80% accuracy on structured questions. The playbook logged this for future runs. Models: qwen3 (40K ctx, reasoning), qwen2.5 (fast SQL), nomic (embed). Query classifier is keyword-based — deterministic, instant, no LLM overhead for routing decisions. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>