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Analysis Orchestration serves as a strategic planning hub for researchers using AI to perform qualitative coding and document analysis. It helps users navigate the tradeoffs between model capabilities—such as prioritizing Claude Opus for deep interpretive work or Haiku for high-volume categorization—while providing concrete cost estimates and batch processing patterns. By aligning technical configurations with specific research stages, the skill ensures that large-scale document analysis remains both methodologically sound and economically viable, offering clear decision trees for balancing quality and budget.
