A knowledge workflow may need different models for different jobs, rather than one flagship model everywhere.

Parsing, retrieval, classification, and answer writing have different failure modes. Draw the task chain before deciding where a model belongs.

Set a separate acceptance test for each stage, including its data needs, permissions, cost, and expected output.

Test fallback routes and escalation deliberately. A cheaper first step is not a saving when repeated failures create more review work later.

Keep routing only where it earns its complexity. Compare the complete operating effort, and revisit the decision when tasks, models, or failure patterns change.

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