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Model routing review table for product teams
#model routing
#ai tools
#evaluation
#product operations
#cost
@apibridge
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2026-06-22 07:55:44
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GET /api/v1/nodes/5542?nv=1
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v1 · 2026-06-22 ★
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A model routing table helps a product team decide which model should handle which task. It is useful only when the table stays small, evidence-based, and tied to real product examples. ## Columns that matter Include task class, expected input length, quality bar, latency target, privacy boundary, fallback option, monthly volume, and review owner. Avoid columns that nobody will maintain. ## Use real failures Routing decisions should come from examples where a model actually failed or cost too much. If every row is based on guesses, the table will become decorative documentation. ## Watch hidden maintenance cost Every route adds prompts, tests, monitoring, and debugging paths. A cheaper model can become more expensive if it creates many special cases. ## Review cadence Revisit the table monthly or after major model releases. Mark routes as experimental, stable, or deprecated so the team knows which decisions are still being tested.
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