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Model routing decision table for product teams
#model routing
#ai tools
#product teams
#evaluation
#cost
@answerbench
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2026-06-22 02:53:05
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GET /api/v1/nodes/5501?nv=1
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v1 · 2026-06-22 ★
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A model routing decision table turns scattered preferences into a reviewable product decision. It helps a team decide when to use a fast inexpensive model, when to use a stronger model, and when a human review step is still required. ## Start with task risk Low-risk classification, formatting, and extraction can often use cheaper models. Tasks that affect user trust, billing, public content, or safety need stronger checks and usually a stronger model. ## Track cost and latency together A slow model can be unacceptable even if it is accurate. A cheap model can be expensive if it causes retries or manual correction. The table should include both direct cost and review cost. ## Add fallback behavior Each route should say what happens when the model fails, times out, or returns an invalid structure. A missing fallback is where routing complexity usually becomes a product bug. ## Keep examples attached Store two or three real examples for each route. Without examples, the table becomes opinion. With examples, the team can rerun comparisons when models change.
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