Evaluation-Gated Routing

Simple Definition

Evaluation-gated routing is routing tasks to a cheaper, faster, or different AI model only after that model has demonstrated acceptable performance on representative evaluations.

In practical agent workflows, this is a narrower, more disciplined version of ordinary model routing, and the term itself is still emerging rather than fully standardized.

Plain-English Explanation

Basic model routing often works on intuition: “use the cheap model for easy tasks.” Evaluation-gated routing replaces that guess with evidence: “use the cheap model for this specific category of task, because it has already passed our evaluation for that category, at the accuracy, latency, and safety bar we require.” The routing decision is earned by measured performance on the relevant task type, not assumed from a model’s general reputation or price tier.

Example

A company tests a cheaper model against two hundred real customer-support tickets. If it holds at least 95% acceptable quality, meets the required response latency, and clears the required safety bar, that category of ticket can route to the cheaper model automatically going forward. Anything harder, or anything the cheap model fails, escalates to a stronger model instead.

Why It Matters

Routing without evaluations is guesswork dressed up as a cost-saving strategy. A model that looks fine on a handful of manual spot checks can still fail silently on a category of task nobody happened to test. Gating the routing decision behind actual evaluation results means the cost savings are backed by evidence, not assumption, and gives you a concrete threshold to re-check when a model or task mix changes.

Related Terms

• Model Routing, the general practice of sending tasks to different models
• AI Evals, the tests whose results gate the routing decision
• Model Escalation, moving a specific task up to a stronger model mid-workflow, a related but distinct mechanism
• Task Budget, the cost estimate that evaluation-gated routing is often trying to protect
• Effort Routing, choosing how much reasoning depth a task gets, a related but separate axis from which model handles it