The review cost of claim-level evidence

Count work at the claim level

An answer containing eight factual claims may need more evidence review than an answer containing two, even if both have a similar token count. If the checking stage evaluates every claim against several passages, its workload grows with both the answer structure and candidate evidence.

Measure these inputs before comparing model prices. Record claims per answer, passages per claim, prompt size, evaluator calls and retries. Keep the actual user-visible latency as well. Parallel checks can reduce waiting time while increasing peak concurrency and pressure on rate limits.

A long answer can therefore be expensive twice: first to generate, then to verify. Concise answers can reduce the amount of evidence that must be inspected, provided they still include essential conditions. Removing an exception to save tokens is a false economy.

Avoid checking the same thing repeatedly

Validate identifiers and output structure in application code before making an evaluator call. There is no reason to pay a model to decide whether E7 exists in a map. Separate deterministic integrity checks from semantic support checks.

For repeated questions, consider reuse only when the source version, permission context and answer inputs make it safe. A cached support judgement for one passage version should not automatically apply after the source changes. An answer suitable for one audience may also expose evidence another audience cannot read.

Batching claims can reduce request overhead, but very large review prompts may make it harder to associate each judgement with the right statement. Measure accuracy and latency together rather than assuming fewer calls always produce a better system.

Allocate human review deliberately

Human review is often the scarcest resource. Use reviewed samples to understand common failures and reserve mandatory review for uses that justify it. A discovery summary and a recommendation that changes a financial commitment should not inherit the same acceptance process by accident.

Give reviewers the claim, cited passage, relevant source context and reason for escalation. Sending an entire conversation without highlighting the disputed statement increases review time and disagreement. Track how often a reviewer needs to open additional material, because that indicates whether the evidence package is useful.

Do not describe model-based checking as a replacement for accountable approval where the workflow requires one. It can help organise evidence, but the business decision and its authority remain separate.

Budget for failure paths

Include regeneration, source lookup failures and evaluator timeouts in capacity tests. A support check that fails during a busy period should lead to a defined limited response or queued review. Repeatedly retrying the entire answer pipeline can multiply cost and delay without improving the evidence.

Choose a maximum verification budget per request and decide what happens when it is exhausted. The interface should explain the limitation honestly. Compare designs using cost per useful, accepted answer rather than cost per generated response. This denominator includes the work required to produce something a reader can responsibly use.