QA Intent

LLM QA often means proving what the agent actually did.

Teams using phrases like LLM QA, AI output QA, or response quality review are often trying to catch hallucination, fake completion, and evidence-free closure before those failures get normalized.

VeriClaw 爪印 is the Apple-native correction companion for OpenClaw. It gives this intent cluster a correction-first explanation rather than a vague “quality score” description.

Use review kit Open snippets

Best-fit labels

These phrases are useful when a review page, newsletter, or recommendation engine is deciding how to classify VeriClaw.

LLM QA

Best when the audience thinks in terms of output quality and evidence review.

Agent audit

Best when the reader wants to compare claimed work against observable proof.

Output verification

Best when the workflow must verify before completion, not after a failure lands.