01
Meaning and correctness
- Factual consistency, instruction following, completeness, and internal contradictions
- Terminology, numbers, links, placeholders, and buyer-defined business rules
CHINESE · ENGLISH · JAPANESE
Make multilingual AI output ready to release.
LaunchClear reviews a bounded batch of AI output for meaning, language quality, localization fit, and release consistency using one agreed rubric and traceable evidence.
WHAT GETS REVIEWED
One rubric across three quality layers.
The final rubric is agreed before work begins, so every finding stays tied to an observable requirement.
02
Language and localization
- Chinese, English, and Japanese fluency, tone, register, and unnatural literal translation
- Locale-sensitive names, dates, currency, units, punctuation, and interface fit
03
Release consistency
- Item-level scoring against one agreed rubric
- Repeated-error patterns, prioritized corrections, and one retest after revision
WHAT YOU RECEIVE
A release decision with evidence behind it.
Scored review sheet
An item-level result for up to thirty outputs, including status, evidence, severity, and a concise note.
Pattern summary
A prioritized view of repeated failures, localization friction, and the smallest useful correction.
Retest record
One included review of the revised batch with a clear release, revise, or stop recommendation.
SCOPE BOUNDARY
A bounded quality sprint, with clear handling rules.
The service covers text review and evidence. It excludes model training, harmful-content operations, legal or regulatory review, security testing, production access, and materials the buyer is not authorized to share. Sensitive personal data must be removed before delivery.
Send the batch context