Overview
A hyperscale technology company publishes developer docs, UI strings and support content in thirty languages. Its style guide — hundreds of rules on terminology, voice and formatting — lived in a PDF reviewers quoted from memory. Generic machine translation ignored it.
We compiled the guide into machine-enforceable rules, tuned generation to follow them, and built an automatic checker that scores every batch against the guide before human review.
- Client
- Hyperscale technology platform
- Scope
- 30 languages, docs + UI + support
- Timeline
- Guide compilation to production in four months
- Services
- Language AI Content, AI Data Services
The challenge
Thirty languages times hundreds of rules is a combinatorial problem no reviewer team can hold in memory. Inconsistencies multiplied: the same term rendered three ways on one page, voice swinging between formal and chatty, formatting that broke build pipelines.
Our approach
Compile
Linguists converted the guide into testable, per-language rules.
Constrain
Generation prompts and checks enforce the rules at draft time.
Verify
An automatic checker scores every segment against the guide.
Govern
Reviewers handle exceptions; the guide evolves with data.
The outcome
Guide violations in shipped content fell to a fraction of previous levels, reviewer throughput rose as mechanical checks disappeared from their queues, and the style guide itself improved — real violations data showed which rules mattered and which needed rewriting.
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Is your style guide gathering dust?
We will compile it into rules your pipeline enforces automatically.