Consistency across the corpus
A term translated one way in chapter 3 and another in chapter 30 – and both passed review. I check across the whole corpus and every language pair, not sentence by sentence.
For translation and content agencies already using AI: I build the scoring that shows whether output is publishable – before it reaches your client.
Single pieces pass review. The problem only shows across hundreds of them – and it shows at the client, not in QA.
A term translated one way in chapter 3 and another in chapter 30 – and both passed review. I check across the whole corpus and every language pair, not sentence by sentence.
A dedicated stage hunts for the tells that make client-facing text read as machine-written. The aim is better quality – not hiding that AI was used.
Weighted rubrics with numeric scores instead of gut feeling, applied to output you already produce – and re-run later so you see the delta.
Small start, fixed scope, evidence in the open.
You tell me how you work with AI and review today. 15 minutes, free.
I read a representative sample of what you actually produce – not a curated one.
Clear scope, fixed price, in writing up front. No hourly billing.
Scoring rubrics and check stages, applied to your output – with a score and the reasoning behind it.
Your team runs the checks itself. If you want, I re-score regularly and show you the delta.
Write to me or book a free 15-minute call – you'll find every way to reach me in my contact section.