This is interesting! Exactly our experience, you do have to guide LLMs on author the source text in the way we would write, with few-shot examples in the prompt

This is interesting! Exactly our experience, you do have to guide LLMs on author the source text in the way we would write, with few-shot examples in the prompt. And then prompt them to transcreate so it doesn't calque (read as a literal translation rather than something a native speaker would have written for other native speakers). Both of this can be solved for reasonably well with the right prompt guidance IMHO. In my experience, there's two key incredients to get to a good results (with humans OR LLMs doing the work), I've worked on plenty of sites that had human l10n before LLMs came about. If you're interested in the actual prompt we're using for our voice that includes instructions on how to avoid sounding like bad LLM copy, I've popped that here in a Github Gist: https://gist.github.com/tobyurff/2b461c259c34dfc6758a39329822dab8 https://gist.github.com/tobyurff/2b461c259c34dfc6758a3932982... Hope it helps, I might turn that into a blog post one day as well, seems like this could be useful to others!