A correct answer can still sound wrong
Why it matters
Before using AI for customer replies in another language, define what makes the wording appropriate for the people reading it.
Reading note
TII evaluates Falcon-Emirati with native-speaker review and separate checks for correctness and Emirati-dialect use. The reported results concern Emirati Arabic; they do not establish performance in Japanese, Korean or your support workflow.
Before this step: Model · Context
“whether the content was correct”One English pattern
The facts are correct, but the wording needs … for this audience.Explain a specific wording change and who needs it. Here, register means the level of formality appropriate to a situation. This pattern is our teaching example.
Write two short replies to a fictional support question in a language you know. Keep the facts the same; vary the formality. Define separate pass/fail rules for factual accuracy and audience fit, then score both replies. Explain one wording revision in English and flag any uncertain judgment for native-speaker review.
Check your draft
Did you explain the mechanism, name a condition, and make a concrete work decision? Saving records your draft, not a mastery score.