Localization Engine Suggestions now come from the corrections human reviewers make, not only from low AI-review scores.
When a reviewer edits a translation whether in-house or through an external provider the localization engine compares the change against what it first produced. When the same fix recurs across jobs, or a correction clearly sets a term, it proposes the glossary, instruction, or brand-voice edit behind it. Apply writes the change into the engine, and the next translation runs with the fix in place.
Suggestions can now be approved or dismissed in bulk select a set and act on all of them at once, instead of one card at a time.
Full changelog: lingo.dev/changelog