The world of localization is full of small, hidden details.
Some things are deeper than they seem, and I often see between in-context review and LQA in the world of Localization. They might seem the same, but if we scratch beneath the surface, we'll see they're not what they seem.
In this post, I want to focus on explaining the differences between in-context review and LQA, which is something I see being confused quite frequently, and although the tasks are similar ... they are not the same.
AI promises faster localization, and that message is attractive. But in many teams, the real issue is not speed. The work gets delivered. The harder question is how much hidden coordination, unclear ownership, and workflow complexity it takes to get there.