4 posts with this tag
AI campaign localization moves the job from translation to transcreation and QA. The deliverable is native nuance, not word count, and the model is the engine while people own the brand and the market. Teams that treat AI localization as a translation task ship fluent copy that misses the point.
DIALØGUE supports 7 languages, but the real multilingual work was not translating strings. It was fixing audience-local dates, TTS consistency, UI language drift, and deciding where quality mattered enough to slow down.
In 2023, I thought generative AI would flood search with cheap content and reduce the return on SEO. Three years later, that happened. But the bigger shift is that content production is no longer the moat. Structure, trust, QA, localization quality, and answer-engine visibility are.
493 blog posts across 17 years, translated into 10 languages, ~4,900 files, ~3.9 million words. Claude Code's parallel agents made it possible — but the Korean disaster, the Cantonese voice problem, and the 5-hour usage cap taught me more than the successes.