Field Notes

<p>Someone on your team ships a translated page overnight, looks like a hero, and nobody filed a localization request. Then you stumble on the copy later and think, “Did we do this?” That moment has a name: shadow...

<p>AI has made translation dramatically cheaper, yet a lot of localization leaders still feel like budgets are tightening and quality pressure is rising at the same time. We dig into why that paradox is real and how it...

<p>AI translation has never looked better on the surface, yet plenty of teams still can’t make it work reliably in production. We dig into the uncomfortable reason: large language models are probabilistic systems, so...

<p>Translation is getting faster every month, yet localization risk keeps rising. That’s not a paradox, it’s a signal that the bottleneck has moved. Stephanie from Argos sits down with Erik, an independent advisor at...

<p>“Quality” in translation sounds like a simple promise until you ask one uncomfortable question: what happens if it’s wrong? Stephanie and Erik unpack why so many localization pricing conversations get stuck on a...

<p>Metadata sounds like the boring part of localization until you realize it can be the difference between a scalable operation and a constant fire drill. We get specific about what’s at stake when a major share of a...

<p>Localization is changing so fast that our old labels might not survive it. Stephanie sits down with Erik Vogt to unpack “solutions design,” the strategic discipline of turning a real business problem into a...

<p>“Just connect the systems” is the phrase that launches a thousand painful integration projects. We sit down to get honest about why connectors in localization and content operations are rarely plug and play, even...

<p>AI can crank out marketing copy at a speed that feels like science fiction. The problem is that your audience still has the same 24 hours in a day, and their patience for generic content is getting thinner. Steph and...

<p>A CEO says “add AI,” a team nods, and suddenly everyone is shopping for tools instead of solving a problem. We dig into why that move derails so many AI initiatives and how to convert a fuzzy mandate into a project...

<p>Fuzzy matches have been treated like a law of physics in localization: higher similarity means lower effort, so the discount grid must be fair. But when we look closely, that assumption starts to wobble. Steph sits...

<p>AI LQA sounds like the shortcut every localization team wants, but the real story is more nuanced and a lot more useful. We sit down with Erik Vogt to define AI-driven linguistic quality assurance and quality...