Introducing Lingo.dev v1.0

Every localization team knows the pattern. Translators unfamiliar with the product get brand terms wrong. LLM wrappers have no memory across requests. After a few releases, terminology drifts - and nobody notices, because holistic quality scores say 0.95 and move on. We measured the gap. Injecting glossary context at inference time reduces terminology errors by 17-45% across five LLM providers and five European languages. We call this retrieval augmented localization (RAL). LLMs crossed the qual