Despite the advancements in AI, a SurveyMonkey study found that 31% of marketers have concerns about the accuracy or quality of AI tools. This isn't just about minor typos; it points to deeper issues like inconsistent tone, factual errors, and a critical lack of contextual understanding – all of which derail global content efforts and inflate localization costs. What if you could slash your AI-generated content costs in half without sacrificing quality or consistency? This isn't just a hypothetical. In a recent episode of The Agile Localization Podcast, host Stefan Huyghe sits down with Steven Wiseman, Chief Revenue Officer and Co-Owner at WritePoint, to unpack a framework that promises exactly that. Dubbed the Content Excellence Framework, this method helps teams dramatically improve the quality of AI-generated content and reduce localization costs across the board. From structured blueprints to smart verification loops, Steven's approach isn't about chasing AI hype; it's about operationalizing AI content creation with clarity, control, and real business value. Listen to the new episode on: - Apple Podcasts - Spotify - YouTube

In April, we closed 209 tasks and shipped 381 updates across Crowdin Enterprise and Crowdin.com. We introduced a new layout for the multilingual grid view in the Editor and made AI pre-translation faster and more context-aware. Task creation now supports automatic cost estimate reports, and we’ve added filtering and ignore options for integrations, usefull if you have lots of content in your CMS. The Crowdin Store also saw multiple improvements, including new export formats and enhancements to existing tools.

Localization can be a powerful catalyst for global business success (when done right). However, integrating it smoothly into product development remains a significant challenge for many companies. In a recent episode of The Agile Localization Podcast, Julio Madrid, a Localization Specialist at Walmart, shared insights about embedding localization early in product development, fostering cross-team collaboration, and harnessing technology to streamline processes.

When startups dream of global expansion, they often envision the exciting possibilities of new markets and revenue streams. What they don't see is the complex web of technical challenges lurking beneath the surface of internationalization. In a recent episode of The Agile Localization Podcast, host Stefan Huyghe sat down with Alex Bit and Mo Mohebifar, Co-founders of Codemod, to break down the challenges of i18n, the role of AI, and how automation can turn a daunting process into a manageable one. This isn't your typical high-level, buzzword-filled conversation. Alex and Mo are engineers at heart, deeply technical, battle-tested, and obsessed with building practical tools that solve real developer pain. They come armed with years of experience at companies like Meta, Brex, and Shopify, and they've built Codemod from the ground up to make large-scale code migrations faster, smarter, and less soul-crushing.

This month, we’ve successfully closed 283 tasks and deployed 375 updates. In this article, we’ll walk you through the latest features and enhancements, including the new AI-powered Context Evaluation Report, improved user management with group filters, and exciting updates to pre-translation and reporting. We’ve also added several new integrations, including ABBYY Vantage OCR, Prismic, Synthesia, Braze Campaigns & Canvas Translation, and updates to Webflow, Intercom, Slack, and Jira.

Localization is an ever-evolving field, and staying ahead requires innovation, adaptability, and an acute understanding of both technology and linguistics. In a recent episode of The Agile Localization Podcast, host Stefan Huyghe sat down with Felix Bartz and Olli Gurtschmann, Co-founders of Wordcrafts, to discuss how their company is redefining localization, particularly for the Apple ecosystem.