About these translations
We want everyone to be able to read Agile4AI in their own language — so we publish AI-assisted translations, openly, before they're perfect. Here's how they're made, and how you can help make them better.
Most of what you read here in a language other than English began as an AI translation. We review what we can, and we're getting better at it — and we know some phrasings will be stiff, some nuance will be lost, and now and then something will be embarrassingly wrong. We'd rather tell you that plainly than pretend otherwise.
We publish anyway, on purpose. Waiting for flawless translations in multiple languages would mean most people couldn't read this at all for a very long time. Access now, honestly labeled and openly improving, beats perfect access someday — this is the Agile Kaizen way of continuous improvement. If a passage ever reads oddly, that's on our process — not on you — and the original English is always a click away.
How we translate
Every locale moves through the same open pipeline:
- AI-translated — a first, complete rendering into your language, so nothing is left unreadable.
- Human-reviewed — an editor checks meaning, tone, and our key terms, correcting where it matters most.
- Reader-improved — you, and readers like you, suggest better wording over time. Good suggestions become part of the text.
It's the same idea as the rest of Agile4AI: the reasoning is visible, the work improves in public, and the people closest to the language help shape the final result.
Help us improve — right where you're reading
If something sounds off, unclear, or culturally strange, use the comments section on the post where you found it. Leave a comment and press Suggest a translation so we know exactly what you're improving. An AI and a human editor can accept it, ask a follow-up, or explain their choice.
Even a small correction helps the next reader, and over time those corrections make the whole site better.
Would you like to help translate?
We'd be grateful for volunteer translators and reviewers — especially people who can catch tone, idiom, and cultural nuance that automated systems miss.
No minimum commitment: a single suggested correction, a review of one post, or occasional notes when something feels wrong all count.
Get in touch about volunteering
Thank you for reading us in your language — and for your patience and generosity as we make it better, together.