Case studies Language & localization

Review workspace for AI-checked book translations

A reader where linguists review AI-detected errors in translated books, with reviewer checks, consistency checks and signed delivery.

Reader-based reviewReviewer checksConsistency checksSigned delivery

The problem

A translated book is long, and an AI pass can flag hundreds of possible errors in it. Linguists need to work through those findings in reading order and add what the AI missed. Project managers need deadlines, reviewers and delivery under control across many books at once.

What our engineers built

A reviewer workflow

A separate reviewer checks a linguist’s changes and cannot review their own work.

Edits with an audit trail

Editing and reverting corrected translations, with quality reports that show who changed what.

An AI assistant in the workspace

An AI chat assistant that answers questions about a review without leaving the reader.

Deadlines and a faster reader

Deadline management for project managers and clients, plus performance work on long books in the reader.

What this means for your project

Review tools work when they follow how linguists actually read. We design AI-assisted review around the reader, the reviewer and the deadline.

Built by our engineers as part of a wider product team. The company is not named.

Explore the related service

From AI findings to a delivered book

  • Person
  • Automated
  1. 01

    Book arrives

    Segments and AI-detected errors arrive over a signed API.

    Automated
  2. 02

    Assign linguists

    The project manager assigns linguists to the project.

    Person
  3. 03

    Claim a book

    Each linguist claims one book at a time.

    Person
  4. 04

    Review in reader

    Accept, edit or revert AI findings in reading order, and add the errors it missed.

    Person
  5. 05

    Consistency QA

    Rule checks for register, units, headings and formatting, plus an AI quality pass.

    Automated
  6. 06

    Reviewer check

    A separate reviewer checks the linguist’s changes partway through the book.

    Person
  7. 07

    Delivery

    A corrected XLIFF file, an error report and a survey are generated and delivered.

    Automated

Related field notes

Field notes from our engineering team on problems from this kind of work.

All field notes

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