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Chicagoland
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Where is this “Global English” curriculum used? The AI weighs its recommendations across all of these regions and flags terms that differ between them (e.g. it’ll point out that “rucksack” is British but Australians say “backpack”).
Spot Check sometimes guesses your page/exercise-code convention and wrongly flags a correctly-numbered page. Tell it exactly how the codes look — give two examples for the Original (US) and two for the Global version of the same codes. It will then learn the pattern and stop flagging correct codes.
Every review decision you make is stored as a labelled example to train a future model. You can download it, or reset it to start fresh. The learned word-rules (localisation glossary) can be downloaded separately.
Dollar figures are estimates from xAI's reported usage. Token counts are exact; the $ depends on grok's rate. Set the value below so the totals match your real xAI invoice, then Apply.
Each card is a booklet Rachel needs changed. Open the report to see exactly what to fix, make the changes on your side, then upload the corrected Global file — the system re-checks it automatically and lets Rachel know how it looks.
Design members sign in to their own queue where they receive your reports, make the changes, and upload the corrected files. Give them a username and a starting password.
Each card is a set of curriculum items Rachel picked, with a note on where to use them. Open one to see the items and any illustrations, then mark it done once you've incorporated it.