Tailor
Brief
Translate and localize an announcement
Paste the source text and name the languages; get translations with locale-adapted details and a flag list for local review.
The prompt
Translate this announcement into [languages] and localize it for [regions].
Context: the source text: [paste]. Terms that must stay in English (product names, system names): [list]. Regional differences in the policy itself: [list].
Audience: employees in [regions], reading on desktop and mobile.
Tone: match the original — [e.g., warm and clear]; use formal or informal address as each locale expects.
Must include:
– The translated text, with the original structure and headings preserved
– Dates, times, currencies, and phone formats adapted to each locale
– A flag list of anything that may not translate directly (idioms, humor, legal or HR terms) with a suggested alternative
– A note on anything the local HR or legal team should confirm
Constraints: never invent regional policy details; mark them in [brackets] for local review.
Output: one section per language, then the flag list.
Works in
Any AI toolHow to use
List the terms that must stay in English (product names, system names) or they will be translated too.
The prompt
Translate this announcement into [languages] and localize it for [regions].
Context: the source text: [paste]. Terms that must stay in English (product names, system names): [list]. Regional differences in the policy itself: [list].
Audience: employees in [regions], reading on desktop and mobile.
Tone: match the original — [e.g., warm and clear]; use formal or informal address as each locale expects.
Must include:
– The translated text, with the original structure and headings preserved
– Dates, times, currencies, and phone formats adapted to each locale
– A flag list of anything that may not translate directly (idioms, humor, legal or HR terms) with a suggested alternative
– A note on anything the local HR or legal team should confirm
Constraints: never invent regional policy details; mark them in [brackets] for local review.
Output: one section per language, then the flag list.
