PlaysbyMoat8
Back to the library
The workflow guideMarketing

Adapt existing content into another language without losing brand voice

Use an existing editorial archive to document tone and adapt useful topics for a new language and audience.

6 implementation stepsIntermediate

How this works

Use an existing editorial archive to document tone and adapt useful topics for a new language and audience. Brand voice is more than translating preferred words. Sentence rhythm, level of formality, examples, and acceptable promises may need adaptation for a different audience while factual meaning stays fixed.

Extract a concise style profile from approved writing, then adapt a selected piece using explicit locale guidance. Keep product claims and required terminology in a controlled glossary. A fluent reviewer checks naturalness and meaning; accepted corrections improve the shared profile.

Before you start

Approved archive

Choose representative recent writing rather than one unusually styled post.

Locale brief

Specify target language, region, audience, and channel.

Terminology decisions

Collect product names, terms to preserve, and prohibited claims.

Prepare the inputs

source_content
Required

Approved text

Preserve factual claims and required qualifications.

style_examples
Required

Representative samples

Separate author voice from temporary campaign language.

locale
Required

Language and region

Avoid assuming all speakers use the same conventions.

glossary
Required

Term mappings

Mark terms that must remain unchanged.

channel_constraints
Required

Length and format

State which structural adaptations are allowed.

Implementation, step by step

  1. Describe the source voice

    • Identify recurring sentence length, tone, hooks, examples, and formatting.
    • Write actionable rules with evidence and avoid reducing the voice to vague adjectives.

    Checkpoint: A compact style profile.

  2. Map meaning and fixed facts

    • List the claims, numbers, product terms, and qualifications that must survive adaptation.
    • Identify idioms or cultural references that need replacement rather than literal translation.

    Checkpoint: A meaning-preservation checklist.

  3. Adapt for the target reader

    • Draft naturally in the target locale using equivalent examples where authorized.
    • Keep unfamiliar product terms explained and do not invent region-specific availability.

    Checkpoint: A localized first draft.

  4. Compare against the source

    • Check factual propositions and implied promises sentence by sentence.
    • Flag deliberate departures so reviewers can distinguish adaptation from error.

    Checkpoint: A bilingual review note.

  5. Review naturalness and tone

    • Have a fluent reviewer assess register, rhythm, and cultural fit.
    • Resolve terminology consistently across headings, calls to action, and body copy.

    Checkpoint: A corrected localized draft.

  6. Maintain reusable guidance

    • Save accepted corrections as specific rules or glossary updates.
    • Keep the original and final versions so future editors can understand the changes.

    Checkpoint: An updated style profile and approved draft.

Decisions along the way

An idiom has no natural equivalent

Replace its communicative function rather than its literal words.

The product is not offered in the target region

Remove or qualify the call to action.

Brand voice conflicts with local clarity

Prefer understandable wording and document the exception.

What you will produce

localized-draft.md

Markdown

An editable localized asset.

Include: locale · content · adaptation_notes · review_status

voice-and-glossary.json

JSON

Supports consistent future adaptation.

Include: style_rules · term_mappings · exceptions · version

Check the result

  • Verify numbers, dates, and qualifications against the source.
  • Check terminology consistency throughout the draft.
  • Read the text as native copy rather than a translated sentence chain.
  • Confirm cultural substitutions do not create new factual claims.

When something goes wrong

The output imitates source grammar awkwardly

Redraft from the meaning map in the target language.

A glossary term is used inconsistently

Correct all occurrences and update the review checklist.

The model invents a local example

Replace it with a supplied example or label it illustrative.

A worked example

SYNTHETIC EXAMPLE · NOT A REPORTED BUSINESS RESULT

Request

Adapt an informal English operations post for a formal regional audience.

Inputs

Synthetic example. Synthetic source says the checklist may reduce missed handoffs; the glossary preserves the product name.

Expected result

Synthetic expected result. The adaptation changes greeting and sentence rhythm but retains may. It does not turn the claim into a guaranteed reduction.

Run a small pilot

Start small

A few pieces representing different formats and levels of technical detail.

Record the baseline

Record fluent-review effort and meaning corrections.

Agree success criteria

Agree naturalness and factual-fidelity criteria with the locale reviewer.

Stop or revise

Stop publication if no qualified review is available for consequential wording.

Keep the scope clear

  • Use only writing examples supplied or authorized for the brand.
  • Localization does not grant permission to publish in a new market.

Check before using

Review factual claims and cultural fit. Preserve genuine meaning and do not manufacture engagement or insert deliberate errors.

Business activities

  • Create and publish content

Editorially adapted workflow; not independently tested.

FROM A RECIPE TO YOUR WORKFLOW

Bring the company context together.

This workflow needs reliable inputs before it needs a better prompt. Moat8 Vault brings working information into a readable archive for the AI tools you use.

For this recipe: Approved past posts · Tone and topic constraints · Target audience and language

Start with one recurring task, agree which sources to use, and review the first result with your team.

Discuss this workflow

What does your team do?

Choose the recurring work you would like to improve.

A field guide, made for work.

Plays is a curated library of anonymized business workflows. Each recipe explains the inputs, steps, tools, and checks you can adapt to your team. These are editorial guides, not independently tested implementations.

When you share a company website, the guide may read a limited number of public pages on that website. Messages and retrieved page text are sent to our AI provider, NVIDIA, to recommend relevant workflows. Share a general description rather than confidential information.

Saved workflows and selected activities stay in this browser. Your chat history and selected company website are kept in this tab and cleared when you reload or start a new chat. The server does not store conversations. Live source monitoring is not enabled.

If you allow analytics, PostHog receives page views and actions such as workflow saves, skill downloads and link clicks. Random browser and session identifiers connect these actions without identifying you by name. Your choice and browser identifier expire after 90 days; sessions restart after 30 minutes of inactivity or 24 hours. We use local storage, not analytics cookies. Messages, company URLs, search text, full referrers and IP addresses are not sent. There are no person profiles or session recordings. You can decline or withdraw in Analytics settings; Do Not Track and Global Privacy Control keep analytics off.

Read the Plays Privacy Notice ↗