Hard-coded strings: what is still Chinese

A few strings always stay untranslated.

Prompt

Localisation is more than words: date formats, currency, faces in images, legal requirements. Without them the text reads foreign.

Task: A few strings always stay untranslated.

[Before you start, do three things]
1. Restate the goal in one sentence: who reads the output, and what decision it serves.
2. If I have not given you the following, ask me. Do not assume:
   - code structure and framework
   - known gaps
   - i18n library used
   - release cadence
3. Say how you plan to do it (at most 5 steps) and wait for my go-ahead.

[Go through each of these]
- scan source, rendered pages and text inside images
- classify: hard-coded, concatenated, third-party
- a pre-release checklist
- how to prevent recurrence

[Process]
1. List every localisable element: text, formats, images, law
2. One rule set per market
3. Check for hard-coded strings
4. Design a verification
5. Say what should stay untranslated

[Output]
Element list, market rules, gap check, verification.

[Do not]
- Never translate only the UI strings
- Do not ignore plurals and gender
- One format never fits all markets
- Never force-translate a brand name

What to state before it starts

Leave these unsaid and the model fills them with an assumption. Most 'wrong answers' start here.

code structure and framework
known gaps
i18n library used
release cadence

Go through each of these

Where this kind of work most often goes wrong. Already in the prompt, so you do not have to remember it.

scan source, rendered pages and text inside images
classify: hard-coded, concatenated, third-party
a pre-release checklist
how to prevent recurrence

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