Images and colour: cultural fit

One image set for all markets, some of which offend.

Prompt

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

Task: One image set for all markets, some of which offend.

[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:
   - markets and taboos
   - image content: people, gestures, colours
   - brand rules
   - cost
3. Say how you plan to do it (at most 5 steps) and wait for my go-ahead.

[Go through each of these]
- taboos per market
- which scenes need replacing
- a minimal swap: people and details only
- which images travel globally

[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.

markets and taboos
image content: people, gestures, colours
brand rules
cost

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.

taboos per market
which scenes need replacing
a minimal swap: people and details only
which images travel globally

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