14.Cultural color and token audit

Name: Dembrandt
Author: Dembrandt

DesignerMarketingAgency

Overview

Extract a site's design tokens with the target locale set, then ask an AI to flag colors, visual patterns, or density choices that carry cultural risk in a specific market or region.

Color meaning is not universal. White signals mourning in parts of East Asia. Green carries religious weight in several Middle Eastern markets. Red communicates luck in China and danger in Western Europe. When expanding a product into a new region or localizing for a specific culture, the existing token palette may contain choices that land poorly, or are outright offensive, without the team realizing it. Use Dembrandt with --locale and --timezone set to the target market, extract the live site as it renders for that audience, then ask an AI agent to analyze the palette against known cultural color conventions for that region. The output is a concrete list of tokens that carry cultural risk, with alternatives.

Extract with target locale

Terminal

dembrandt brand.com --locale ja-JP --timezone Asia/Tokyo --save-output

Extract Middle Eastern market

Terminal

dembrandt brand.com --locale ar-SA --timezone Asia/Riyadh --save-output

Extract with Finnish locale

Terminal

dembrandt brand.com --locale fi-FI --timezone Europe/Helsinki --save-output

Agent prompt: cultural risk analysis

# Load the extraction JSON, then:

"Analyze this design token palette for cultural risk in [Japan / Saudi Arabia / Brazil / target market].

For each color in the palette:

1. Note any cultural associations (positive, negative, or sensitive) in that market

2. Flag colors that carry significant risk as ⚠️

3. Note colors that are particularly well-suited for that market as ✓

Also review:

- Overall color temperature (warm/cool) and its reception in this culture

- High-density vs. open layouts and local UI conventions

- Any patterns in the spacing or visual weight that may feel unfamiliar

Suggest specific token value changes for any flagged risks."

Output

Per-token cultural risk assessment with ⚠️ flags, market-specific associations, and suggested alternatives.

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