Building an Asian-market AI CEO persona for OpenClaw with native Chinese thinking

What this is

A developer has shared their experience building Eve, an AI CEO persona specifically designed for Hong Kong, Taiwan, and mainland China markets, addressing the common problem of English-based personas with poor Chinese translation quality.

The core problem being solved

Most "Asian" AI personas are just English personas with Google Translate quality Chinese that don't understand:

• Cantonese business idioms vs Mandarin formal tone
• Different urgency signals across HK/TW/CN markets
• Cultural calendar (CNY prep starts 6 weeks early, not 1 week)
• Local platforms: HKTVmall, LINE, WhatsApp Business vs WeChat

Key implementation details

Three separate voice modes: HK (Traditional Chinese + Cantonese slang), TW (Traditional Chinese + Taiwan-specific terms), CN (Simplified Chinese + formal tone). Same persona, three different outputs.

Asian-specific memory decay: Built a Hot/Warm/Cold tier where recent customer interactions decay faster than business relationship data. Guanxi (relationships) isn't transactional.

Platform-aware routing: The persona knows which platform it's on (WhatsApp Business, LINE, etc.) and adjusts message structure accordingly.

Local competitor monitoring: Built Algolia-based scrapers that update twice daily for platforms like HKTVmall with their own ecosystems.

Challenges encountered

• Cantonese has almost no good training data, requiring hand-crafting of idiom examples
• CN requires simplified Chinese + formal register, which sometimes conflicts with the persona's casual CEO voice
• Getting autonomous heartbeat working across timezones (HK office hours vs CN factory hours) took 3 iterations

Open questions

• How keigo levels in Japanese map to persona "tone settings"
• How to handle the persona switching languages mid-conversation (common with HK users who code-switch Cantonese/English)