AI Engineer reached 600,000 YouTube subscribers in under three years not because it mastered video production, but because it barely needs to produce videos at all: recordings from eight conferences a year create an inexhaustible supply of YouTube material. The real constraint on content creation is structure, not skill.
On 109 posts that genuinely contain Mainland vocabulary, zhtw-mcp scored 29.4% precision at 85.2% recall; twlint scored 21.2% / 82.5% — but 195 of twlint's error-level findings are legitimate Traditional characters misread as Simplified (干→幹 60 times, 只→隻 15), so --fix corrupts the text. The most useful result was not a winner: zhtw-mcp found five Mainland terms my own list had missed, and correctly declined to flag one it wrongly included (審計). These tools calibrate your wordlist; they do not replace it.
Akira runs a Threads → Blog → Docs three-tier funnel with agent-assisted publishing, building a sustainable knowledge monetization model in the Chinese-language AI content market.
Different AI engines process web pages in vastly different ways. Some only read the body; others rely on pre-built indexes. JSON-LD and schema markup are not universally effective — body content quality and structure are the only cross-platform foundations that hold.
AEO (Answer Engine Optimization) is a content strategy aimed at AI search engines like Perplexity, ChatGPT Search, and Google AI Overview. The core idea is to make your content the easiest source for AI to cite — not just another link in the results page.