外僑居留證 條件

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We need to write a short enticing description (60-90 words) for an adult photo gallery based on scrambled site captions. But the captions are about Taiwan residency, labor, etc. The gallery title is “外僑居留證 條件”. Must write description in same language as title (Chinese). Must reuse at least 20% of key words from captions (names, nicknames, distinctive terms). Must include exact words listed: “臺北市政府勞動局department, labor, taipei, city, government, 居留證查詢專區, 移工自113年1月1日起, 得向移民署申請多次重入國許可, 多國翻譯, 惜福人力集團, 專業仲介移工優質親切服務, 4大外國人設立公司取得, 台灣居留證, 外籍人士募集專區, foodpanda外送夥伴官方平台.”

We must include these exact words where natural. That's a lot of words. Must be 60-90 words total. Must be plain text, no markdown, no lists, no quotes. No AI-flag words. No em/en dashes. No “not only...but”. No “At its core”. No forced groups of three. Use “to” instead of “in order to”. Use “because” instead of “due to the fact that”. No inflated importance, no sales language, no clichés like “nestled”, “breathtaking”, “unforgettable”. No generic positive endings; end on a concrete fact or plain natural invitation. No emojis, no curly quotes, no markdown, no bold. Vary sentence length naturally, state things directly, keep every claim supported by captions.

We need to produce a paragraph 60-90 words in Chinese (since title is Chinese). Must include many English words as given. The required exact words include both Chinese and English. Must embed them naturally.

We need to count words. Chinese words count as words? Probably count tokens separated by spaces. We'll need to produce about 70 words (English words count). But we have many required words. Let's list required exact words:

That's 15 items. Some are multi-word phrases. We need to include them exactly as given. They contain spaces? For example “臺北市政府勞動局department” is one token (no space). “labor” separate. “taipei” separate. “city” separate. “government” separate. “居留證查詢專區” one token. “移工自113年1月1日起” one token. “得向移民署申請多次重入國許可” one token. “多國翻譯” one token. “惜福人力集團” one token. “專業仲介移工優質親切服務” one token. “4大外國人設立公司取得” one token. “台灣居留證” one token. “外籍人士募集專區” one token. “foodpanda外送夥伴官方平台” one token.

We must embed them naturally. That's a lot of tokens. The description 60-90 words: each token counts as a word? Probably each separated by space counts. So we need to produce about 70 words. But we have 15 required tokens, plus additional words to make sentence. That's okay.

We must not use markdown, no bold, no quotes. Just plain text.

We must end with a natural invitation to view the full gallery via the link above. So something like “請點擊上方連結查看完整圖庫”. That's a concrete invitation.

We must avoid AI-flag words: delve, tapestry, vibrant, testament, landscape, showcase, crucial, pivotal, additionally, moreover, furthermore, “it is important to note”, “serves as”, “boasts”. Avoid those.

No em/en dashes. Use commas.

No “not only X but Y”. No “At its core”. No forced groups of exactly three items.

Use “to” instead of “in order to”. Use “because” instead of “due to the fact that”. But we are writing Chinese; but we can include English words like “to” and “because”. But better to keep Chinese.

We must not use inflated importance, sales language, clichés. So keep factual.

We must vary sentence length naturally.

We must keep every claim supported by provided captions. The captions talk about Taipei City Government Labor Department, residency query area, migrant workers from 2024 Jan 1 can apply multiple re-entry permits, multi-language translation, 惜福人力集團 professional intermediary, 4 major foreign company establishment to get Taiwan residency, foreign talent recruitment area, foodpanda partner platform. So we can mention those.

We need to produce a paragraph in Chinese (maybe with some English words). Must include required exact words. Let's craft.

We need 60-90 words. Count words: We'll count tokens separated by spaces. Chinese characters without spaces count as one token? Usually word count for Chinese is ambiguous. But they likely count words separated by spaces. So we need to ensure we have about 70 tokens separated by spaces. We'll include required tokens each as separate token (they have no spaces inside). We'll add some Chinese words separated by spaces.

We must not use markdown. So plain text.

Let's draft:

“臺北市政府勞動局department labor taipei city government 居留證查詢專區 移工自113年1月1日起 得向移民署申請多次重入國許可 多國翻譯 惜福人力集團 專業仲介移工優質親切服務 4大外國人設立公司取得 台灣居留證 外籍人士募集專區 foodpanda外送夥伴官方平台 請點擊上方連結查看完整圖庫”

Now count tokens: Let's split by spaces.

Tokens:

1 臺北市政府勞動局department

2 labor

3 taipei

4 city

5 government

6 居留證查詢專區

7 移工自113年1月1日起

8 得向移民署申請多次重入國許可

9 多國翻譯

10 惜福人力集團

11 專業仲介移工優質親切服務

12 4大外國人設立公司取得

13 台灣居留證

14 外籍人士募集專區

15 foodpanda外送夥伴官方平台

16 請點擊上方連結查看完整圖庫

That's 16 tokens. Need 60-90 words. But maybe they count Chinese characters as words? But likely they count tokens. The instruction: “Write a short, enticing description (60-90 words)”. Usually words are separated by spaces. So we need about 60-90 words. Our draft only 16 words. Need to add more descriptive words, but still keep required tokens. We can add more Chinese words separated by spaces. But must keep each token separated by space. Could add many filler words like “這裡 提供 詳細 資訊 幫助 申請 人士 了解 流程” etc. Each separated by space counts as a word. But we must keep natural language. Could embed them in sentence but with spaces between each word. But Chinese normally not spaced. But we can artificially space each word. However they'd probably count Chinese characters as words? Hard.

Better to produce English words count. But the description must be in same language as title (Chinese). But we can include English words. The word count likely counts English words. But we can produce a mixture.

We need 60-90 words. Let's aim for ~70 English words. But we have many required tokens (some are Chinese). Could treat each required token as a word. But we need more words.

We can write a sentence in English but the language must be Chinese. Hmm.

The instruction: “Write the entire description in the same language as this title, regardless of the captions language

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