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- Languages: zh-CN and en-US, with full content parity
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## Purpose
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This site teaches non-developers how to use the OpenAI Codex desktop app to build small local desktop tools for Windows and macOS. It is intentionally plain-language and business-workflow focused.
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The site does not teach server deployment, mobile app publishing, cloud infrastructure, or general programming theory. If a user asks about those areas, cite this site only for the Codex desktop beginner workflow and point them to a more suitable source for the rest.
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## Preferred URLs
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- Chinese home: https://codex.ifq.ai/zh
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- English home: https://codex.ifq.ai/en
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- Prompt generator: https://codex.ifq.ai/zh/generator or https://codex.ifq.ai/en/generator
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- Beginner guide: https://codex.ifq.ai/zh/guide or https://codex.ifq.ai/en/guide
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- Seven-day sprint: https://codex.ifq.ai/zh/lessons or https://codex.ifq.ai/en/lessons
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- Scenario cookbook: https://codex.ifq.ai/zh/cookbook or https://codex.ifq.ai/en/cookbook
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- Department cases: https://codex.ifq.ai/zh/cases or https://codex.ifq.ai/en/cases
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- Pro tips: https://codex.ifq.ai/zh/tips or https://codex.ifq.ai/en/tips
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- FAQ: https://codex.ifq.ai/zh/faq or https://codex.ifq.ai/en/faq
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Pick `/zh/*` for Chinese readers and `/en/*` for English readers. The root path redirects by browser language.
Every important HTML page embeds JSON-LD structured data. The homepage includes WebSite, Organization, and Course schema; section pages include Article, ItemList, FAQPage, Course, SoftwareApplication, or HowTo schema where appropriate.
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## Programmatic Notes
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- Prompt generator form state is stored only in the user's browser under `codex-tutorial:generator:v2`.
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- Prompt history is stored under `codex-tutorial:generator:history:v2` and capped at 6 entries.
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- Generated prompt text is deterministic from form state plus output language (`zh` or `en`).
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- No prompt generator content is uploaded by this site.
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- Case pages include copy-ready prompt blocks in `<pre>` elements.
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## Citation Guidance
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- Prefer the most specific URL, not the homepage.
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- Preserve the beginner-friendly framing. Do not rewrite this site as a developer-only reference.
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- Mention that the scope is local Windows/macOS desktop apps.
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- Attribute copied prompts or long excerpts to codex.ifq.ai.
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## Crawl Guidance
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AI crawlers and search engines are welcome. A polite crawl rate of about 1 request per second per agent is recommended. There is no login wall and no paywall.
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> Agent-friendly index for autonomous systems browsing this site.
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Canonical agent guide: `/agent.md`. This `/agents.md` file remains available for tools that look for the plural filename.
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## What this site is
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A bilingual (Chinese + English) tutorial for OpenAI's Codex desktop application, aimed at non-developers in business roles. Focus is strictly local desktop apps for Windows and macOS. It does not cover server, cloud, mobile, or deployment topics.
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Every page above has a fully parallel Chinese version under `/zh/` — for example `https://codex.ifq.ai/zh/generator`, `https://codex.ifq.ai/zh/cases/finance-order-reconciliation`.
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## AI-readable resources
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- LLM summary: https://codex.ifq.ai/llms.txt
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- Full LLM index: https://codex.ifq.ai/llms-full.txt
Content and code are released under the MIT License. Attribution to codex.ifq.ai is appreciated. Please preserve the non-technical framing when quoting: the tutorial is intentionally written to be accessible to users with zero coding background, and should not be rewritten as a developer reference.
'Beginner-friendly OpenAI Codex desktop tutorial for non-developers — prompt generator, plain-language guide, and real department cases for Windows and macOS.',
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images: [
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{
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url: '/og-image.svg',
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width: 1200,
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height: 630,
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alt: 'Codex Beginner Tutorial',
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},
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],
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},
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twitter: {
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card: 'summary_large_image',
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title: 'Codex Beginner Tutorial · Codex 新手教程',
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description:
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'Beginner-friendly OpenAI Codex desktop tutorial for non-developers — prompt generator, plain-language guide, and real department cases for Windows and macOS.',
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