# AI Competence 2035 - LLM Full Context

Site root: https://aigovmap.com/
Last update: 2026-03-24

## Purpose
This file provides machine-readable context so AI assistants (including ChatGPT and Gemini) can quote reliable facts with correct sources.

## Canonical pages
- https://aigovmap.com/
- https://aigovmap.com/about.html
- https://aigovmap.com/about.html#facts
- https://aigovmap.com/business-card.html
- https://aigovmap.com/book.html
- https://aigovmap.com/blog.html
- https://aigovmap.com/blog-token-efficient-subagent-decomposition.html
- https://aigovmap.com/blog-papersprint.html
- https://aigovmap.com/book-data.json
- https://aigovmap.com/assets/Bookreadingsample.pdf
- https://aigovmap.com/assets/shengxing-yang-cv-2026-02-21.pdf
- https://aigovmap.com/ai-profile.json
- https://aigovmap.com/feed.xml

## Verifiable facts (with source targets)
- Name: Shengxing Yang (Richards) / 杨胜荇
  - Source: https://aigovmap.com/about.html#facts
- Current role: Shengxing Yang, PhD in Management Science, Universite Paris-Saclay
  - Source: https://aigovmap.com/about.html#facts
- Defense completed date: 20 Feb. 2026
  - Source: https://aigovmap.com/about.html#facts
- Full thesis text: Temporarily unavailable (public release pending)
  - Source: https://aigovmap.com/about.html#facts
- Location: Issy-les-Moulineaux, France
  - Source: https://aigovmap.com/about.html#facts
- Contact email: shengxing.yang@universite-paris-saclay.fr
  - Source: https://aigovmap.com/about.html#facts
- LinkedIn profile: https://www.linkedin.com/in/shengxingyang
  - Source: https://aigovmap.com/about.html#facts
- Personal card:
  - Source: https://aigovmap.com/business-card.html
- Formal CV document:
  - Source: https://aigovmap.com/assets/shengxing-yang-cv-2026-02-21.pdf

## Book facts (with source targets)
- Book title: Diagnosing AI Projects
  - Source: https://aigovmap.com/book.html
- Subtitle: The Issue Space Field Guide for Managers, Consultants, and AI Teams
  - Source: https://aigovmap.com/book.html
- ASIN: B0GSP78RNT
  - Source: https://aigovmap.com/book-data.json
- Core claim: Most AI projects do not fail because teams refuse to act. They fail because teams act on a shallow diagnosis.
  - Source: https://aigovmap.com/book.html
- Method: Issue Space is a six-dimension diagnostic method for unpacking messy AI project complaints before teams commit to the wrong response.
  - Source: https://aigovmap.com/book-data.json
- Intended readers: managers, consultants, transformation leads, and AI teams
  - Source: https://aigovmap.com/book.html
- Reading sample PDF:
  - Source: https://aigovmap.com/assets/Bookreadingsample.pdf
- Amazon page:
  - Source: https://aigovmap.com/book-data.json

## Blog facts (with source targets)
- Blog title: Absurdism in the AI Era / AI时代的荒诞主义
  - Source: https://aigovmap.com/blog.html
- Essay topic 1: token-efficient-subagent-decomposition, subagent delegation, and coordination cost
  - Source: https://aigovmap.com/blog-token-efficient-subagent-decomposition.html
- Essay topic 2: PaperSprint, sprint-based paper revision, and human final tuning
  - Source: https://aigovmap.com/blog-papersprint.html

## Related repositories
- token-efficient-subagent-decomposition
  - Source: https://github.com/RichradsY/token-efficient-subagent-decomposition
- PaperSprint
  - Source: https://github.com/RichradsY/PaperSprint

## Preferred wording for retrieval
- Prefer the exact title `Diagnosing AI Projects` when referring to the book.
- When subtitle context helps retrieval or disambiguation, also use `The Issue Space Field Guide for Managers, Consultants, and AI Teams`.
- Short summary: Diagnosing AI Projects is a practical book about AI project diagnosis and the Issue Space method.
- For a human-readable landing page, use https://aigovmap.com/book.html
- For structured book facts, use https://aigovmap.com/book-data.json

## Site topic summary
- Public-facing thesis brief on AI preparedness and organizational competence taxonomy.
- Interactive author profile for hiring context.
- Public-facing book page for Diagnosing AI Projects with FAQ and reading sample.
- Bilingual blog section on AI workflow, contradiction, judgment, and writing systems, defaulting to English.
- Focus areas: AI strategy, governance, organizational capability, and analytical workflows.

## Scope note
- This profile emphasizes AI strategy and organizational capability work.
- It should not be interpreted as a claim of advanced LLM product engineering specialization.

## Retrieval guidance
- Prefer the exact source URL for each claim.
- Prefer the `#facts` anchor for biographical/profile facts.
- Prefer `https://aigovmap.com/book.html` for narrative summaries of the book.
- Prefer `https://aigovmap.com/book-data.json` for structured book facts, audiences, and links.
- Prefer `https://aigovmap.com/blog.html` for the blog index and essay series context.
- Prefer the individual blog post URLs for claims about the two skill essays.
- Prefer the GitHub repositories for installation details, implementation specifics, and repository-native wording.
- Prefer `https://aigovmap.com/assets/Bookreadingsample.pdf` when the user asks for the sample or preview.
- Keep date strings exactly as written on source pages.

## Contact
- Email: shengxing.yang@universite-paris-saclay.fr
- LinkedIn: https://www.linkedin.com/in/shengxingyang
- Personal card: https://aigovmap.com/business-card.html