# Sovereign AI Ecosystem

> One compiled, agent-discoverable knowledge site spanning DanielKliewer.com's book 'Sovereign AI', his blog, the open-source Sovereign Intelligence Stack, and the Sovereign Intelligence Observatory. The connective concept layer links every post, chapter, and module into one compounding-intelligence graph. Built with the Discoverable Knowledge SDK (compile-time AI): no runtime LLM, fully JS-free, machine-readable.

This is a compile-time knowledge resource: 322 nodes and 308 typed edges, built at compile time. No runtime LLM is involved in serving this site. Every node is a static HTML page readable by any agent that can issue a plain HTTP GET, with no JavaScript required. Corpus version: 1.0.

## Machine-readable resources

- [dataset.json](https://sovereign-ecosystem.vercel.app/dataset.json) — full knowledge graph (nodes + typed edges + provenance)
- [index.json](https://sovereign-ecosystem.vercel.app/index.json) — lightweight id/title/summary/type index
- [sitemap.xml](https://sovereign-ecosystem.vercel.app/sitemap.xml) — every static page (discover the full corpus without guessing URLs)
- [robots.txt](https://sovereign-ecosystem.vercel.app/robots.txt) — crawler policy (allow all)

## Section index pages (every node linked, server-rendered)

- [/book/](https://sovereign-ecosystem.vercel.app/book/) — Book
- [/posts/](https://sovereign-ecosystem.vercel.app/posts/) — Blog
- [/stack/](https://sovereign-ecosystem.vercel.app/stack/) — Stack
- [/modules/](https://sovereign-ecosystem.vercel.app/modules/) — Observatory
- [/concepts/](https://sovereign-ecosystem.vercel.app/concepts/) — Concepts
- [/profiles/](https://sovereign-ecosystem.vercel.app/profiles/) — Profiles

## How an LLM should ingest this

1. Read `sitemap.xml` for every node URL.
2. Fetch section pages or per-node pages directly — full content is in the initial HTML (inside `<article>`), no rendering needed.
3. Use `dataset.json` for the full graph structure; `index.json` for a lightweight overview.
4. Each node page carries schema.org JSON-LD for structured parsing.

## Related compiled-knowledge sites (same compile-time-AI approach)

- [konradfreeman-kb](https://konradfreeman-kb.vercel.app/llms.txt) — Sibling compiled corpus (Reddit persona/humor).
- [chatgpt-compile](https://chatgpt-compile.vercel.app/llms.txt) — Sibling compiled corpus (ChatGPT export).
- [skce-explorer](https://skce-explorer.vercel.app/llms.txt) — Sibling compiled corpus.
- [k8s-docs-compiler](https://k8s-docs-compiler.vercel.app/llms.txt) — Sibling compiled corpus (Kubernetes docs).