Why AI-native
- Dual surfaces from publish time: identical human HTML + machine-readable AI units generated together.
- Liftable units: each article decomposes into llm.md, answer.json, facts.json, schema.jsonld, citation.txt.
- Global discovery: discoverable and callable via llms.txt, ai-index.json, an MCP endpoint, and IndexNow.
- Built-in evidence: source/confidence/last_verified on each claim.
Difference from after-the-fact conversion
Ordinary outlets process content for AI after publishing. For AuthonNews, publishing itself is designed for both humans and AI — that is what makes it AI-native.