A Rights er a AI Content
What AI systems may do with content: read, summarize, transform, retrieve, train, commercialize, redistribute. The AICR ruleset and the AICL-C content-licensing layer make these rights declarable and transactable.
Ker el mesuub
01
Per-use, per-depth content permissions el meklou er a robots.txt
02
Attribution, telbilel er a excerpt, me a llechul er a retention
03
Klengull er a training me a commercial use
04
A Licensing Flows, License Tokens, me a Audit Logs
Whitepapers el oltirakl
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer A machine-readable specification layer el kirel a olecha a AI content rights me a licensing workflows — mo er a AI crawling me a content rights el mo er a klemedengei el web el sebechel a machine transactions.
- AICL-I v0.2: AI Ingestion & Capability Layer A five-component website architecture — manifest, corpus, capability, runtime control, governance — that lets AI, agents, and crawlers correctly ingest, invoke, and verify a site's knowledge and capabilities within explicit content, action, and authority boundaries.
- AI Content Payment and the Network Democratic Economy A political-economy el cheldecheduch: a AI valuations el trillion a meruul a klisiich el kirel a tiered content licensing me a public benefit-sharing — a data a mo tiered, diak el kesai el oi.
- AGIRight.org Technical White Paper v0.2 — From AI Content Governance to Protocol-Native Agent & Authority Rights The site's current architecture document: six protocol drafts across two families (content & learning, agent & protocol rights), an integration layer, and an ethical-protection layer, plus the acceptance criteria this site update was built against.
- ARHG — Agent-Readable Hyperlink Graph and Permissioned Web Control Plane A machine-readable navigation graph alongside the ordinary site, answering what AICR/AILP and AARS/AADP both assume: can this resource even be found, by whom, and where does it lead.