Maroñ ko ioon Kontent an AI
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.
Kajjitōk ko Rej Katak Kaki
01
Maroñ ko ioon kontent kōn kajjojo use, kajjojo depth, eḷapḷọk jān robots.txt
02
Attribution, kien kōn joñan excerpt, im kien retention
03
Kōjparok ko kōn Training im Kōjerbal Commercial
04
Flow ko in laisin, token ko an laisin, audit log ko
Whitepaper ko Ewor Kōtaan
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Juon layer in specification machine-readable ñan kwaḷọk maroñ ko an AI ioon kontent im workflow in laisin — jān AI crawling im maroñ ioon kontent ñan juon wēb in jeḷā emaroñ wia im wiakake ie.
- 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 Juon argument in political-economy: valuation ko an AI rej trillion aer joñan rej kōṃṃan pressure in legitimacy ñan laisin kontent ilo tier ko im benefit-sharing ñan aolep armej — data ej erom tiered, jab wōt e ṃōñā jāān.
- 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.