Litokelo tsa Diteng tsa 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.
Dipotso tse Ithutwang
01
Ditumello tsa Diteng ka Tshebediso, ka Botebo, ho Feta robots.txt
02
Polelo ya Mohlodi, Meeli ya Diqotswa, le Melawana ya Poloko
03
Koetliso le Ditshireletso tsa Tshebediso ya Kgwebo
04
Metsamao ya Dilaesense, Di-token tsa Laesense, Direkoto tsa Tlhahlobo
Dipampiri tse Tšweu tse Amanang le Sena
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Lera la ditlhaloso tse balehang ke mochini bakeng sa ho hlahisa litokelo tsa diteng tsa AI le mekgwa ya tshebetso ya dilaesense — ho tloha ho kenya AI diteng (crawling) le litokelo tsa diteng ho ea Webong ya tsebo e ka etsang dikgwebo ka mochini.
- 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 Ngangisano ya moruo-le-dipolotiki: boleng ba AI bo lekantsweng ka ditrilione bo baka kgatello ya bonnete bakeng sa dilaesense tsa diteng tse arotsweng ka mekgahlelo le ho arolelana melemo le sechaba — data e fetoha e arotsweng ka mekgahlelo, eseng e turang haholo.
- 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.