Ditshwanelo 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 di Ithutwang
01
Ditumelelo tsa diteng ka tiriso, ka boteng, kwa ntle ga robots.txt
02
Go Supa Motswedi, melero ya diqhaba, le melawana ya go boloka
03
Go Beela Thupelo le Tiriso ya Kgwebo Thoko
04
Dithulaganyo tsa Kabo ya Dilaesense, ditokene tsa laesense, direkoto tsa tlhotlhomiso
Dipampiri tse Tshweu tse di Amanang
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Maleba a ditlhalosetso tse di balwang ke metšhini a go tsibosa ditshwanelo tsa diteng tsa AI le dithulaganyo tsa kabo ya dilaesense — go tswa mo go hulareng ga AI le ditshwanelo tsa diteng go ya go enthanete ya kitso e e ka dirisiwang mo dithekesekeng ka metšhini.
- 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 Kganetsanyo ya polotiki-ikonomi: ditekanyo tsa boleng jwa AI tse di lekanang dimilionemilione (trillion) di tlisa kgatelelo ya go batla go dumelesega mo go kaboleng dilaesense tsa diteng ka maemo le go abelana melemo ya setšhaba — data e nna e e kaoletsweng ka maemo, e seng e e turang.
- 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.