Timfanelo ta Kontenti ya 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.
Swivutiso leswi Lavisisiwaka
01
Mpfumelelo wa kontenti hi ntirho, hi vun'we, ku tlula robots.txt
02
Ku boxa xihlovo, minkoka ya swiphemu leswi tekiweke, na milawu ya ku hlayisa
03
Ku Vekiwa ka Dyondziso na Mabindzu
04
Swifambiselo swa tilayisense, tokheni ta layisense, na rhekhodo ra audit
Tiwhitipeya leti Fambelanaka
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Xiphandzo xa timhaka to boxiwa leti hlayekaka hi matšhini leswaku ku boxiwa timfanelo ta kontenti ya AI na mintirho ya ku nyika tilayisense — ku sukela eka ku hlengeletiwa ka vuxokoxoko hi AI (crawling) na timfanelo ta kontenti ku fikela eka wepu ya vutivi leyi endlaka mabindzu hi matšhini.
- 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 Xiphiqo xa ikhonomi-polotiki: ntikelo wa nkoka wa AI lowu ringanaka trillion wu tisa nkarhimeto wa vululami leswaku ku va ni tinlayisense ta swiyenge swa kontenti ni ku avelana ka vuavanyisi bya vaaki — vuxokoxoko byi hundzuka byo va ni swiyenge, ku nga ri byo durha.
- 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.