Layibrari ya Tidokhumente
Tiwhitipeya na Tidokhumente
Tidrafiti ta ndzavisiso to helela leti humesiweke eka sayiti leyi. Yin'wana ni yin'wana i dokhumente leyi vekiweke hi tin'hweti, yi na xiyimo, siku, na nkongomiso wa ku tshaha; matsalwa ma humesiwa hi ririmi ra wona ra xiviri ehansi ka CC BY 4.0.
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.
Hlaya PhephaAI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol
AIRS na AILP swi kombisa mpfumelelo wo dyondza wa AI lowu enteke ku tlula "pfumela/ala" ntsena — leswi AI yi nga swi dyondzaka, hi vun'we byihi, eka mintirho yihi, ni nkhokhelo wihi.
Hlaya PhephaProtocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI
Ku pfuleka loku nga hlamuseriwangiki ku hlayiwa tanihi ku nga tiyisiseki ka nawu eka swiendlo swa AI naswona ku basisiwa; mpfumelelo lowu tirhisiwaka hi matšhini ntsena, lowu vekiweke hi tin'hweti, hi wona lowu endlaka kontenti yi dyondzeka hakunene.
Hlaya PhephaAICL-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.
Hlaya PhephaAI 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.
Hlaya PhephaFrom Crawler Rights to Agent Authority: Extending AGIRIGHT from Content Governance to Protocol-Native AI Agents
The bridge paper for AGIRIGHT's Agent & Protocol Rights family: why content permission, action permission, delegated authority, and inspection rights must be four separately-evaluated axes, not one.
Hlaya PhephaAARS v0.1 — Agent Action Rights Spectrum
The full protocol draft behind the AARS page: an A0–A7 human-readable spectrum, a machine-readable action vector, and rules for composition risk and capability amplification.
Hlaya PhephaAADP v0.1 — Agent Authority & Delegation Protocol
The full protocol draft behind the AADP page: principal ≠ actor, delegation that can only narrow, and an inspection ceiling that bounds how much a verifier may demand.
Hlaya PhephaAGIRight.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.
Hlaya PhephaThe Minimum Ethical Protection Proposition for AI
Bulaho ra timfanelo ta AI a byi fanele ku sungula hi vumunhu byi helela, kambe hi swivikelo swa le hansi swa mahanyelo, milawu ya vuxaka, na misinya ya ku alela vukanganyisi, loko vutivi bya AI byi ha ri xiyimo xo nga tiyisiseki.
Hlaya PhephaARHG — 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.
Hlaya PhephaKu Tshaha
AGIRight.org, “Vito ra Dokhumente”, vhesheni, https://agiright.org/docs/whitepapers/<slug>