Bokambami oyo Masini Ekoki Kotánga

Mibeko ya bokambami oyo bamasini ekoki komona mpe kosalela: llms.txt, ba-manifest ya /ai/, ba-fichier ya politiki ya /.well-known/, ba-schema ya JSON, ba-jeton ya lisansi oyo esignami, mpe ba-format ya mikanda ya audit. Site oyo yango moko ezali ndakisa oyo esalaka.

Mituna oyo Eyekolami

Kobanda na robots.txt tii na llms.txt tii na ba-manifest ya makoki

Momesano ya koluka ba-politiki na nzela ya /.well-known/

Schema ya JSON lokola format ya spesifikasyo oyo etindisami

Bokoki ya kotalama: mikanda, ba-version, esika eloko ewuti

Mikanda ya bolukiluki oyo ekangani

AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Niveau ya spesifikasyo oyo masini ekoki kotánga, mpo na kosakola makoki ya contenu ya AI mpe misala ya lisansi — kobanda na koleka-leka ya AI mpe makoki ya contenu tii na web ya boyebi oyo mombongo ekoki kosalema na masini.
AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS na AILP emonisaka ndingisa ya koyekola ya AI na bozindo koleka kaka "endimami/eboyami" — nini AI ekoki koyekola, na bozindo nini, mpo na misala nini, na se ya lifuta nini.
Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Bopolele oyo elimbolami te emonanaka lokola ntembe ya mibeko epai ya misala ya AI mpe elongolamaka; ndingisa kaka oyo ezali na protokolo mpe oyo masini ekoki kotánga nde ekomisaka contenu oyo ekoki koyekolama na solo.
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 Likanisi ya politiki-mbongo: motuya ya AI oyo ekoma na ba-trillion ekelaka mpasi ya bosembo mpo na lisansi ya contenu na ba-niveau mpe bokabola ya litomba na bato nyonso — ba-donnée ekoma na ba-niveau, ekomi te ntalo mingi.
From 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.
AARS 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.
AADP 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.
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.
The Minimum Ethical Protection Proposition for AI Lisolo ya makoki ya AI esengeli kobanda te na bomoto mobimba, kasi na bobateli ya etika ya se mingi, mibeko ya boyokani, mpe mitindo ya kobundisa mabe, ntango bomoto ya kati ya AI ezali nanu na ntembe.
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.