Ọchịchị Igwe Ọrụ Ga-Agụ
Iwu ọchịchị nke igwe ọrụ nwere ike ịchọta ma rụọ ọrụ: llms.txt, manifest /ai/, faịlụ amụma /.well-known/, JSON Schema, token ikike ọrụ e bipụtara aka na ha, na ụdịdị ndekọ nlele. Weebụ a n'onwe ya bụ ihe atụ na-arụ ọrụ.
Ajụjụ a na-amụ
01
Site na robots.txt ruo na llms.txt ruo na manifest ikike
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Omenala nchọpụta amụma /.well-known/
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JSON Schema dịka ụdị nkọwa ọkọlọtọ
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Enwere ike ịchọpụta ya: ndekọ, ụdịdị, mmalite
Akwụkwọ ọcha metụtara
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Ọkwa nkọwa igwe ọrụ ga-agụ maka ikwupụta ikike ọdịnaya AI na usoro ịnye ikike ọrụ — site na nchọgharị AI na ikike ọdịnaya ruo na weebụ amamihe igwe ọrụ nwere ike ịzụ ahịa na ya.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS na AILP na-egosipụta ikike ịmụta AI n'ụzọ zuru ezu karịa naanị eeh/mba — ihe AI nwere ike ịmụta, n'ogo ole, maka ojiji ole, n'okpuru ụgwọ ole.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Emeghe a na-akọwaghị apụta dịka enweghị nghọta n'iwu nye usoro ọrụ AI ma a na-ehichapụ ya; naanị ikike igwe ọrụ ga-agụ nke e mere protocol na-eme ka ọdịnaya bụrụ nke a pụrụ ịmụta n'ezie.
- 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 Arụmụka gbasara ndọrọ ndọrọ na akụ na ụba: ọnụ ahịa AI ruru ijeri ijeri na-akpata mmanye ikike maka ịnye ikike ọrụ n'ọkwa dị iche iche na ikesa uru nye ọha — data na-aghọ nke a hazichara n'ọkwa, ọ bụghị nke ọnụ ahịa ya dị elu.
- 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 Mkparịta ụka gbasara ikike AI kwesịrị ịmalite ọ bụghị site na ịnabata AI dịka mmadụ zuru oke kama site na nchebe omume kacha nta, ụkpụrụ mmekọrịta, na ụkpụrụ megide mkparị mgbe echiche nwe onwe AI ka na-amaghị ama.
- 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.