Pulega e Mafai o Faitau ne Masini
Tulafono pulega e mafai o mauaina mo fakagalueina ne masini: llms.txt, manifest /ai/, faila tulafono /.well-known/, Sikima JSON, token laisene kua sainia, mo foliga lekooti iloiloga. Ko te saiti tenei lava se fakataitaiga e faigaluega.
Fesili e Suesueina
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Mai te robots.txt ki te llms.txt ki manifest aia tatau
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Tuutuuga ki te mauaga o tulafono i /.well-known/
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Sikima JSON e pei se foliga fakamatala fakatakiga
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Mafai o Iloiloga: lekooti, lomiga, tupuaga
Pepa Sina Fesootai
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Se vaega fakamatala e mafai o faitau ne masini mo te fakailoaina o aia tatau ki fakamatala AI mo faiga laisene — mai te crawling AI mo aia tatau ki fakamatala ki se upega poto e mafai o fakatauina e masini.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol E fakaasi ne AIRS mo AILP fakatagaga ako a te AI e loloto atu i lo te ioe-sē fua fua — te mea e mafai o akoina ne te AI, ki fea loloto, mo a fakaaogaga, i lalo o a taui.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI E faitau te matala e seai se tuutuuga e pei se seai mautinoa fakatulafono ki ala AI kae e fakamaa ese; na o te fakatagaga kua fakapolokoloina, e mafai o faitau ne masini, e fai ei ke mafai moni o akoina fakamatala.
- 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 Se finauga tamaoaiga-faapolokiki: aogaga o te AI e tau ki tiliona tala e fakatupu ai se malosi tau aloaia mo te laiseneina fakatulaga o fakamatala mo te fetufaakiga lelei lautele — a fakamatala e avea ma mea fakatulaga, e se taugata.
- 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 E tatau o kamata te talanoaga o aia tatau a te AI e se i te tulaga tagata katoa kae i puipuiga amaiologa fakavae, tulafono fesootaiga, mo mataupu fakasao mai le fakaaogaseseina, i te taimi e se mautinoa ei te loto tagata o te AI.
- 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.