Pulega e Mafai ona Faitauina e Masini
Tulafono pulega e mafai ona iloa ma fa'atinoina e masini: llms.txt, fa'amatalaga /ai/, faila faiga fa'avae /.well-known/, JSON Schemas, tokeni laisene sainia, ma foliga o fa'amaumauga iloiloga. O lenei 'upega tafa'ilagi lava ia o se fa'ata'ita'iga galue.
Fesili o lo'o Su'esu'eina
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Mai le robots.txt e o'o atu i le llms.txt ma fa'ailoaga aia tatau
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Faiga masani mo le su'eina o faiga fa'avae i lalo o le /.well-known/
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JSON Schema e Fai ma Foliga Fa'amatalaga Fa'atatau
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Mafai ona Iloiloina: fa'amaumauga, lomiga, puna
Pepa Pa'epa'e Feso'ota'i
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer O se vaega fa'amaonia e mafai ona faitauina e masini mo le fa'ailoaina o aia tatau i anotusi AI ma faiga laisene — mai le su'eina e le AI (AI crawling) ma aia tatau i anotusi, e o'o atu i se 'upega poto e mafai ona fa'atau fefa'ataua'iga e masini.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol O le AIRS ma le AILP e fa'aalia ai faatagaga a'oa'oina a le AI e sili atu ona loloto nai lo se filifiliga e lua fua fa'atagaina/le fa'atagaina — o le a le mea e mafai ona a'oa'oina e le AI, i le a le loloto, mo a fa'aoga, i lalo o le a le taui.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI O le matala e le'i fa'amatalaina e faitauina o se le mautonu fa'aletulafono e ala fa'agaoioi a le AI ma e aveesea ai; na'o le fa'atagaga fa'aprotokoloina, mafai ona faitauina e masini, e mafai ai ona a'oa'oina moni le anotusi.
- 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 O se finauga fa'aleaganu'u fa'apolokiki: o tau o le AI e faitau piliona miliona (trillion) e fatuina ai le uunaiga mo le fa'amaoniaina o laisene anotusi fa'avasega ma le fa'asoaina o aoga lautele — ua avea fa'amaumauga ma mea fa'avasega, ae le o se mea 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 ona amata le talanoaga i aia tatau a le AI e le o le tulaga atoa o le tagata ae o puipuiga fa'aleaganu'u aupito maualalo, tu masani o feso'ota'iga, ma mataupu fa'avae e fa'asaga i sauaga, a'o le'i mautinoa lelei le lagona patino o le 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.