Kāwanatanga Pānui-Mīhini
He ture kāwanatanga e taea ana e ngā mīhini te kite, te whakahaere hoki: llms.txt, ngā manifest /ai/, ngā kōnae kaupapa here /.well-known/, JSON Schemas, ngā tohu raihana kua hainatia, me ngā hōputu rārangi arotake. Ko tēnei paetukutuku tonu tētahi tauira e mahi ana.
Ngā Pātai e Rangahauhia Ana
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Mai i te robots.txt, ki te llms.txt, ki ngā manifest tika
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Ngā tikanga kimi kaupapa here mō /.well-known/
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Ko JSON Schema hei hōputu tautuhinga paerewa
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Te Taea-te-Arotake: ngā rārangi, ngā putanga, te pūtake
Ngā Pukapuka Mā e Pā Ana
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer He papa tautuhinga pānui-mīhini hei whakapuaki i ngā tika ihirangi AI me ngā tukanga raihanatanga — mai i te kohi AI me ngā tika ihirangi, tae noa ki tētahi ipurangi mātauranga e taea ana e te mīhini te whakawhitiwhiti utu.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol Ka whakaputa a AIRS rāua ko AILP i ngā whakaaetanga ako AI whai tikanga hōhonu, kaua ko te mea-rua whakaae/kore-whakaae anake — he aha te mea ka taea e te AI te ako, ki tēhea hōhonutanga, mō ēhea whakamahinga, i raro i tēhea utu.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Ki ngā tukanga AI, he rangirua ā-ture te āhua tuwhera-kāore-i-tautuhia, nā reira ka whakawāteahia; mā te whakaaetanga kua whakakawatia, kua pānui-mīhini anake e tino ako ai te ihirangi.
- 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 He tautohe ā-ōhanga-ā-tōrangapū: nā ngā uara AI tāera-taera (miriona miriona tāra) i hanga he pēhitanga mana mō te raihanatanga ihirangi tāera, me te tuari painga ā-iwi — ka noho ngā raraunga hei mea tāera, kaua hei mea utu nui.
- 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 Me tīmata te matapaki mō ngā tika AI, ehara i te tangata-ā-ture katoa, engari ki ngā whakamarumaru matatika iti rawa, ngā tikanga tauwhitiwhiti, me ngā mātāpono ārai-tūkino, i te mea kei te rangirua tonu te pūtaketanga-ā-tangata 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.