Tautaeka ae Kona ni Warekaki irouni Mesin
Tua n Tautaeka Aika a Kona ni Kunei ao ni Kakoroi Bukiia Mesin: llms.txt, /ai/ manifests, Files ni Policy i /.well-known/, JSON Schemas, Token n License Aika a Sign-aki, ao Format n Audit Log. Bon te Katoto ni Mwakuri te Website Aei i Bon Ngaia.
Titiraki Aika a Ukeukeaki
01
Man robots.txt Nakon llms.txt Nakon Manifest n Riai
02
Aro n Kuneaki Policy rinanon /.well-known/
03
JSON Schema Bwa te Format ni Baaire ae Normative
04
Auditability: Log, Version, ao Provenance
Boki n Ukeuke Aika a Irekereke
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Te Newe n Baaire ae Kona ni Warekaki irouni Mesin ibukin Kaotan Riain te AI n te Kanoa ao Waakin te Licensing — man Crawling irouni AI ao Riai n Kanoa nakon te Web n Ataibwai ae Kona ni Karaoaki Bitineti Mesin nako Iai.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol A Kaotii AIRS ao AILP Kariaia n Reirei ibukin te AI aika a Nuanced riki nakoni tii Kariaiakaki/Rawaki — baike e Kona n Reireiaki te AI, n Rabwatan Tera, ibukin Kabonganaki Raa, ao i Aan Compensation ae Raa.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Te Kaukaki ae Akea Katereterena E Wareaki Bwa te Akea-Kakoauaki n te Tua Nakoni Pipelines n AI Ao E Kaakeaki; Tii te Kariaia ae Protocolized Ao E Kona ni Warekaki irouni Mesin E Karaoa te Kanoa Bwa E Koaua Kona ni Reireiakinaki.
- 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 Te Argument n Political-Economy: Kabooan AI aika a boo n Trillion a karika Kabaebaeaki ni Legitimacy ibukin Licensing n Kanoa ae Tiered ao Tibwatibwaan Booboo nakoia Aomata ni Kabaneia — e riki Data bwa Tiered, tiaki bwa e Rangi ni Kumi.
- 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 riai n aki moanaki Maroroakinan Riain te AI man Full Personhood, ma man Kawakinaki aika Ethical aika Kimototo, Tuan Itaramwae, ao Booto ni Kaainakin te Bureburea, ngkai e teimatoa n Akea Kakoauaki-na Subjectivity n 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.