Veiliutaki Vakamasini

Na lawa ni veiliutaki era rawa ni kunei ka cakacaka taki ena masini: llms.txt, manifest /ai/, file ni policy /.well-known/, JSON Schema, token ni laiseni e sainitaki, kei na ivakarau ni dikevi. Na vasite oqo sa dua sara na ivakaraitaki e cakacaka.

Taro era Dikevi Tiko

Mai na robots.txt ki na llms.txt ki na manifest ni dodonu

Ivakarau ni kunea na policy ena /.well-known/

JSON Schema me iVakarau ni Ivakamacala Vakadodonu

Rawa ni Dikevi: ivakarau ni dikevi, version, kei na itukutuku ni ivu

Ivola Vulavula Veiwekani

AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer E dua na tikina ni ivakamacala vakamasini me vakatakila kina na dodonu ni iyaya ni AI kei na ivakarau ni laiseni — mai na crawling ni AI kei na dodonu ni iyaya, ki na web ni kila e rawa ni veivoli kina vakamasini.
AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol Na AIRS kei na AILP e vakaraitaka na veidusimaki ni vuli ni AI e uasivi cake mai na io/sega ga — na ka e rawa ni vuli mai kina na AI, ena vakalomani cava, me baleta na vakayagataki cava, kei na isau cava.
Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Na dodola e sega ni vakadodonutaki e wilikitaki me sega ni macala vakalawa ena veisala ni AI ka biu tani; na vakadonuya vakaprotocol, e rawa ni wilikitaki ena masini, ga e vakarawarawataka na iyaya me vuli titobu mai kina dina.
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 E dua na veivosaki me baleta na political economy: na kena vakayagataki na trilioni dola ki na AI e vakavuna e dua na vakamalua vakadonuya me baleta na laiseni ni iyaya vakalolo kei na wasei ni yaga vakalewenivanua — na itukutuku e vakatolotolotaki, sega ni nodai levu ga na isau.
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 Na veivosaki ni dodonu ni AI me sega ni tekivu ena tamata dina, ia me tekivu ena taqomaki vakaitovo vakalailai, na lawa ni veimaliwai, kei na ivakavuvuli ni saqata ni veivakacacani, ni se sega ni macala tu na vakaitamata ni 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.