Gavenens We Masin i Save Ridim

Ol rul blong gavenens we masin i save faenemaot mo ranem: llms.txt, ol manifest blong /ai/, ol polisi file blong /.well-known/, JSON Schema, ol token blong laesens we oli saenem, mo ol fomat blong rekod blong odit. Sait ia hem wan eksampol we i wok stret.

Ol Kwestin We Oli Stadi Long Hem

Stat Long robots.txt i Go Long llms.txt i Go Long Ol Manifest Blong Raet

Ol rul blong faenemaot polisi long /.well-known/

JSON Schema Olsem Nomatif Fomat Blong Spesifikesen

Fasin Blong Save Odit: rekod, vesin, wea infomesen i kamaot

Ol Waet Pepa We i Rilevan

AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Wan level blong spesifikesen we masin i save ridim, blong talemaot ol raet blong AI kontent mo ol wokflo blong laesensing — stat long crawling blong AI mo raet blong kontent i go kasem wan Wep blong save we masin i save mekem transaksen long hem.
AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS mo AILP oli talemaot ol pemisen blong AI blong lanem save wetem defren nuans, i no jas yes/no — wanem AI i save lanem, kasem wanem dip, blong wanem yusum, mo aninit long wanem pemen.
Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Openes we i no difaen i ridim olsem legol antaseten long ol paeplaen blong AI mo oli klinim hem aot; jas protokolaesd, pemisen we masin i save ridim, i mekem kontent i save lan long hem trufala.
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 Wan agiumen blong politikol ekonomi: valu blong AI we i rijim trilion dola i mekem presa blong ledjitimesi long saed blong laesensing kontent long defren level mo seraot benefit long pablik — data i kam wetem defren level, i no jas kam save-praes.
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 Storian abaotem raet blong AI i sud stat, i no wetem fulwan pesonhud, be wetem minimom etikol protekson, norm blong intaraksen, mo prinsipol blong stopem abus, taem saedjektiviti blong AI i stap antaseten yet.
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.