Gavenens Wea Masin Save Readim

Olketa rul blong gavenens wea masin save faendem an ranim: llms.txt, manifest blong /ai/, olketa polisi file blong /.well-known/, JSON Skema, token blong laesens wea saenim finis, an fomat blong rekod blong odit. Sait ia hem seleva i wan eksampol wea i wok trufala.

Olketa Kwestin Wea Oli Stadim

Statim long robots.txt, i go long llms.txt, i go long manifest blong raet

Olketa fasin blong faendemaot polisi long /.well-known/

JSON Skema Olsem Fomat Blong Spesifikesen Wea I Standad

Oditabiliti: rekod, vesin, wea hem i kamaot from

Olketa Waet Pepa Wea Rilevan

AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Wan level blong spesifikesen wea masin save readim, blong talemaot olketa raet blong AI kontent an olketa wokflo blong laesensing — statim long AI crawling an raet blong kontent, i go kasem wan Wep blong save wea masin save mekem transaksen long hem.
AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS an AILP oli soem olketa pemisen blong AI blong lanem save wetem moa fain-fain minim, i winim jas oke/no-oke — wanem AI save lanem, kasem wanem dip, blong wanem yusum, aninit long wanem pemen.
Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Openes wea no difaenim klia, oli readim olsem legol antaseten long olketa AI paeplaen, an oli klinim aotem; pemisen wea protocolized an masin save readim nomoa, i mekem kontent save lanem save 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 wea i rijim trilion dola i mekem presa blong ledjitimesi long saed blong laesensing kontent long defren level an seraotem benefit long pablik — data i kam wetem defren level, i no jas kam moa 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 statim, i no witim fulwan pesonhud, bat witim minimom etikol protekson, olketa norm blong intaraksen, an olketa prinsipol blong stopem abus, taem sabjektiviti 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.