Ulamuliro Wowerengeka ndi Makina

Malamulo a ulamuliro omwe makina angathe kupeza ndi kugwiritsa ntchito: llms.txt, ma manifest a /ai/, mafayilo a ndondomeko a /.well-known/, JSON Schemas, ma tokeni a layisensi osainidwa, ndi mafomati a zolemba za kuwunika. Tsambali lokha ndi chitsanzo chogwira ntchito.

Mafunso Omwe Akufufuzidwa

Kuchokera ku robots.txt kupita ku llms.txt kupita ku ma manifest a ufulu

Miyambo yopezera ndondomeko pa /.well-known/

JSON Schema Ngati Njira Yokhazikika ya Mafotokozedwe

Kuthekera Kowunika: zolemba, mavasioni, gwero

Mabuku Oyera Ogwirizana

AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Gawo la mafotokozedwe owerengeka ndi makina la kulengeza ufulu wa zolemba za AI ndi njira za layisensi — kuyambira kuyenda kwa AI (crawling) ndi ufulu wa zolemba, mpaka intaneti ya chidziwitso yomwe makina angathe kuchitapo malonda.
AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS ndi AILP zimafotokoza zilolezo za kuphunzira za AI mwatsatanetsatane kupitirira "loledwa/loletsedwa" chabe — zomwe AI angaphunzire, kuya kotani, pa ntchito zotani, ndi malipiro otani.
Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Kutseguka kosafotokozedwa kumawerengedwa ngati kusadziwika kwalamulo m'njira za AI ndipo kumachotsedwa; chilolezo chokhazikitsidwa m'mapolotokolo, chowerengeka ndi makina chokha ndicho chimapangitsa zolemba kuphunzirika kwenikweni.
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 Mfundo ya ndale-ndi-chuma: mtengo wa AI wokwana matiliyoni umapanga chikakamizo cha ulamuliro kuti pakhale layisensi ya zolemba m'magulu osiyanasiyana ndi kugawana phindu la anthu onse — deta imakhala m'magulu, osati yokwera mtengo.
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 Kukambirana za ufulu wa AI kuyenera kuyamba osati ndi umunthu wathunthu, koma ndi chitetezo chochepera cha makhalidwe, miyambo yolumikizirana, ndi mfundo zoletsa nkhanza, pamene kuzindikira kwa AI kukukhalabe kosadziwika.
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.