Mulki Mai Iya Karantawa Ta Na'ura

Ƙa'idojin mulki da na'urori za su iya ganowa da aiwatarwa: llms.txt, manifest ɗin /ai/, fayilolin manufa na /.well-known/, JSON Schema, token ɗin lasisi da aka sanya wa hannu, da tsarin rajistan bincike. Wannan shafin da kansa misali ne mai aiki.

Tambayoyin da ake Nazari

Daga robots.txt zuwa llms.txt zuwa manifest ɗin hakkoki

Ka'idojin gano manufofi na /.well-known/

JSON Schema a matsayin tsarin ƙayyadaddun bayanai na yau da kullum

Ikon Yin Audit: rajista, sigogi, tushen bayanai (provenance)

Takardun Bincike Masu Alaƙa

AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Matsayi na ƙayyadaddun bayanai mai iya karantawa ta na'ura don bayyana hakkokin abun ciki na AI da hanyoyin ba da lasisi — daga bincike na AI (crawling) da hakkokin abun ciki zuwa yanar gizon ilimi mai iya cinikayya ta na'ura.
AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS da AILP na bayyana izinin koyo na AI mai zurfin bayani fiye da bi-ne/a'a kawai — abin da AI zai iya koya, a wace zurfi, don wace amfani, a ƙarƙashin wace diyya.
Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Buɗaɗɗiya wanda ba a bayyana ba na karantawa a matsayin rashin tabbas na shari'a ga ayyukan AI kuma ana tsaftace shi; izini kaɗai mai tsari kuma mai iya karantawa ta na'ura ke sa abun ciki ya zama mai koyuwa da gaske.
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 Muhawara kan tattalin arziki-siyasa: darajar AI da ta kai tiriliyoyi tana haifar da matsin lamba na hanya mai halasci don ba da lasisin abun ciki a matakai da rabon amfanin jama'a — bayanai suna zama an rarraba su a matakai, ba tsada ba ne.
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 Ya kamata tattaunawa kan hakkokin AI ta fara ba da cikakken matsayin ɗan-adamtaka ba, sai dai da mafi ƙarancin kariyar ɗabi'a, ƙa'idojin hulɗa, da ƙa'idojin yaƙi da cin zarafi, muddin son-kan AI (subjectivity) bai tabbata ba tukuna.
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.