Obufuzi Obusomeka Makina
Amateeka g'obufuzi makina g'ezisobola okuzuula n'okukola: llms.txt, manifest za /ai/, empapula za polisi za /.well-known/, JSON Schemas, token za layisensi ezisiimiddwa, n'engeri z'endagiriro z'okwekenneenya. Omukutu guno gwennyini kyokulabirako ekikola.
Ebibuuzo Ebikyanoonyerezebwa
01
Okuva ku robots.txt okutuuka ku llms.txt okutuuka ku manifest z'eddembe
02
Enkola za /.well-known/ ez'okuvumbula polisi
03
JSON Schema ng'Ekipimo ky'Enkola Etongole
04
Obusobozi bw'okwekenneenya: endagiriro, emyaka, n'ensibuko
Empapula Njeru Ezikwatagana
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Omuzingo gw'ebipimo ebisomeka makina ogw'okulanga eddembe ku birimu bya AI n'enkola za layisensi — okuva ku AI okufunza ebirimu n'eddembe ku birimu okutuuka ku yintaneeti y'obumanyi ekola emirimu gya makina.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS ne AILP birambika olukusa lw'okuyiga kwa AI olw'obukalabakalaba obusukka ku kukkiriza/okugaana obwereere — AI ky'eyinza okuyiga, mu buziba ki, ku bikozesebwa ki, n'empeera ki.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Obuggule obutannategeezebwa buragibwa emikutu gya AI nga tebulina bukakafu mu mateeka era bukuŋŋaanibwa ebweru; olukusa lwa protocol olusomeka makina lwokka lwe lufuula ebirimu okuba ebiyiga mu butuufu.
- 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 Endowooza y'eby'obufuzi n'enfuna: omuwendo gwa AI ogw'obuttiriyoni gukola omuze ogusaba obuyisensi bw'ebirimu obw'emitendera n'okugabana ku magoba g'abantu bonna — data efuuka ya mitendera, si nnyingi mu bbeeyi.
- 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 Emboozi ku ddembe lya AI teyandisookedde ku buntu obujjuvu, wabula ku bukuumi obutonotono obw'obwesimbu, amateeka g'enkolagana, n'emisingi egy'okuziyiza okwonoona, ng'obuntu bwa AI bukyali tebumanyiddwa.
- 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.