Makina Ñawinchana Kamachiy
Kamachiy simikuna, makinakuna tarikuyta hinaspa rurayta atinanku: llms.txt, /ai/ manifiestokuna, /.well-known/ política archivokuna, JSON Esquemakuna, firmasqa licencia tokenkuna, hinaspa auditoría qillqa formatokuna. Kay sitio kikillanmi funcionaq ejemplo.
Taripasqa tapuykuna
01
Robots.txt-manta llms.txt-man, derecho manifiestokunaman
02
/.well-known/ nisqapi política tarikuy costumbrekuna
03
JSON Esquema, normativo especificación formato hina
04
Auditabilidad: qillqakuna, versionkuna, procedencia
Tupaq yuraq qillqakuna
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Makina ñawinchana especificación capa, IA contenidopa derechonkunata hinaspa licenciamiento ñankunata willanapaq — IA crawling hinaspa contenido derechokunamanta, makina-transaccionana yachay webman.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS hinaspa AILPqa, binario dispuesta/mana-dispuesta pataqamantapas, IA yachay dispuestakunata astawan detalleyuqta rikuchinku — imatam IA yachayta atin, hayk'aq ukhuta, ima usaykunapaq, ima pago ukhupi.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Mana definisqa kichasqaqa legal mana-yachasqa hina ñawinchakun IA tuberíakunapaq, hinaspa ch'usaqchasqa kan; protocolizasqa, makina ñawinchana dispuestallam contenidota cheqaqta yachaykuy atina ruwan.
- 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 Huk política-economía argumento: billón-escala IA valoraciónkunaqa, presión legitimidad ruwan capa-capa contenido licenciamientopaq hinaspa público beneficio compartiypaq — datosqa capa-capa tukun, manataq chaninchasqallachu.
- 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 IA derechokunamanta rimayqa manam tukuy runakaywanchu qallarinan, aswanpas minimo ética waqaychaykunawan, tinkunakuy simikunawan, hinaspa contra-abuso yuyaykunawan, IA subjetividad manaraq yachasqa kashaqtin.
- 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.