Makinanakan Ullañapataki Apnaqäwi
Apnaqäwi arunaka, makinanakax jikxataña ukat phuqhayaña atipxi: llms.txt, /ai/ manifestonaka, /.well-known/ política archivonaka, JSON Esquemanaka, firmata licencia tokennaka, ukat auditoría registro formanaka. Aka sitiox jupakiw luräwi uñacht'awi tukuski.
Yatiqaski jisktʼanaka
01
robots.txt ukatpach llms.txtkama derechonakan manifestonakakama
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/.well-known/ tuqin política jikxatañ costumbrenaka
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JSON Esquema normativo especificación forma jinaki
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Auditoría lurasiña: registronaka, versionanaka, mistuwipa
Ukhamarak bijaqu qillqatanaka
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Makinanakan ullañapataki especificación capawa, IA contenido derechonak ukat licenciamiento sarawinak yatiyañataki — IA rastreo ukat contenido derechonakatpach, makinanakan transacción lurañ atipiri yatiña internetakama.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS ukat AILP ukanakax jach'a amuyuni IA yatiqañ permisonak uñacht'ayapxi, «iyawsäwa» ukat «jan iyawsäwa» ukat mä ch'ulla pata jan uñjasa — kunas IA yatiqxañapa, qawqha jach'aru, kuna apnaqañataki, ukat kunjam kutt'ayawimpi.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Jan qhanañchat jist'arata kankañax IA sarawinakataki leyi tuqit jan yatit jinaki ullataki, ukat jitheqtayataki; protocolomp, makinanakan ullañapataki permisokiwa contenido chiqapuni yatiqxañapataki tukuyi.
- 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 Política-económica amuyuwa: waranqa waranqa millón dólar IA valoranakax patamp jaljata contenido licenciamientotaki ukat taqi jaqin askipataki presión legitimidad apani — datunakax patamp jaljatawa tukuski, janiw chaninchata.
- 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 derechonak tuqit parlañax janiw phuqhata jaqi kankañampi qalltañapäkiti, jan ukasti pisi ética jark'aqäwinakampi, apnaqasiñ arunakampi, ukat jan walinchañ contra amtanakampi qalltañapawa, IA subjetividad jan yatit saraskkama.
- 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.