IA Contenido Derechonaka

What AI systems may do with content: read, summarize, transform, retrieve, train, commercialize, redistribute. The AICR ruleset and the AICL-C content-licensing layer make these rights declarable and transactable.

Yatiqaski jisktʼanaka

Sapa apnaqäwin, sapa jach'anïrin contenido permisonaka, robots.txt jitheqta

Atribución, apsu limitenaka, ukat imantañ arunaka

Yatichaña ukat comercial apnaqäwi reservanaka

Licenciamiento sarawinaka, licencia tokennaka, auditoría registronaka

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.
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.
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.
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.