AI Nsɛm Hokwan
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.
Nsɛmmisa A Wɔresua Ho Adeɛ
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Nsɛm Ho Kwan A Ɛgyina Dwumadie Ne Emu Dɔ So, A Ɛkyɛn robots.txt
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Ɛfaso Kyerɛ, Nsɛm-twa Anohyeto, ne Nkoraeɛ Mmara
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Ntetee Ne Aguadi Mu Dwumadie A Wɔakora So
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Laesens Akwan, Laesens Token, Nsrahwɛ Nkrataa
Nkrataa Nhwehwɛmu A Ɛfa Ho
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Nkyerɛkyerɛmu mpaemu a mfiri tumi kenkan, a wɔde ka AI nsɛm hokwan ne laesens adwumakwan — efiri AI a ɔkyekyere nsɛm ne nsɛm hokwan kɔsi nimdeɛ Wɛb a mfiri tumi di ho aguadi.
- 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 Amammuo-sikasɛm akyinnyeɛ: AI a wɔbu no sɛ ɛsom bo trilliɔn dɔla, ma ɛhia sɛ wɔkyekyɛ nsɛm laesens mu na wɔkyɛ ɔman nyinaa mfasoɔ — nsɛm bɛya nea wɔakyɛkyɛ mu, ɛnyɛ deɛ ne bo yɛ den.
- 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.