Laamu ko masin nanata
Sariyaaji laamu ɗe masin waawi yiytude e golletaade: llms.txt, manifɛst /ai/, fiilaaji politik /.well-known/, iskema JSON, jeton yamiroore hitaandaaɗo, e karal diiwaan odit. Lowre ndee hoore mum ko misal gollotooɗo.
Ñaawooje e ndaardaade jooni
01
Iwde e robots.txt haa e llms.txt haa e jaŋtooje jojjanɗi (manifɛst)
02
Aadaaji jiytugol politikaaji e /.well-known/
03
Iskema JSON wano fannu tabitannde laawɗingol
04
Waawde oditeede: diiwaanuuji, vɛrsiyaaji, e iwdi
Winndanɗe yiylitagol nanndude
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Sowre tabitannde ko masin nanata, fii jaŋtaade jojjanɗi loowdi AI e laawi yamitugol — iwde e ndaawgol AI e jojjanɗi loowdi, haa e rewrew anndal ɗo masin waawata waɗde coggu.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS e AILP ɗiɗi ɗi ɓannginta yamirooje jaŋde AI ɗe faayodinɗe, ɗe ɓuri ɗiɗi kaalis (ee/alaa) tan — ko AI waawi jaŋde, haa dow ɗume, fii huutoragol mune, e ley njoɓdi mune.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Ubbagol majjungu ina jaŋngiree wano sikke sariya e laawi AI, ɗum ina heɗtee; yamiroore porotokolaandi tan, ko masin nanata, waɗata loowdi ndi jaŋdotoo tigi.
- 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 Tippudi politik-ekonomi: teeŋtinal AI, ɗo ɓalliima jelooɓe teemedere hujunere doola, ina hulɓina ɗaɓɓaneede yamitugol loowdi e sowe, e ɓeyda naftoore renndo — daawal ɗum wonta sowaaɗo, wonaa coggu tiiɗɗo.
- 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 Yeewtere fii jojjanɗi AI ina foti fuɗɗaade wonaa e neɗɗaaku timmungu, kono e reenal jikku famɗuɗo, aadaaji jokkondiral, e tippudi haɗugol jaggondiral bonɗo, tawa hoore AI ɓe ndeenaaka.
- 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.