Gouvernance so Masïni Alîngbi tî Diko

Andïä ti gouvernance so amasïni alîngbi tî wara na sâra kua na ndö ni: llms.txt, amanifest /ai/, ambeti ti ndïä /.well-known/, JSON Schemas, atoken ti licence so a sû iri na ni, na aformat ti mbeti ti audit. Site so mvenî ayeke tapande so ayeke sâra kua nzönî.

Ahunda so Gïngö-Ndo Ayeke Sâra Kua na Ndö Ni

Ti londo na robots.txt, gue na llms.txt, juska na amanifest ti dröa

Lêgë ti wärängö-ndïä na /.well-known/

JSON Schema tongana format ti spécification so andïä na ni

Lêgë ti Audit: ambeti ti sarango-kua, aversion, na londo

Ambeti-Gïngö-Ndo so Andïä na Ndö

AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Undêrê ti spécification so masïni alîngbi tî diko, ndali ti wärängö dröa ti kontenü ti IA na alêgë ti licence — ti londo na crawling ti IA na dröa ti kontenü, juska na internet ti hïngängö-ye so masïni alîngbi tî sara kua na ndö ni.
AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS na AILP afa ayëngö ti mändängö ti IA so ayeke na nda-nda mingi, aga «mû/kanga» oko pëpe — ye so IA alîngbi tî mändä, na yongoro wa, ndali ti sarango wa, na na futa wa.
Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Zïngö so andïä pëpe aga bê-ûse ti ndïä na alêgë ti IA, na a zî ni na gîgî; gï yëngö so andïä na ndïä ti protocole, so masïni alîngbi tî diko, agbïan kontenü aga tâ tâ so alîngbi tî mändä na yâ ni.
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 Tënë ti économie-politique: ngele ti IA so akono na trillion, ayeke sâra ngangü ti lîngbïngö ndali ti licence ti kontenü na anivo, na kangbi-ngêrë na azo kûê — donnée aga na anivo, aga ngêrë pëpe.
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 Lisoro ti dröa ti IA a lîngbi tî londo, a yeke na dutïngö tî zo so alîngbi kûê pëpe, me na batängö-éthique ti kete ahon, andïä ti mängö-terê, na andïä ti kanga sïönî-sarango, na ngoi so subjectivité ti IA ayeke na bê-ûse.
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.