Taolo e e Balwang ke Metšhini

Melawana ya taolo e metšhini e ka e fitlhelelang le go e diragatsa: llms.txt, dimanifest tsa /ai/, difaele tsa dipholisi tsa /.well-known/, Disekema tsa JSON, ditokene tsa laesense tse di saenilweng, le dipopego tsa direkoto tsa tlhotlhomiso. Lefelo leno ka bolona ke sekao se se dirang.

Dipotso tse di Ithutwang

Go tswa go robots.txt go ya go llms.txt go ya go dimanifest tsa ditshwanelo

Melao ya go senola dipholisi ya /.well-known/

Sekema sa JSON e le popo e e tlwaelesegileng ya ditlhalosetso

Bokgoni jwa Tlhotlhomiso: direkoto, ditokololo, motswedi

Dipampiri tse Tshweu tse di Amanang

AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Maleba a ditlhalosetso tse di balwang ke metšhini a go tsibosa ditshwanelo tsa diteng tsa AI le dithulaganyo tsa kabo ya dilaesense — go tswa mo go hulareng ga AI le ditshwanelo tsa diteng go ya go enthanete ya kitso e e ka dirisiwang mo dithekesekeng ka metšhini.
AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS le AILP di supa ditumelelo tsa go ithuta tsa AI tse di nang le tlhaloganyo e e boteng go feta go dumela/go gana fela — se AI e ka se ithutang, ka boteng bofe, bakeng sa ditiriso dife, ka fa tuelo efe.
Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Bobulegi jo bo sa tlhalosiwang bo balega e le go sa itse ga semolao mo dithulaganyong tsa AI mme bo a tlosiwa; ke tetlelelo e e porotokolwang, e e balwang ke metšhini fela e e dirang gore diteng di kgone go ithutwa tota.
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 Kganetsanyo ya polotiki-ikonomi: ditekanyo tsa boleng jwa AI tse di lekanang dimilionemilione (trillion) di tlisa kgatelelo ya go batla go dumelesega mo go kaboleng dilaesense tsa diteng ka maemo le go abelana melemo ya setšhaba — data e nna e e kaoletsweng ka maemo, e seng e e turang.
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 Puisano ka ditshwanelo tsa AI e tshwanetse go simolola e seng ka bonna jwa motho ka botlalo, mme ka tshireletso e e kwa tlase ya boitshwaro, melawana ya tirisano, le melaometheo ya kganela tiro e e sa siamang, fa boemo jwa go itemogela jwa AI bo sa itsiwe.
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.