Taolo ye e Balwago ke Metšhene

Melao ya taolo yeo metšhene e ka e hwetšago le go e phethagatša: llms.txt, dimanifest tša /ai/, difaele tša pholisi tša /.well-known/, JSON Schemas, di-token tša laesense tše di sainilwego, le mebopego ya dipego tša tlhahlobo. Lefelo le ka bolena ke mohlala wo o šomago.

Dipotšišo tše di Nyakišišwago

Go tloga go robots.txt go ya go llms.txt go ya go dimanifest tša ditokelo

Mekgwa ya go hwetša dipholisi ka /.well-known/

JSON Schema e le mokgwa wa ditlhaloso wo o beilwego

Kgonagalo ya Tlhahlobo: dipego, dikgatišo, mothopo

Dipukwana tše Tšhweu tše Amanago

AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Legora la ditlhaloso tše di balwago ke metšhene bakeng sa go phatlalatša ditokelo tša diteng tša AI le mekgwatiro ya laesense — go tloga go go hlokomelwa ke AI le ditokelo tša diteng go ya inthaneteng ya tsebo yeo metšhene e ka dirišanago ditshepedišo go yona.
AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS le AILP di bontšha ditumelelo tša go ithuta tša AI tše di nago le tlhaloso ye e feletšego go feta ee/aowa fela — seo AI e ka se ithutago, botebo bjo bo kaakang, bakeng sa merero yefe, ka fase ga moputso ofe.
Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Bulego bjo bo sa hlalošwago bo hlathollwa e le go se kgonthiše ga semolao ke ditshepedišo tša AI gomme bo a hlakolwa; ke tumelelo ye e beilwego ka phrothokholo, ye e balwago ke metšhene feela, yeo e dirago gore diteng di kgone go ithutwa ka kgonthe.
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 Kgang ya ekonomi-polotiki: theko ya AI ya di-trillion e hlola kgateletšo ya tumelelo bakeng sa laesense ya diteng ka maemo le go abelana mohola wa setšhaba — data e fetoga ya go arolwa ka maemo, e sego e turago.
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 Poledišano ka ditokelo tša AI e swanetše go thoma e se ka bomotho bjo bo feletšego, eupša ka ditšhireletšo tša boitshwaro tše nnyane, melao ya poledišano, le melawana ya go thibela tlaišo, mola boikwelo bja AI bo sa le bja go se kgonthiše.
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.