Vulawuri lebyi Hlayekaka hi Matšhini
Milawu ya vulawuri leyi matšhini ma nga yi kumaka na ku yi tirhisa: llms.txt, timanifest ta /ai/, tifayili ta pholisi ta /.well-known/, JSON Schemas, tokheni ta layisense leti sayiniweke, na swivumbeko swa rhekhodo ra audit. Sayiti leyi hi yoxe i xikombiso lexi tirhaka.
Swivutiso leswi Lavisisiwaka
01
Ku Sukela eka robots.txt ku ya eka llms.txt ku ya eka swiboxo swa mfanelo
02
Maawara yo kuma tipholisi eka /.well-known/
03
JSON Schema tanihi Fomati ya Nawu ya Spesifikeshini
04
Vuswikoti byo Kambeleka: rhekhodo, vhesheni, na xihlovo
Tiwhitipeya leti Fambelanaka
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Xiphandzo xa timhaka to boxiwa leti hlayekaka hi matšhini leswaku ku boxiwa timfanelo ta kontenti ya AI na mintirho ya ku nyika tilayisense — ku sukela eka ku hlengeletiwa ka vuxokoxoko hi AI (crawling) na timfanelo ta kontenti ku fikela eka wepu ya vutivi leyi endlaka mabindzu hi matšhini.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS na AILP swi kombisa mpfumelelo wo dyondza wa AI lowu enteke ku tlula "pfumela/ala" ntsena — leswi AI yi nga swi dyondzaka, hi vun'we byihi, eka mintirho yihi, ni nkhokhelo wihi.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Ku pfuleka loku nga hlamuseriwangiki ku hlayiwa tanihi ku nga tiyisiseki ka nawu eka swiendlo swa AI naswona ku basisiwa; mpfumelelo lowu tirhisiwaka hi matšhini ntsena, lowu vekiweke hi tin'hweti, hi wona lowu endlaka kontenti yi dyondzeka hakunene.
- 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 Xiphiqo xa ikhonomi-polotiki: ntikelo wa nkoka wa AI lowu ringanaka trillion wu tisa nkarhimeto wa vululami leswaku ku va ni tinlayisense ta swiyenge swa kontenti ni ku avelana ka vuavanyisi bya vaaki — vuxokoxoko byi hundzuka byo va ni swiyenge, ku nga ri byo durha.
- 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 Bulaho ra timfanelo ta AI a byi fanele ku sungula hi vumunhu byi helela, kambe hi swivikelo swa le hansi swa mahanyelo, milawu ya vuxaka, na misinya ya ku alela vukanganyisi, loko vutivi bya AI byi ha ri xiyimo xo nga tiyisiseki.
- 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.