Bulawulo Lobufundzeka Ngemishini
Imitsetfo yebulawulo lengatfolwa futsi isetjentiswe yimishini: i-llms.txt, ema-manifesti e-/ai/, tifayela temtsetfo te-/.well-known/, Tikimu te-JSON, emathokheni elayisensi lasayinwe, kanye nemifomu yerekhodi yekuhlolwa. Lesisayithi ngekwaso sibonelo lesisebentako.
Imibuto lehlolwako
01
Kusuka ku-robots.txt kuya ku-llms.txt kuya kuma-manifesti emalungelo
02
Timiso tekutfolwa kwemitsetfo ye-/.well-known/
03
Sikimu ye-JSON njengefomethi lesemtsetfweni yencazelo
04
Kuhlolwa: tirekhodi, emavesheni, imvelaphi
Tincwadzi letimhlophe letihlobene
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Luhlaka lwetincazelo letifundzeka ngemishini lwekumemetela emalungelo elokucuketfwe kwe-AI kanye netindlela tekunikwa kwelayisensi — kusuka ekungenweni kwe-AI kanye nemalungelo elokucuketfwe kuya kuwebhu lwelwati lolusebenta ngemishini.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol I-AIRS kanye ne-AILP tikhombisa imvumo yekufundza ye-AI lecondzisisiwe ngale kwelinani lelilodwa lelitsi-vumelekile/akuvumelekile — loko i-AI lengakufundza, ngabu-nzulu-bani, ngato yiphi tisetjentiswa, ngaphansi kwaluphi inkhokhelo.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Kuvuleka lokungachaziwe kufundzwa njengekungacaci kwemtsetfo etindleleni te-AI futsi kuyahlanjululwa; imvumo lehlelwe ngetiphrothokholi, lefundzeka ngemishini, kuphela yiyona lentela lokucuketfwe kufundzeleke ngempela.
- 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 Imphikiswano yemnotfo-mtsetfo: tilinganiso te-AI letifika kuma-thriliyoni takha simo lesifuna kunikwa kwelayisensi kwelokucuketfwe ngemabanga kanye nekwabelana ngenzuzo yemphakatsi — imininingwane iba nemabanga, ingabi yindzaba yekubita kakhulu.
- 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 Inkulumo mayelana nemalungelo e-AI kufanele iciniseke hhayi ngebuntfu lobugcwele, kepha ngekuvikeleka lokuncane kwemtsetfo, imitsetfo yekuhlangana, kanye netiyinso taku-vimbela kuhlukumeteka, ngesikhatsi buntfu be-AI busengumbuto longakacaci.
- 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.