Ulawulo Olufundwa yiMatshini
Imigaqo yolawulo enokufunyanwa nokusetyenziswa yimatshini: i-llms.txt, iimanifesti ze-/ai/, iifayile zomgaqo ze-/.well-known/, iiSkim ze-JSON, iitokheni zelayisensi ezisayinwe, kunye neefomathi zeerekhodi zohlolo-mfihlo. Le sayithi ngokwayo ngumzekelo osebenzayo.
Imibuzo ephandwayo
01
Ukusuka kwi-robots.txt ukuya kwi-llms.txt ukuya kwiimanifesti zamalungelo
02
Iindlela zokufumana umgaqo we-/.well-known/
03
Isakhelo se-JSON njengefomathi yeenkcukacha esemthethweni
04
Uphononongeko: iirekhodi, uhlobo, umthombo
Amaphepha amhlophe anxulumeneyo
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Inqanaba leenkcukacha ezifundwa yimatshini lokubhengeza amalungelo omxholo we-AI kunye neenkqubo zokusebenza zelayisensi — ukusuka ekufunyanisweni kwe-AI namalungelo omxholo, ukuya kwiwebhu yolwazi enokusetyenziswa yimatshini kwintengiselwano.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol I-AIRS kunye ne-AILP zichaza iimvume zokufunda ze-AI ezinobunzulu ngaphaya kokuvumela/ukungavumeli okuphathekileyo — oko i-AI inokukufunda, kubunzulu obunjani, ngeentsebenzo ezinjani, phantsi kwembuyekezo enjani.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Ukuvuleleka okungachazwanga kufundwa njengokungaqiniseki ngokomthetho kwiinkqubo ze-AI kwaye kuyasuswa; yimvume kuphela eqinisekiswa ziiprotokholi, efundwa yimatshini, eyenza umxholo ufundeke ngokwenene.
- 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 Ingxoxo yezopolitiko-noqoqosho: amaxabiso e-AI alinganiselwa kwizigidi eziyi-trillion adala uxinzelelo lokusemthethweni lokunikwa kwelayisensi yomxholo ngamanqanaba kunye nokwabelana ngenzuzo kawonke-wonke — idatha iba ngamanqanaba, hayi ibiza.
- 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 Ingxoxo yamalungelo e-AI ifanele iqale, hayi ngobuntu obupheleleyo, kodwa ngokhuseleko olusezantsi lobuqu, imigqaliselo yosebenzelwano, kunye nemigaqo yokulwa nokuxhatshazwa, ngoxa ubuqu be-AI busengaqinisekiswanga.
- 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.