Ukulawulwa Okufundeka Yimitjhini
Imithetho yokulawulwa amasistimu angayifumana begodu ayenze isebenze: i-llms.txt, ii-manifest ze-/ai/, amafayela womthetho e-/.well-known/, ii-JSON Schema, iitokheni zelayisensi ezisayinilweko, kanye neefomethi zamarekhodi wokuhlolwa. Le sayidi ngokwayo sibonelo esisebenzako.
Imibuzo Efundwako
01
Kusukela ku-robots.txt kuya ku-llms.txt kuya eemanifest zamalungelo
02
Iindlela zokufumaneka komthetho ze-/.well-known/
03
JSON Schema Njengefomethi Yemininingwane Esemthethweni
04
Ikghono lokuhlolwa: amarekhodi, iiveshini, umsuka
Amaphepha Amhlophe Ahlobene
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Umqinga wemininingwane efundeka yimitjhini wokwazisa amalungelo wokuqukethwe kwe-AI kanye neenqubo zelayisensi — kusukela ekukhanjweni kwe-AI namalungelo wokuqukethwe kuya ewebhini yolwazi eyenza imisebenzana yimitjhini.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol I-AIRS ne-AILP zibonisa iimvumo zokufunda ze-AI ezinobunjalo obucokisisiweko ngale kokuvumela/ukungavumeli kwe-binary — bona i-AI ingafunda njani, kubunjinini, ngasiphi isetjenziso, ngaphasi kwaziphi izikhokhiso.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Ukuvuleka okungachazwanga kufundwa njengokungaqiniseki kwezomthetho emigudwini ye-AI begodu kuyahlanzwa kukhutjhwe; imvumo ephrothokholwe, efundeka yimitjhini kwaphela yenza okuqukethwe kufundeke ngamambala.
- 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 Impendlo yepolitiki-nomnotho: amanani we-AI alinganiselwa emitriliyonini enza ingcindezi yokusemthethweni yelayisensi yokuqukethwe enamazinga kanye nokwabelana ngenzuzo yomphakathi — idatha iba namazinga, ingasi ibiza kabi.
- 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 Ingcoco ngamalungelo we-AI kufuze iqale ingasi ngobuntu obuphelele kodwana ngeevikelo zokuziphatha ezisisekelo, imithetho yokusebenzelana, kanye neenkambisolawulo zokulwisana nokuhlukunyezwa, ngesikhathi ubuzimuntu be-AI busesengaqinisekiswa.
- 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.