Ubuyobozi Busomwa n'Imashini
Amabwiriza y'ubuyobozi imashini zishobora kuronka no gushira mu ngiro: llms.txt, manifest za /ai/, amasakara y'amabwiriza ya /.well-known/, ivyangombwa vya JSON, tokene z'uruhushya zifise umukono, n'imfano z'ivyandikwa vy'igenzura. Iyi urubuga ubwarwo ni akarorero gakora.
Ibibazo Birimwo Kwigwa
01
Kuva kuri robots.txt gushika kuri llms.txt no ku manifest y'uburenganzira
02
Imigenzo yo kuronka amabwiriza muri /.well-known/
03
Ivyangombwa vya JSON nk'imfano yemejwe y'ivyangombwa
04
Ubushobozi bwo kugenzura: ivyandikwa, ivugururwa, inkomoko
Impapuro z'Ubushakashatsi Zifitaniye Isano
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Urwego rw'ivyangombwa bisomwa n'imashini ku kumenyekanisha uburenganzira ku birimwo vy'ikoranabwenge hamwe n'imikorere yo gutanga uruhushya — kuva ku gusakura kw'ikoranabwenge n'uburenganzira ku birimwo gushika ku rubuga rw'ubumenyi rushobora gukorera imikoranire.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS na AILP zerekana uruhushya rw'ukwiga rw'ikoranabwenge mu buryo burimbuye kuruta ego-oya gusa — ivyo ikoranabwenge gishobora kwiga, ku bujimbu ki, ku bikorwa ki, hamwe n'ingurane iyihe.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Ubugaragare butagenywe busomwa nk'akaga k'amategeko n'imigendekere y'ikoranabwenge kugatuma bugasibwa; ni uruhushya rushingiye ku maporotokole, rusomwa n'imashini gusa, rutuma ibirimwo bishobora kwigwako by'ukuri.
- 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 Impaka y'ubukungu-politike: agaciro k'ikoranabwenge kagera ku bitigiri bigana amamiliyari n'amamiliyari gatuma haba igitutu c'ukwemera ko haba gutanga uruhushya k'ibipimo bitandukanye ku birimwo hamwe no gusangira inyungu muri rusangi — amakuru arahinduka ibipimo bitandukanye, atari ibiciro biguma birenze.
- 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 Impaka ku burenganzira bw'ikoranabwenge zikwiye gutangura atari ku bwenegihugu bwuzuye, ahubwo zikatangura ku vyegera ntoya vy'isuku, amabwiriza y'imikoranire, n'imigenzo yo kurwanya ihohoterwa, mu gihe ubumenyi bw'ikoranabwenge bugishoboka ko butazwi neza.
- 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.