Dziɖuɖu Si Makinawo Hã Ate Ŋu Axlẽ
Dziɖuɖu sewo siwo makinawo ate ŋu akpɔ eye woawɔ dɔ le wo dzi: llms.txt, /ai/ nyaɖeɖewo, /.well-known/ sedede faelwo, JSON Skemawo, laesens token siwo gbɔ dzesi, kple dzodzro-nuŋlɔɖi ƒomeviwo. Saet sia ŋutɔ nye kpɔɖeŋu si le dɔ wɔm.
Biabia Siwo Wole Numekukum Le Wo Ŋu
01
Tso robots.txt yi llms.txt yi gomekpɔkpɔwo ƒe nyaɖeɖewo dzi
02
/.well-known/ ƒe sedede didimɔwo
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JSON Skema Abe Spesifikesen Ƒomevi Si Wozãna Ene
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Dzodzroŋutɔnyenye: nuŋlɔɖiwo, vɛsiɔnwo, kple afi si nu tso
Numekuku-Agbalẽ Siwo Ku Ɖe Eŋu
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Spesifikesen akpa si makina ate ŋu axlẽ, si woɖe gbeƒã na AI ƒe nuŋlɔŋlɔ gomekpɔkpɔwo kple laesensnana ƒe dɔwɔmɔwo — tso AI tsatsatsa kple nuŋlɔŋlɔ gomekpɔkpɔ dzi yi Wɛb si makina ate ŋu awɔ asitsatsa le edzi si gbɔ nunya la.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS kple AILP ɖea AI ƒe nusrɔ̃srɔ̃ mɔɖeɖewo fia nyuie wu "woɖe mɔ / womeɖe mɔ o" tsɔtsɔ ko — nu si AI ate ŋu asrɔ̃, ale si wòayi eme, na zazã kawo, kple fetu ka te.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Ʋuʋunyenye si womeɖo gɔme o la, AI dɔwɔɖoɖowo buna abe se ƒe kakaɖedzimanɔmee ene, eye woɖea wo ɖa; mɔɖeɖe si se le eŋu, si makina ate ŋu axlẽ koe wɔa nuŋlɔŋlɔ wòzua nu si woate ŋu asrɔ̃ le nyateƒe me.
- 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 Susu tso dunyahedodo ŋu: esi AI ƒe homexexlẽ va yi trilion me la, ehea vovo be woama nuŋlɔŋlɔ laesens ɖe dzidziɖoƒewo me, eye dukɔmeviwo katã nakpɔ viɖe le eme — data la mazu dzidziɖoƒe-ɖoɖoe, ke menye asi wòaxɔ gbɔ o.
- 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 Ele be nyaƒoƒo tso AI ƒe gomekpɔkpɔwo ŋu nadze egɔme menye kple amegbetɔ ƒe ganyenye bliboa o, ke boŋ kple nyagbugbɔ dzesideɖoɖo suetɔ, wɔnawo kple hadede ƒe sewo, kple sewo siwo xea mɔ na fu wɔwɔ, esime AI ƒe ɖokuisese gakpɔtɔ menye nyateƒe tututu o.