Masini-Kalanni Mara
Mara sariyaw minnu masiniw bɛ se ka sɔrɔ ka baara kɛ: llms.txt, /ai/ manifestw, /.well-known/ polisi sɛbɛnw, JSON sekemaw, lisansi jɛtɔn bolonɔlenw, ani sɛgɛsɛgɛli sɛbɛn cogow. Siti in yɛrɛ ye baarakɛlaman misali ye.
Ɲininkali minnu bɛ sɛgɛsɛgɛ la
01
Ka bɔ robots.txt na ka taa llms.txt ma ka taa josira manifestw ma
02
/.well-known/ polisi sɔrɔli-cogo sariyaw
03
JSON Sekema i n'a fɔ sariyasɛbɛn cogo sariyalen
04
Sɛgɛsɛgɛli sebagaya: sɛbɛnw, wɛrsiyɔnw, bɔyɔrɔ
Sɛbɛn jɛman bɛnnenw
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Sariyasɛbɛn jɔyɔrɔ min bɛ se ka kalan masini fɛ, IA kunnafoni josiraw ni lisansiyali baaraw fɔli kama — ka bɔ IA ka crawling ni kunnafoni josiraw na ka taa lɔnniya ɛntɛrinɛti min bɛ se ka jago-baara kɛ masini fɛ.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS ni AILP bɛ IA kalan yamaruya nɔgɔyaw jira, min tɛmɛna «sɔn/ban» kelen kan — IA bɛ se ka min kalan, ka taa dun-min na, baarakɛcogo min kama, ni sara sugu jumɛn ye.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Dayɛlɛli latigɛlen tɛ, o bɛ jate sariya siga ye IA siraw fɛ, o bɛ bɔ; yamaruya protokolo-bɛnnen dɔrɔn, min bɛ se ka kalan masini fɛ, o de bɛ kunnafoni kɛ kalanni-yɔrɔ sɛbɛ ye.
- 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 Fanga-nafolo sɔsɔli: IA nafolo latigɛli minnu bɛ se tirilyɔn ma, olu bɛ gɛlɛya don walisa kunnafoni lisansiyali ka kɛ jɔyɔrɔ caman na ani jama ka nafa ka tila — kunnafoniw bɛ kɛ jɔyɔrɔ caman ye, u tɛ kɛ sɔngɔba dɔrɔn ye.
- 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 IA josira baro man kan ka daminɛ mɔgɔya dafalen fɛ, nka a ka kan ka daminɛ josiriya lakana dɔgɔmanba, ɲɔgɔndon sariyaw, ani tɔɲɔli-gɛlɛyali sariyaw fɛ, k'a to IA hakili-yɛrɛya ka to sigalen na.
- 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.