Nhyehyɛe A Mfiri Tumi Kenkan
Nhyehyɛe mmara a mfiri tumi hu na wɔde di dwuma: llms.txt, /ai/ manifests, /.well-known/ mmara nkrataa, JSON Schemas, laesens token a wɔde nsa ahyɛ ho, ne nsrahwɛ nkrataa nhyehyɛe. Saet yi ankasa yɛ nhwɛso a ɛyɛ adwuma.
Nsɛmmisa A Wɔresua Ho Adeɛ
01
Efiri robots.txt kɔsi llms.txt kɔsi hokwan manifest
02
/.well-known/ amanneɛ a wɔde hu nhyehyɛe mmara
03
JSON Schema Sɛ Nkyerɛkyerɛmu Su A Wɔde Di Dwuma
04
Nsrahwɛ Ho Kwan: Nkrataa, Version, ne Ɛfiri Baabi
Nkrataa Nhwehwɛmu A Ɛfa Ho
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Nkyerɛkyerɛmu mpaemu a mfiri tumi kenkan, a wɔde ka AI nsɛm hokwan ne laesens adwumakwan — efiri AI a ɔkyekyere nsɛm ne nsɛm hokwan kɔsi nimdeɛ Wɛb a mfiri tumi di ho aguadi.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS ne AILP kyerɛ AI adesua ho kwan a emu ntɛtɛ, a ɛkyɛn 'aane/daabi' kɛkɛ — deɛ AI betumi asua, emu dɔ dodoɔ, deɛ enti, ne akatua a ɛfata.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Ahotoɔ A Wɔnkyerɛ Mu Pefee No, AI Adwuma Akwan Fa No Sɛ Mmara Mu Ntɛtɛ Na Wɔyi Gu; Ho Kwan A Wɔde Protokol Akyekyere A Mfiri Tumi Kenkan Nko Ara Na Ɛma Nsɛm Yɛ Deɛ Wɔbɛtumi Asua Ankasa.
- 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 Amammuo-sikasɛm akyinnyeɛ: AI a wɔbu no sɛ ɛsom bo trilliɔn dɔla, ma ɛhia sɛ wɔkyekyɛ nsɛm laesens mu na wɔkyɛ ɔman nyinaa mfasoɔ — nsɛm bɛya nea wɔakyɛkyɛ mu, ɛnyɛ deɛ ne bo yɛ den.
- 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 Ɛsɛ sɛ AI hokwan ho nkitahodie mfiri aseɛ wɔ onipa suban a ɛyɛ mã (full personhood) so, na mmom ɛmfiri aseɛ wɔ ɔbra pa banbɔ a ɛsua koraa, nkitahodie amanneɛ, ne nnyinasoɔ a ɛko tia atirimɔdenbɔ so, ɛberɛ a AI suban (subjectivity) da so ara yɛ nea obiara nnim mu pefee.
- 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.