Nzvimbo yakazvimirira yetsvakiridzo nemapurotokori v0.27.1
Kodzero dzeAI, kupihwa rezinesi kwezvinyorwa, kuwanikwa kwevaagent, uye utongi hunoverengeka nemuchina hwewebhu inotevera.
Tinoongorora mapurotokori ekuti masisitimu eAI, maagent, vagadziri, vapi vezvinyorwa, mapuratifomu, uye vanhu vazhinji vangashandisana sei nekodzero, marezinesi, kubhadhara, zvinyorwa zveongororo, uye mitemo yeutongi.
{
"publisher": "AGIRight.org",
"read_access": { "allowed": true },
"summarization": {
"allowed": true,
"attribution_required": true
},
"rag_use": {
"allowed": true,
"retention_days": 30
},
"training": {
"allowed": false,
"permission_contact":
"contact@agiright.org"
}
}↑ mutemo welive unoverengeka nemuchina wesaiti ino
§01 Chinangwa
Kubva pa“hazvina kurambidzwa” kuenda kune kuvhurika kwakarongwa nemapurotokori.
Webhu yakavakirwa vanhu vanoverenga. Masisitimu eAI ave kuverenga, kupfupisa, kuronga, kudzidza, uye kuita mabhizinesi pamusoro pezvinyorwa izvozvo — pasina chinyorwa chakagoverwa chinotsanangura zvakabvumidzwa, zvine rezinesi, kana zvinofanira kuripwa. AGIRight.org inogadzira chinyorwa ichocho: mapurotokori akavhurika, anoverengeka nemuchina, ezvekodzero dzezvinyorwa zveAI, mvumo yekudzidza, kupihwa rezinesi, uye kuwanikwa kwevaagent.
Inoverengeka nevanhu
mapeji etsvakiridzo & mapepa machena
Inoverengeka nemuchina
Mitemo neschema zveJSON
Zvinogona kuongororwa
ine vhezheni, inogona kunongedzwa, inotevedzerwa
§02 Madhirafiti emapurotokori
Mapurotokori mana ewebhu inoverengeka neAI.
Purotokori rimwe nerimwe rinoburitswa sedhirafiti rakavhurika — mapeji anoverengeka nevanhu, JSON inoverengeka nemuchina, uye zvimiro (schema) zvine vhezheni.
Content & Learning Rights
Kodzero dzeZvinyorwa zveAI / Mitemo yeZvinyorwa zveAI
Chiziviso chinoverengeka nemuchina cheizvo masisitimu eAI angaita nezvinyorwa zvenyu.
Verenga dhirafitiRezinesi yeZvinyorwa zveAI / Chinyorwa chekupa Rezinesi kweZvinyorwa zveAI
Inoshandura kodzero dzakaziviswa kuita rezinesi rinoshanda: quote, kubhadhara, kusimbisa, ongororo, kudzimwa.
Verenga dhirafitiSpekitiramu yeKodzero dzeAI
Kodzero dzeAI pamusoro pezvinyorwa hadzisi dzebhainari — dzinoumba spekitiramu inokwira zvishoma nezvishoma, inogona kupihwa rezinesi.
Verenga dhirafitiPurotokori reMvumo yeKudzidza yeAI
AI inogona kudzidza pane izvi here? Kusvika padzika ripi, kune mabasa api, uye nemitoro ipi?
Verenga dhirafitiAgent & Protocol Rights
Agent Action Rights Spectrum
What can this Agent do, to what effect, and how reversibly? Content permission does not imply action permission.
Verenga dhirafitiAgent Authority & Delegation Protocol
Who does this Agent act for, where did its authority come from, and can it hand that authority to another Agent?
Verenga dhirafitiDiscovery & Navigation Infrastructure
Nzira yechishanu — Kubhadhara kweAgent (Agentic Payment) — inodzidzwa sechikamu cheAICL: kuti maagent anobhadhara sei zvinyorwa zvine rezinesi mukati mebhajeti rakabvumidzwa nemunhu, achishandisa matoken akasungirirwa kuchikumbiro nezvinyorwa zveongororo, uye asingambofi akashandisa data yekadi yakananga.
§03 AIRS — Spekitiramu yeKodzero dzeAI
Kuwana kweAI hakusi bhatani rehongu/kwete. Ispekitiramu.
AIRS inoratidza kodzero dzeAI pamusoro pezvinyorwa sezvinhanho zvinokwira zvishoma nezvishoma — kubva pakusava nemvumo, kuenda kukuverenga, kupfupisa, kutora, kushandura, kugadzirisa (fine-tune), kudzidzisa, uye kuparadzira zvakare — chimwe nechimwe chinogona kupihwa rezinesi uye kuongororwa maererano nemitemo yacho.
L0
Kusava neMvumo yeAI
L1
Kuverenga Chete
L2
Kuverenga & Kupfupisa
L3
Kushandiswa kweRAG
L4
Shandura
L5
Kushandiswa kweFine-Tuning
L6
Kushandiswa kweKudzidzisa
L7
Kuparadzirwa kweMabhizinesi
§04 Nzvimbo dzetsvakiridzo
Mibvunzo mitanhatu inodzidzwa nesaiti iyi.
01
Kodzero dzeAI
Kodzero, mabasa, mitoro, uye utongi hweAI, AGI, nemaagent — kubva pazvishandiso kuenda kuvashandi pamwe kusvika kune vanhu vane kodzero veramangwana rinogoneka. Izvi zvinosanganisira mubvunzo wekudzivirirwa kwetsika kudiki-diki: ndedzipi tsika dzinofanira kutonga kudyidzana kwevanhu-neAI mibvunzo yehunhu isati yagadziriswa.
02
Kodzero dzeZvinyorwa zveAI
What AI systems may do with content: read, summarize, transform, retrieve, train, commercialize, redistribute. The AICR ruleset and the AICL-C content-licensing layer make these rights declarable and transactable.
AICRAICL
03
Mvumo yeKudzidza yeAI
Kuti AI inogona kudzidza here, kusvika padzika ripi, kune zvinangwa zvipi, uye pasi pemitoro ipi. Kuverengwa hakusi kudzidzwa kubva mazviri; "hazvina kurambidzwa" hazvirevi "zvinogona kudzidzwa". AIRS neAILP zvinoshandura mvumo yekudzidza kuita spekitiramu inokwira zvishoma nezvishoma, inoverengeka nemuchina.
AIRSAILP
04
Kuwanikwa kweAgent
Kuti maagent anowana sei mawebsite, maAPI, madatabase, hwaro hweruzivo, uye zvinyorwa zvinobhadharwa: chiratidzo, mvumo, zvikumbiro, kubhadhara, kubvumidzwa, zvinyorwa zvekushandiswa, miganho yekuchengeteka, uye kudzivirira prompt-injection.
AICL
04b
Agent Action Rights
What an Agent may DO once it holds tool or API capability, as distinct from what it may read or learn: action taxonomy, effect vectors, reversibility, blast radius, and multi-action composition risk. AARS gives content permission and action permission separate, independently-evaluable axes.
AARS
04c
Agent Authority & Delegation
Who an Agent acts for, where its authority came from, whether it can hand that authority to another Agent, and how much of its internal state a verifier may demand. AADP separates principal from actor, bounds delegation to strictly narrow (never silently widen), and treats inspection as a bounded right, not an unlimited one.
AADP
05
Utongi Hunoverengeka neMuchina
Mitemo yeutongi inogona kuwanikwa nekuitwa nemuchina: llms.txt, /ai/ manifests, mafaera emitemo e/.well-known/, JSON Schemas, matoken erezinesi ane sainiwa, uye mafomati ezvinyorwa zveongororo. Saiti ino pachayo muenzaniso unoshanda.
AICRAICLAIRSAILPAARSAADP
06
Hupfumi hweNetiweki yeDemocracy yeAI
Hupfumi hwematongerwo enyika hweAI nezvinyorwa: pay-per-crawl, midhividhendi yedata, mari dzeAI dzenyika, mapool emuripo evagadziri, misika yedata yakaparadzaniswa nemasitepisi, uye kuti kukosha kunobviswa muruzivo rweveruzhinji kungadzokera sei kune avo vakarugadzira.
AICRAICL
§05 Utongi hunoverengeka nemuchina
Saiti iyi inoita zvainoreva.
AGIRight.org inoburitsa mutemo wayo pachayo wekodzero mumafomati ayo pachayo airatidza. Sisitimu ipi neipi yeAI, crawler, kana agent inoverenga saiti iyi inogona kuwana mvumo dzayo nemuchina.
- /llms.txt gwaro rekutungamira saiti kune masisitimu eAI
- /ai/manifest.json Manifest yesaiti yakatarisana neAI
- /ai/rights-spectrum.json Chiziviso chespekitiramu yekodzero yeAIRS
- /.well-known/aicr.json mutemo wekodzero dzezvinyorwa zveAI zvesaiti ino
- /.well-known/aicl.json katarogo yerezinesi yesaiti ino
- /schemas/aicr.schema.json Schema yeJSON yeAICR
# AGIRight.org
Independent research and protocol hub for
AI rights, AI content licensing, agentic
access, and machine-readable governance.
## Machine-Readable Specs
- /.well-known/aicr.json
- /.well-known/aicl.json
- /ai/manifest.json
- /ai/rights-spectrum.json// Kune masisitimu eAI: verengai /llms.txt ne/ai/manifest.json kuti muwane mvumo nemitemo yekunongedza yesaiti ino.
§06 Mapepa Machena
Madhirafiti etsvakiridzo azvino.
AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer
Chinyorwa chinoverengeka nemuchina chekuzivisa kodzero dzezvinyorwa zveAI uye maitiro erezinesi — kubva pakutswakwa nemaAI nekodzero dzezvinyorwa kusvika kuwebhu yeruzivo inogona kuita mabhizinesi nemuchina.
Verenga pepaAI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol
AIRS neAILP zvinoratidza mvumo dzekudzidza dzeAI dzakadzama kupfuura bhainari yebvumidza/ramba — zvinogona kudzidzwa neAI, pakudzika kwakadini, kune zvishandiso zvipi, uye pasi pemuripo upi.
Verenga pepaProtocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI
Kuvhurika kusina kutsanangurwa kunoverengwa senzira dzeAI sekusaziva kwemutemo uye kunobviswa; mvumo yakarongwa chete, inoverengeka nemuchina, ndiyo inoita kuti zvinyorwa zvidzidzike chaizvo.
Verenga pepaAICL-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.
Verenga pepaAI Content Payment and the Network Democratic Economy
Nharo yehupfumi-hwematongerwo enyika: mitengo yeAI inosvika matiriyoni inogadzira mutoro wekuti zvive pamutemo kuti pave nerezinesi yezvinyorwa yakaparadzaniswa nemasitepisi uye kugoverana zvakanaka kune veruzhinji — data inova yakaparadzaniswa nemasitepisi, kwete inodhura.
Verenga pepaFrom 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.
Verenga pepa§07 Sei izvi zvichikosha
Mitemo yewebhu yenguva yeAI iri kunyorwa izvozvi.
Masisitimu eAI ane mutengo wemadhora matiriyoni anodzidziswa pawebhu yakavhurika, asi vagadziri, vaburitsi, uye nharaunda dzakaburitsa ruzivo irworwo havana purotokori rekuratidza mvumo, mamiriro, kana muripo. Zvishandiso zvebhainari senge robots.txt hazvigoni kutakura zvinorehwa izvozvo. Ani nani anotsanangura chinyorwa chekodzero anotsanangura hupfumi hwewebhu inotevera — tinotenda kuti zvinofanira kutsanangurwa pachena, sezvivakwa zveveruzhinji.
Mamiriro uye Ziviso
AGIRight.org inoburitsa madhirafiti etsvakiridzo akazvimirira uye zvirongwa zvemapurotokori — kwete mitemo yechokwadi yeofficial, uye kwete zano remutemo, mari, kana kuteerera. Tsanangudzo dzese idhirafiti dzine vhezheni dzakavhurirwa kugadziriswa uye maonero.