Jikin research im protocol ej make wōt v0.27.1
Maroñ ko an AI, laisin an kontent, tōprak an agent ro, im governance eo machine-readable ñan wēb eo ej itok.
Kōmij kappok protocol ko kōn wāween an AI systems, agent ro, ri-kōṃṃan ko, ri-lewōj kontent, platform ko, im aolep armej rej maroñ kōṃṃan ippān doon kōn maroñ ko, laisin ko, kōḷḷā ko, audit log ko, im kien governance.
{
"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"
}
}↑ policy machine-readable e mour an site in
§01 Mission
Jān “ejjeḷọk mọ kake” ñan openness eo ej kōṃṃan alikkar ilo protocol.
Kar kalōk wēb eo ñan armej ro rej riit. Kiiō AI systems rej riiti, kōṃṃan summary, index, katak jāni, im wia ilo kontent eo wōt — ak ejjeḷọk juon layer ej kōjjeḷāik ta eo mō, laisin, ak aikuj kōḷḷāik. AGIRight.org ej je juon layer āinwōt: protocol ko rej open im machine-readable ñan maroñ ko an AI ioon kontent, maroñ in katak, laisin, im tōprak an agent ro.
Armej Emaroñ Riiti
research page ko im whitepaper ko
Machine-Readable
JSON policy ko im schema ko
Emaroñ Audit
ewor version, emaroñ cite, emaroñ track
§02 Protocol draft ko
Emān protocol ñan wēb eo AI emaroñ riiti.
Protocol otemjej kar kwaḷọk āinwōt draft eo open — page ko armej emaroñ riiti, JSON eo machine emaroñ riiti, im schema ko ewor version ko aer.
Content & Learning Rights
Maroñ ko ioon Kontent an AI / Kien ko ioon Kontent an AI
Juon kwaḷọk machine-readable kōn ta eo AI systems remaroñ kōṃṃan kōn kontent eo aṃ.
Riit draftLaisin Kontent an AI / Layer in Laisin Kontent an AI
Ukot maroñ ko kar kwaḷọk ñan laisin emaroñ execute: quote, kōḷḷā, verify, audit, revoke.
Riit draftSpectrum in Maroñ ko an AI
Maroñ ko an AI ioon kontent re jab binary — rej kōṃṃan juon spectrum ej wōnṃaanḷọk im emaroñ laisin.
Riit draftProtocol in Maroñ in Katak an AI
AI emaroñ ke katak jān men in? Ñan jete depth, ñan uses rot, im kōn eddo rot?
Riit draftAgent & Protocol Rights
Agent Action Rights Spectrum
What can this Agent do, to what effect, and how reversibly? Content permission does not imply action permission.
Riit draftAgent Authority & Delegation Protocol
Who does this Agent act for, where did its authority come from, and can it hand that authority to another Agent?
Riit draftDiscovery & Navigation Infrastructure
Kein ka-ḷalem — Agentic Payment — ej katak āinwōt juon ṃōttan AICL: wāween an agent ro kōḷḷā ñan kontent eo laisin ilo budget eo armej ear kaṃool, kōn token ko lukkuun ekkar ñan request eo im audit log ko, im jāmin kōn card data e ṃool.
§03 AIRS — Spectrum in Maroñ ko an AI
Tōprak an AI e jab juon switch in aet ak jaab. Ej juon spectrum.
AIRS ej kwaḷọk maroñ ko an AI ioon kontent āinwōt level ko rej wōnṃaanḷọk — jān ejjeḷọk tōprak, ñan riit, summary, retrieve, transform, fine-tune, training, im redistribute — kajjojo level emaroñ laisin im audit kake make wōt.
L0
Ejjeḷọk Tōprak an AI
L1
Riit Wōt
L2
Riit im Summary
L3
Kōjerbal RAG
L4
Transform
L5
Kōjerbal ñan Fine-Tuning
L6
Kōjerbal Training
L7
Commercial Redistribution
§04 Research area ko
Jiljino kajjitōk site in ej katak kaki.
01
Maroñ ko an AI
Maroñ ko, duty ko, eddo ko, im governance an AI, AGI, im agent ro — jān kein jerbal ñan ri-jerbal ippān ñan subject ko remaroñ itok tokālik. Men in ej koba kajjitōk kōn minimum ethical protection: norm ko rej aikuj governance interaction ikōtaan armej–AI ṃokta jān an jeṃḷọk kajjitōk kōn personhood.
02
Maroñ ko ioon Kontent an AI
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
Maroñ in Katak an AI
Eḷaññe AI emaroñ katak, ñan jete depth, ñan purpose rot, im iuṃwin eddo rot. Bwe ren riiti e jab ejja wōt bwe ren katak jāni; “ejjeḷọk mọ kake” e jab “learnable.” AIRS im AILP rej ukot maroñ in katak ñan juon spectrum ej wōnṃaanḷọk im machine-readable.
AIRSAILP
04
Tōprak an Agent ro
Wāween an agent ro tōprak website ko, API ko, database ko, knowledge base ko, im kontent eṃōj kōḷḷā ñan e: identity, permission, request ko, kōḷḷā, authorization, usage log ko, security boundary ko, im defense ṇae 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
Governance Machine-Readable
Kien governance ko machine emaroñ lo im execute: llms.txt, /ai/ manifest ko, /.well-known/ policy file ko, JSON Schema ko, license token ko kar sain, im audit log format ko. Site in ej make wōt juon waanjoñak ej jerbal.
AICRAICLAIRSAILPAARSAADP
06
Democratic Network Economy an AI
Political economy an AI im kontent: pay-per-crawl, data dividend ko, sovereign AI fund ko, creator compensation pool ko, tiered data market ko, im wāween oṇean eṃōj bōk jān jeḷā rāllep emaroñ jepḷaak ñan ro raar kōṃṃane.
AICRAICL
§05 Governance eo machine-readable
Site in ej kōṃṃan men eo ej kwaḷọk.
AGIRight.org ej kwaḷọk make policy in maroñ ilo format ko ej je. Aolep AI system, crawler, ak agent ej riit site in emaroñ lo maroñ ko an ilo wāween programmatic.
- /llms.txt site guide ñan AI systems
- /ai/manifest.json Manifest in site ej jitōñḷọk ñan AI
- /ai/rights-spectrum.json Kwaḷọk spectrum in maroñ an AIRS
- /.well-known/aicr.json policy in AI content rights an site in
- /.well-known/aicl.json catalog in laisin an site in
- /schemas/aicr.schema.json AICR JSON Schema
# 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// Ñan AI systems: riit /llms.txt im /ai/manifest.json ñan maroñ ko im kien citation an site in.
§06 Whitepaper ko
Research draft ko rainin.
AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer
Juon layer in specification machine-readable ñan kwaḷọk maroñ ko an AI ioon kontent im workflow in laisin — jān AI crawling im maroñ ioon kontent ñan juon wēb in jeḷā emaroñ wia im wiakake ie.
Riit paperAI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol
AIRS im AILP rej kwaḷọk maroñ in katak an AI ko re nuanced jān binary allow/disallow — ta eo AI emaroñ katak, ñan jete depth, ñan uses rot, im kōn compensation rot.
Riit paperProtocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI
Openness ejjeḷọk an definition ej riit āinwōt legal uncertainty ñan AI pipeline ko im ej kar jolọk; maroñ protocolized im machine-readable wōt ej kōṃṃan bwe kontent en lukkuun learnable.
Riit paperAICL-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.
Riit paperAI Content Payment and the Network Democratic Economy
Juon argument in political-economy: valuation ko an AI rej trillion aer joñan rej kōṃṃan pressure in legitimacy ñan laisin kontent ilo tier ko im benefit-sharing ñan aolep armej — data ej erom tiered, jab wōt e ṃōñā jāān.
Riit paperFrom 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.
Riit paper§07 Etke men in ej aorōk
Kien ko an wēb ilo iien AI rej jino je kiiō.
AI systems ewor oṇeaer trillion dollar rej training ioon wēb eo open, ak ri-kōṃṃan ko, ri-kwaḷọk ko, im community ko raar kōṃṃan meḷeḷe eo ejjeḷọk aer protocol ñan kwaḷọk kōtḷọk, condition ko, ak oṇean. Kein jerbal binary āinwōt robots.txt re ban bōk meḷeḷe eo. Jabdewōt eo ej pepe kōn rights layer ej pepe barāinwōt economy an wēb eo ilju — kōmij tōmak bwe en pepe ilo open, āinwōt infrastructure an aolep armej.
Status im disclaimer
AGIRight.org ej kwaḷọk research draft ko im protocol proposal ko rej make wōt — jab official standard ko, im jab naan in kakapilōk legal, ṃani, ak compliance. Aolep specification ko rej draft ewor version, im rej open ñan revision im feedback.