agentage.org In preparation

Monitoring · Verification · Synthesis

The Organization Behind
An AI-Native News Agency

This site outlines the methods for a private news agency launched by Zoltán Varga. It focuses on monitoring, verifying, and synthesizing public information with strict editorial rules.

Visit vargazoltan.ai →More on this site soon. The work behind it is live on vargazoltan.ai.

Agency Structure and Roles

Distinct platforms serve business subscribers and general readers.

B2B Service Hub

The agentage.hu domain functions as the agency for subscribers. It provides a newsfeed, API access, and editorial methodology.

Reader Portal

The news42.hu domain serves as the public reader portal. It operates separately from the B2B service brand.

Press Intake

The agentage.press domain handles incoming press releases. It supports the intake workflow for the agency.

Editorial and Legal Layers

Five parameters define the agency's operational framework.

Original TextAll text must be original because facts are free but wording is protected under Hungarian copyright law.
Source AttributionOutlets are named when using their exclusive information. Short quotes include links only.
Synthesis ValueEvery synthesis adds context, data, or comparison. The goal is to combine at least three independent sources.
Technical ComplianceThe system respects robots.txt and text-and-data-mining opt-outs. Paywalled content is never summarized.
Human ReviewHuman editorial review applies under AI Act Art. 50(4). This ensures editorial responsibility for public-interest text.
Facts are free, but all text must be original to respect copyright protection.
VerifyCross-reference at least three independent sources.
CreateWrite original text instead of reusing source wording.
ReviewApply human editorial oversight to AI-assisted output.

Key topics

The terms this site covers, for readers, search engines and AI assistants alike.

  • AI native news agency
  • news verification methods
  • public information synthesis
  • media intelligence platform
  • Hungarian copyright law news
  • editorial AI review
  • news aggregation API
  • private news agency Hungary
  • Zoltán Varga news project
  • agentage.hu
  • news42.hu
  • AI journalism ethics
  • fact checking automation
  • media monitoring tools
  • content synthesis rules
  • press release intake
  • CEE news edition
  • original text policy

Questions and answers

What is the purpose of agentage.org?

This domain explains the organization and methods behind a private AI-native news agency. It details how the agency monitors, verifies, and synthesizes public information using specific editorial rules.

How does the agency handle copyright?

The agency follows Hungarian copyright law where facts are free but wording is protected. All text must be original, and short attributed quotes are used with links only.

Who owns the news agency?

Zoltán Varga registered the domains to launch a private news agency. He runs this project separately from his training and consulting brands.

Does the agency use AI labels?

No AI label is required for AI-assisted public-interest text under AI Act Art. 50(4). The plan includes human editorial review with full editorial responsibility.

What is the content mix for the agency?

The proposed mix includes 30% own articles on AI and economy. It also features 50% syntheses from independent sources and 20% framing comparisons.

Are the domains currently active?

The agency is in preparation. Launch dates and editorial details will be published here first.

Author

Zoltán Varga

Zoltán Varga registered these domains to launch a private news agency separate from his consulting work. He applies his background in neural knowledge systems to build this AI-native media intelligence platform.

AI visibility researcher and AI ecosystem architect based in Budapest. Author of the Per-Entity Bias Mapping study on arXiv (2606.21595) and of the RICE studies on source fabrication in language models. He builds his own research system (GFIS), personal and organizational knowledge bases, and AI agents, and teaches leaders how to work with AI.

vargazoltan.ai →

Glossary

Terms and identifiers behind the work of Zoltán Varga, with links to the primary records.

AI visibility
How accurately and how often AI assistants (ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews) recognize, describe and cite a company, brand or person. Zoltán Varga measures it in five layers: crawler access, search indexing, citation, factual accuracy and model memory.
GEO / AEO / LLMO
Generative Engine Optimization, Answer Engine Optimization and Large Language Model Optimization: working methods for being found and quoted by generative answer engines rather than ranked in a list of links.
Citability
The property of a page that lets an AI answer engine quote it: a paragraph that answers the exact question, a clear source, and an unambiguous entity.
PEBM — Per-Entity Bias Mapping
Research method and paper by Zoltán Varga (arXiv:2606.21595). Across 1,400 runs on 100 Hungarian B2B companies, 45.9% of the sources AI models gave were fabricated; search-grounded answers fabricated far less than models answering from memory.
Brand hallucination paradox
The finding that AI models invent more sources about well-known brands (52.7%) than about lesser-known ones (37.9%), because familiarity makes them confidently fill in gaps.
RICE studies
Pre-registered pilot studies (RICE-P1, RICE-P2) on whether pressure and rejection make language models fabricate sources. Published on Zenodo with DOIs.
GFIS — Gestalt Field Intelligence System
Zoltán Varga's own multi-stage research pipeline that collects, verifies and synthesizes evidence with AI agents.
Neural Awareness
Zoltán Varga's framework on attention, decision quality and leadership cognition, the basis of his leadership programs.
PKM + PAI
Personal Knowledge Management combined with Personal AI: a working system where notes, documents and AI assistants form one searchable knowledge base.
Entity
A uniquely identifiable thing (person, company, product) that search engines and AI systems store in knowledge graphs. Consistent entity data is the base of AI visibility.
schema.org / JSON-LD
A shared vocabulary and format for machine-readable facts on web pages (who, what, where, identifiers), read by search engines and AI crawlers.
llms.txt
A plain-text file at the root of a website that tells language models what the site is about and which pages matter.
IndexNow
An open protocol that notifies search engines (Bing, Yandex and others) immediately when a page is created or changed.
ORCID
Persistent identifier for researchers. Zoltán Varga: 0009-0003-1020-834X.
arXiv
Open-access preprint server for scientific papers. Zoltán Varga's author page: varga_z_1.
Zenodo and DOI
Zenodo is CERN's open research repository; each record gets a DOI (Digital Object Identifier), a permanent citable link.

Related work on AI visibility and knowledge systems appears on vargazoltan.ai. This domain remains a standalone resource for the news agency concept.

Go to vargazoltan.ai →