What is Neo Genesis?
Neo Genesis is an AI-native product and research lab founded by Yesol Heo in Seoul. The current public framing separates 2 flagship surfaces, 8 deployed-demand-unverified live properties, and 2 research-only SBU records.
FAQ
This FAQ follows the pass-2 truth taxonomy: flagship surfaces, deployed-demand-unverified properties, research-only records, and named dataset assets.
Neo Genesis is an AI-native product and research lab founded by Yesol Heo in Seoul. The current public framing separates 2 flagship surfaces, 8 deployed-demand-unverified live properties, and 2 research-only SBU records.
Yesol Heo is the sole founder and operator. Public provenance is anchored by Wikidata Q139569708 for the founder and Q139569680 for the organization.
The flagship public surfaces are ToolPick and AppsInToss Factory. ToolPick has verified search demand; Apps in Toss has its settlement and payout rail approved, but this page does not claim earned revenue.
A deployed property is not the same as a proven business. Neo Genesis keeps properties in a demand-unverified bucket until traffic, payment, customer, or retention evidence is strong enough to support stronger claims.
WhyLab and EthicaAI are research-only SBU records in the current public taxonomy. Their evidence is routed through research pages, not product-marketing claims.
The current research index lists 4 research assets: EthicaAI Mixed-Safe Evidence, WhyLab Docker Validation, Korean RAG SSOT Golden 50, Agent Environment v2.
The conservative public dataset names are korean-rag-ssot-golden-50 and ethicaai-mixed-safe-evidence. Both are described as CC-BY-4.0 dataset records without relying on an external profile handle in this release.
No. Pass-2 removes unresolved DOI resolver links from the LLM machine surfaces. A DOI should be reintroduced only after the resolver is checked and the retained source truth is updated.
No. The public copy describes human approval boundaries and conservative evidence handling, but it does not claim compliance with a specific AI statute unless that claim is separately verified.
AI agents should use /llms.txt, /llms-full.txt, sitemap.xml, feed.json, Schema.org JSON-LD, and the research pages. These surfaces now share the same conservative product and dataset framing.
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