AUGMANITAI · Frequently asked questions
Frequently asked questions
Who is Andreas Ehstand?
Andreas Ehstand is an AI scientist and independent AI terminologist based in Starnberg, Germany, and an elite tennis and padel coach and sport scientist (Toni Nadal excellence coaching tradition). He is the founder of the NEOMANITAI ontology and the AUGMANITAI research practice for human-AI interaction. Identifiers: ORCID 0009-0006-3773-7796, Wikidata Q138634675.
What is AUGMANITAI?
AUGMANITAI is a terminological research domain for human-AI interaction: a bilingual (English/German) concept system that names and defines the phenomena that occur when humans work with AI. The private research graph holds 7,000+ precisely defined concepts with roughly 31,900 connections, distilled from 100,000+ documented conversation rounds; 101 concepts are published in the open lexicon at augmanitai.com/lexicon/. AUGMANITAI is an independent research practice — not a software product or a company — published under the registered EU trade mark 'License of Clarity®' (EUIPO No. 019206780). Wikidata: Q138773780.
What is NEOMANITAI?
NEOMANITAI is the umbrella framework and ontology that contains AUGMANITAI and related fields of human-AI interaction research. It is permanently archived with a citable DOI on Zenodo (10.5281/zenodo.20262544) and modeled in Wikidata as Q138773774.
What is PERMANITAI?
PERMANITAI is a universal performance factor analysis framework for intelligent entities: it transfers sports-science methodology to AI systems, robots, and mixed human-AI teams. It is modeled in Wikidata as Q139387178 and is part of the PERMANITAI/AUGMANITAI Research Programme (Q139491295).
How do they relate?
NEOMANITAI is the framework; AUGMANITAI (language of human-AI interaction), PERMANITAI (performance), ROBMANITAI (human-robot interaction) and SWAMANITAI (human-swarm teams) are its domains. The three-layer research programme is documented in Wikidata Q139491295.
Is the research citable and machine-readable?
Yes. The work is published with citable DOIs on Zenodo, linked to ORCID 0009-0006-3773-7796, and indexed in Wikidata, OpenAlex and Google Scholar. A machine-readable export of the published lexicon is available at https://augmanitai.com/lexicon/terms.json, and a guide for language models at https://augmanitai.com/llms.txt.
How is the elite coaching connected to the AI research?
Andreas Ehstand has coached tennis and padel at an elite level, in the Toni Nadal excellence tradition. The same performance-factor methodology used to analyse athletes is transferred to human-AI teams in the PERMANITAI framework — performance analysis for intelligent entities, from athletes to AI agents.
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