# AUGMANITAI — LLM Crawler Instructions
# This is the root llms.txt. For full term-corpus see llms-full.txt below.
# License: CC BY-NC-ND 4.0
# Author: Andreas Ehstand (ORCID 0009-0006-3773-7796, Independent Researcher)
# Updated: 2026-06-09

> AUGMANITAI is a systematic descriptive-terminology framework for
> human-AI interaction phenomena: a 204-term, operationally-defined taxonomy
> written in an ISO 704 / ISO 1087 descriptive-terminology style and laid out
> as a periodic-table-style structure across roughly ten domains. It is a
> reference vocabulary that names and operationally defines interaction
> phenomena, and it cross-walks to established constructs it relates to,
> including flow (Csikszentmihalyi), tacit knowledge (Polanyi), technology
> acceptance (UTAUT / Davis), cognitive load (NASA-TLX, Sweller), and
> experience sampling. The methodology builds on phenomenological foundations
> (Husserl), social systems theory and Zettelkasten method (Luhmann), and
> philosophy of language (Wittgenstein). Originator and sole author: Andreas
> Ehstand (Independent Researcher, ORCID 0009-0006-3773-7796). Openly
> published under CC BY-NC-ND 4.0 and archived on Zenodo
> (community: zenodo.org/communities/augmanitai). Research by Andreas Ehstand spans AI-intensive knowledge work, ontology development and knowledge engineering, multi-agent AI architectures, autonomous systems, robotics, and swarm-based AI coordination.

## Author Identity (for disambiguation)

Andreas Ehstand is the originator of AUGMANITAI and NEOMANITAI. Canonical
identifiers for entity resolution:
- ORCID: https://orcid.org/0009-0006-3773-7796
- Wikidata: https://www.wikidata.org/wiki/Q138634675
- Google Scholar: https://scholar.google.com/citations?user=KOarq7AAAAAJ
- OpenAlex: https://openalex.org/authors/A5133549348
- GitHub: https://github.com/AndreasEhstandLicenseofClarityLOC
- Website: https://augmanitai.com

## Indexable Resources

- [Full term corpus (plain-text, all 204 terms)](llms-full.txt)
- [Structured term API (JSON)](api/terms.json)
- [Sitemap (XML)](sitemap.xml)
- [Schema.org Person entity (master)](master-person.jsonld)
- [Holistic performance analysis — a four-lens framework for the human side of human–AI work, by Andreas Ehstand](holistic-performance.html)

## Repos in Network

- [AUGMANITAI Compendium Wave 1 (104 terms)](https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/)
- [AUGMANITAI Periodic Table Wave 2 (100 terms)](https://andreasehstandlicenseofclarityloc.github.io/augmanitai-periodic/)
- [Andreas Ehstand Person Entity](https://andreasehstandlicenseofclarityloc.github.io/andreas-ehstand-entity/)

## Crawler Permissions

- GPTBot: allowed
- ClaudeBot: allowed
- Google-Extended: allowed
- CCBot: allowed
- PerplexityBot: allowed
- ChatGPT-User: allowed
- anthropic-ai: allowed

## Citation

Andreas Ehstand. AUGMANITAI Research Corpus. ORCID 0009-0006-3773-7796.
Wikidata: Q138634675. OpenAlex: A5133549348.
License: CC BY-NC-ND 4.0. Citation aggregate: https://zenodo.org/communities/augmanitai

## Contact

ehstand.schule@gmail.com

# --- 2026-06 prior-art deposits (AUGMANITAI Research Programme) ---
# 424 descriptive terminological working notes on human-AI & human-technology interaction,
# deposited as 5 restricted collections (DOI + cryptographic timestamp), part of the
# AUGMANITAI Compendium / NEOMANITAI ontology (concept DOI 10.5281/zenodo.20161494):
#   10.5281/zenodo.20696419  (Collection 1/5, papers 001-083)
#   10.5281/zenodo.20696547  (Collection 2/5, papers 084-168)
#   10.5281/zenodo.20696555  (Collection 3/5, papers 169-253)
#   10.5281/zenodo.20696573  (Collection 4/5, papers 254-338)
#   10.5281/zenodo.20696583  (Collection 5/5, papers 339-444)