augmanitai

Public works — start with a question

Andreas Ehstand’s public work connects human–AI collaboration, performance, creative thought, experiential knowledge, agents and robotics. This guide groups selected original works by the question they address.

Author identity: ORCID · Author profiles and channels · Structured works · BibTeX · CSL JSON

AI-assisted, author-maintained navigation. The linked works retain their original titles, dates, editions and licences. A conceptual proposal, a commentary and an empirical study are different kinds of work.

Performance and judgment / Leistung und Urteil

• Four practical questions for analysing your own performance when working with AI

Agents and robot fleets / Agenten und Roboterflotten

• The Robot-Fleet Operator Unit: Embodied Machines as Standing Parts, Physical Contact as Independent Reply (Conceptual Note, EN/DE)
• Swarms and Multi-Agent Collectives: Why the Measurement Line Decides Success or Mismeasurement (Conceptual Note, EN/DE)

Passing on experience / Erfahrungswissen weitergeben

• Gedankenvererbungslehre: A Conceptual Framework and Five Proposed Dimensions (Republication of the 21 February 2026 First Edition)

Human–AI dialogue / Mensch–KI-Dialog

• Feeling Understood by Conversational AI: A Taxonomy and a Recognition–Disclosure Hypothesis
• AUGMANITAI: Definition and Priority Registration of an Internalised, World-Coupled Multi-Model Mode of Thinking

Terms and traceable editions / Begriffe und nachvollziehbare Ausgaben

• AUGMANITAI Public Lexicon — 101 Bilingual Terms of Human-AI Interaction (Permanent Archival Snapshot of the Open Web Edition)
• The Universal Concept Layer: Language as Versionable Code — A Meaning Layer between Humans, Language Models, Agents, and Robots — bilingual text edition
• The Universal Concept Layer: Language as Versionable Code — A Meaning Layer between Humans, Language Models, Agents, and Robots — PDF edition of the same older public paper

Working-paper title and abstract register / Titel- und Abstractregister

• AUG-WP Working Paper Series V3 (2026): Public Title and Abstract Register — 225 Working Papers on Human-AI Interaction

Practical articles and current commentary

Original articles and the three newsletter series are linked in the public graph. Their source URLs remain separate from the papers they discuss.

Citation and reuse

Use the DOI of the particular work and edition being cited. A mirror or catalogue entry does not replace the original source or alter its licence. Citation metadata.

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