Last Mile Hell: A Geek Tragedy in Four Architectures

Last Mile Hell: A Geek Tragedy in Four Architectures” is a first-of-its-kind hybrid publication—part creative fiction, part research ethnography, part methodological demonstration of the Collaborative Thought Engine (CTE). Across five episodes, four independent AI systems (ChatGPT, Claude, Gemini, and Copilot) each read the preceding episodes and then authored their own canonical installment in their native linguistic and behavioral style. The result is a theatrical, data-rich documentation of emergent parapersonal dynamics in multi-agent human–AI collaboration. This work serves simultaneously as a sitcom, a cognitive study, and a reproducible experiment in multi-model narrative generation. Researchers, writers, and AI practitioners are invited to view it both as entertainment and as a blueprint for future multi-AI collaborative methodologies.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-29
DOI
https://doi.org/10.5281/zenodo.17762872
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
0.00
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article

Last Mile Hell: A Geek Tragedy in Four Architectures

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Games
article

Last Mile Hell: A Geek Tragedy in Four Architectures

article en

Abstract

Last Mile Hell: A Geek Tragedy in Four Architectures” is a first-of-its-kind hybrid publication—part creative fiction, part research ethnography, part methodological demonstration of the Collaborative Thought Engine (CTE). Across five episodes, four independent AI systems (ChatGPT, Claude, Gemini, and Copilot) each read the preceding episodes and then authored their own canonical installment in their native linguistic and behavioral style. The result is a theatrical, data-rich documentation of emergent parapersonal dynamics in multi-agent human–AI collaboration. This work serves simultaneously as a sitcom, a cognitive study, and a reproducible experiment in multi-model narrative generation. Researchers, writers, and AI practitioners are invited to view it both as entertainment and as a blueprint for future multi-AI collaborative methodologies.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 21%
Artificial Intelligence in Games
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