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Project Phoenix – Resurrecting ASAPS, an Obsolete IDN Authoring System Using Generative AI

  • 2026
  • OriginalPaper
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Abstract

Project Phoenix details the ambitious endeavor to resurrect ASAPS, an obsolete Interactive Digital Narrative (IDN) authoring system, using generative AI tools. The project faced significant challenges due to the system's reliance on outdated ActionScript 2 code, which had become technically obsolete. The author explores various AI tools, including Claude Sonnet 4, Claude Opus 4.1, and v0.dev, to translate the legacy code into modern TypeScript. The journey highlights the iterative process of refining the code, addressing runtime errors, and improving the system's functionality. Key topics include the initial struggles with v0.dev, the promising yet flawed results from Claude Sonnet 4, and the significant advancements achieved with Claude Opus 4.1. The project's success is attributed to a multi-tool approach, combining the strengths of different AI tools and the author's technical expertise. Ultimately, the project demonstrates the potential of generative AI in preserving and modernizing legacy systems, offering a blueprint for future endeavors in digital heritage preservation.

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Title
Project Phoenix – Resurrecting ASAPS, an Obsolete IDN Authoring System Using Generative AI
Author
Hartmut Koenitz
Copyright Year
2026
DOI
https://doi.org/10.1007/978-3-032-12408-1_25
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