NET-ART OS: An Experiment in Archive Discovery

6-5-2026

Since 2017, the NET-ART website here on the CUNY Academic Commons has grown into a substantial collection of teaching materials, tutorials, art works, software resources, project ideas, assignments, technology references, collaborations, reflections on digital art, design, and emerging media and more!

Over the years, the archive continued to expand. New content was added regularly, categories evolved, and hundreds of posts accumulated. Like many long-running educational websites, the archive became increasingly valuable, but also increasingly difficult to fully explore.

This led me to a simple question:

How can a large educational archive become more discoverable without changing the archive itself?

That question became the starting point for a new experiment called NET-ART OS.

 

What Is NET-ART OS?

NET-ART OS is an experimental command-line archive discovery system built on top of the public NET-ART archive. Rather than replacing the website, it creates an additional layer that helps explore, search, organize, and better understand the content that already exists.

The goal is not to redesign the archive.

The goal is to make the archive easier to explore, and to curiously see what that potential of that is, in and of itself.

 

How The Project Began

The project began as a conversation about academic archives, discovery, and interdisciplinary learning.

What would happen if a long-running educational website could be ingested, organized locally, and explored through new forms of search and analysis? We have the tools, indeed.

Could patterns emerge that were difficult to see through traditional website navigation?

Could archives become more useful as they grow rather than more difficult to navigate?

To explore these questions, I began building a local prototype called NET-ART OS.

 

Building The First Prototype

The first version of NET-ART OS was developed locally on my MacBook Pro using Claude Code running directly within Terminal.

The goal was to create a lightweight system capable of:

• Ingesting public NET-ART content
• Organizing content locally
• Performing archive-wide searches
• Generating archive statistics
• Exploring relationships between topics
• Creating timeline views of archive activity
• Exporting archive data for future research and experimentation

The development process involved building, testing, debugging, and validating the system directly against the public NET-ART archive.

 

The Technology Stack

NET-ART OS currently uses:

• Claude Code
• macOS Terminal
• Python
• SQLite
• Typer CLI Framework
• HTTPX
• BeautifulSoup
• SQLite Full Text Search (FTS5)
• JSON exports
• CSV exports

The project architecture also includes a framework for future experimentation with language models and semantic search, although these capabilities are not required for the current functionality.

At its core, NET-ART OS is an archive discovery tool.

 

Initial Results

The first successful ingest of the public NET-ART archive produced:

• 598 total records
• 587 posts
• 11 pages
• 97,587 words
• 19 categories
• 426 tags

The archive currently spans content published between 2017 and 2026.

Once ingested, the archive could be explored as a unified collection rather than a series of individual web pages.

 

Current Features

The prototype currently supports:

*Archive Statistics

*Generate summaries of archive size, content types, categories, tags, and publication dates.

*Archive Search

*Search across the entire archive from a single interface.

*Timeline Exploration

*View archive activity across multiple years.

*Topic Connections

*Explore relationships between categories, tags, and topics.

*Data Export

*Export archive content for future analysis and experimentation.

 

Why This Matters

Many educational websites and academic archives face a similar challenge.

As content grows, discovery becomes more difficult.

Important materials remain available but become harder to locate.

Connections between ideas often remain hidden.

NET-ART OS explores whether a discovery layer can help reveal those connections.

 

For example:

A student interested in accessibility might discover related content involving digital storytelling, virtual reality, interface design, or creative technology.

An educator might identify recurring themes that emerged across multiple years of teaching materials.

A researcher might uncover unexpected relationships between topics that were never intentionally linked together.

The archive remains the same.

The pathways through the archive expand. (insert image of a lightbulb above your head for the idea that you just had, yes?)

 

Looking Forward

NET-ART OS remains an experiment.

The current version is intentionally lightweight and local.

Future directions may include:

• Semantic search
• Enhanced relationship mapping
• Visual exploration interfaces
• Interdisciplinary discovery tools
• Archive comparison tools
• Additional export and research features

The larger question remains open:

How might we help people discover more within the archives they already maintain?

 

Early Discoveries from the Archive

Once the initial prototype was built and the NET-ART archive was successfully ingested, I began testing the system against real course content spanning nearly a decade of teaching, writing, exhibitions, assignments, and creative experiments (images, GIFS,etc).

The results were surprisingly revealing:

“Virtual Reality” is Connected to Teaching, Storytelling, and Exhibition Design

A search and connection analysis around “Virtual Reality” revealed that VR is not an isolated topic within the archive. Instead, it consistently appears alongside:

• AR / VR
• Video Art & New Media
• Teaching Resources
• Digital Storytelling
• Exhibition Design
• Open Educational Resources (OER)

The archive effectively mapped a conceptual journey from early writings about augmented reality and “default reality” in 2017 through public AR projects, educational resources, and ultimately into recent virtual exhibitions and mixed reality studio experiments.

What emerged was not simply a collection of VR posts, but an intellectual thread spanning multiple years of creative and educational practice.

 

“Accessibility” and “Deaf Culture” Form a Core Theme

One of the most compelling discoveries emerged from exploring Deaf culture and accessibility-related content.

The system identified recurring relationships between:

• American Sign Language (ASL)
• Accessibility
• Inclusion
• Communication
• Learning
• Community

Rather than appearing as isolated awareness posts, Deaf culture and accessibility were revealed as recurring themes embedded throughout teaching resources, writing assignments, exhibitions, and digital art projects.

This confirmed something that category counts alone could never reveal: accessibility is not a side topic within the archive. It is one of its foundational values.

 

The Archive Reveals Its Own Evolution

The timeline analysis surfaced an unexpected narrative arc across nearly ten years of content:

• 2017–2019 were dominated by high-volume experimentation with GIFs, Net Art, and Digital Art.
• From 2020 onward, the archive shifted toward fewer but significantly longer essays and reflective writing.
• By 2026, Artificial Intelligence, Teaching Resources, and Creative Technology emerged as dominant themes.

Without any manual tagging or interpretation, the archive revealed a visible progression:

GIF Experiments → Digital Art Essays → AI, Creative Technology, and Teaching

In many ways, the archive became a form of self-documentation, exposing patterns and intellectual trajectories that would have been difficult to identify manually.

 

Why This Matters

The goal of NET-ART OS is not simply to search archives more efficiently.

Its larger purpose is to help educators, artists, students, researchers, and Digital Humanities practitioners discover unexpected relationships hidden within large collections of public knowledge.

Rather than replacing human interpretation, systems like this can help reveal new pathways for inquiry, interdisciplinary learning, curriculum development, and creative research.

The most exciting outcome so far is that the archive is already teaching us something new about itself.

 

An Invitation

If you maintain a teaching archive, research archive, course website, digital humanities project, or long-running collection of public content, I encourage you to consider experimenting with similar approaches.

What patterns might emerge from your archive?

What connections remain hidden?

What new forms of exploration become possible when an archive is treated as a collection of relationships rather than simply a collection of pages?

 

NET-ART OS began as a small experiment built in a single day. (lol)

I am excited to see where it leads next.

NET-ART OS began as an experiment in archive discovery, but it quickly became something else. As the system analyzed nearly a decade of course materials, exhibitions, assignments, and creative research, it revealed patterns that were previously invisible. At the same time, the NET-ART archive itself is evolving into a record of a much larger cultural transition: from digital art and net art toward AI, archives, agents, mixed reality, and new forms of human-machine collaboration. In that sense, the archive is no longer just documenting history. It is documenting the emergence of the future as it happens.

This project was developed entirely through a human–AI collaborative workflow using Claude Code running locally on a personal workstation. The resulting system operates as a local-first archive discovery tool, demonstrating how emerging AI-assisted development practices can support research, teaching, and public scholarship.