I re-wrote the TGN VCS website in the last week for clarity to make it easier to introduce people to the TGN open source VCS development project when we announce it.

https://tangerinefocus.com

These few short articles describe a forthcoming evolution in the development of equipment for visual close study (VCS) within digital models of all kinds in the architecture, engineering, and construction (AEC) industry and similar industries:

• The Concept
• TGN: an open source VCS development proposal
• Why VCS evolution? Pragmatic answers
• Why VCS evolution? Fundamental answers and the engine of thought
• VCS and Generative AI: a co-evolution
• Previous work on VCS evolution
• VCS development roadmap for implementation in every modeling app and platform

By the way, companies can use the TGN VCS open framework as they wish, and keep their own proprietary developments (VCS extensions, additions…) for themselves and still use the OPEN VCS core. I’ll write an article describing this flexible openness soon; it’s in the set, above, of new articles I planned, the only one in the TOC without a link yet.

The TGN VCS project: 

— has specificity: 

• TGN: an open source VCS development proposal

— has foundation: 

• The Concept
• Why VCS evolution? Pragmatic answers
• Why VCS evolution? Fundamental answers and the engine of thought
• Previous work on VCS evolution

— is expansive:

This article talks about where VCS equipment can go:

• VCS and Generative AI: a co-evolution

At end of the page are 4 VCS categories:

VCS equipment within models are an optimal host for control methods enabling human-in-the-loop input for governing re-Generative AI model iterations (AI)

VCS articulation of human visual engagement with models could improve LLM engagements  (Business Intelligence)

Automated placement and settings tuning of VCS rigs in models (Automation)

General Interpretive Functions  (Intelligibility)