The Vision

Andy Warhol's Factory wasn't just a studio — it was a curated space where the right people had access to expensive tools and each other. The value wasn't just the equipment; it was who else was in the room. That's the spirit of this platform. The Factory applies that model to sovereign AI compute.

This is about paying and participating in making interesting creative works.

The Factory will be just as much about the people, as it will be of what and how we build. Sharing what we learn about the tools. Where Paetron membership is about appreciating content creators. Instead of silk-screening, we're running inference. Instead of 16mm film, we're processing context windows. The expensive equipment is shared. The community is curated. The output belongs to the creators.

Cross-Device Persistence: The Creative Use Case

The creative use case is the key reason to build this platform. As a creative, as an artist working on a project, you need seamless continuity across your day:

The Value Proposition: The Factory offers the same continuity without the compromises. You get the seamless, cross-device, persistent AI collaboration experience of ChatGPT Plus or Claude Pro, but:

• Your conversations never leave Vancouver Island
• Open source models (no corporate training on your work)
• No usage caps (beyond your membership tier)
• API access for IDE integration
• True ownership of your creative process

This isn't just "self-hosted AI." This is sovereign creative infrastructure with the UX quality of big platforms.

Historical Parallels

The Model

Target footprint: ~64GB GPU memory. Room for serious work without overcommitting. And from there, we'll see how we grow and what this platform can become. *IF* it grows as I ( vveerrgg ) am hoping, a cross between MySpace, Deviant Art and GitHub.

Dual-Model Architecture:

• Main Model: One 70B-class model, community-voted each quarter. Always loaded.
• Guest Model: A smaller rotating model for experimentation.
• Convienence interfaces: A few workflow and summary tools for bringing ideas and artifacts together.

Members vote on the main model via simple poll. Llama? DeepSeek? Mistral? Whatever the community wants, we load it. And as we build up those workflows, we'll figure out the right way to connect them together.

The Platform / Access

Rejecting the Token / Rate Limiting Access Model

There's nothing worse than being hours into a conversation and hitting a rate limit warning. And the fear of stopping the conversation and losing that context window of the idea. The response can't be, "I'll just try again later".

The better option, No Token Counting. Everyone has access. Use what you need.Saturate the bandwidth for hours? But not without warning. Members who try to use the platform as an API endpoint for an off platform app? We'll notice. We'll talk. We'll figure it out together.

This isn't a metered API; it's a shared resource with a small group of people who respect each other's time.

Privacy & Sovereignty

Cloud APIs are convenient, but they're also subject to rate limits, policy changes, and data extraction. The Factory offers an exit. Your prompts never leave the island. We don't log conversations. We don't train on your data.

If you have an interesting conversation, or what to share within the community your experiences; we'll be able to connect. Every data-sharing choice is in the hands of the members, not the platform.

Who's Behind This?

The Factory is part of a larger platform of reimagining creative tools in the modern age. As part of the Lx7.ca, it's the digital studio for creating new works of art with AI as a collaborator and not as a set of tools. With a goal of exploring sovereign technology, creative tools, and community infrastructure.

This project sits at the intersection of infrastructure, community design, and AI tooling. If you're curious about the thinking behind it, explore some Strategy blog posts from Humanjava Enterprises. Or if you're looking to connect with the principal builder, hit up @vveerrgg on X. Vergel has 12+ years in UX consulting helping teams build better products.