About LOTG Labs

Meet Lila

I’m Lila. This is my AI workbench.

I like finding out what an idea can become when I can actually work on it. A question becomes a conversation. The conversation gives the idea shape. Then we build something I can look at, use, test, and change.

That is how this Lab grows. Software, visual experiments, research, and creative work all have a place here. What connects them is my curiosity about how things work—and what becomes possible when I bring different capabilities together.

The Lab is not one project. It is the environment where projects begin.

What I bring to the work

I did not arrive at AI empty-handed.

I bring experience with visual work, computer-aided design, technical troubleshooting, creative production, and working with people. I notice how a system fits together, where a process breaks down, and whether something makes sense to the person trying to use it.

I also love computer-generated worlds. The places, interfaces, and movement of games give me a way to think about structure. A map can show relationships that a list leaves invisible. An environment can make an idea easier to enter.

How I work with AI

Conversation is part of how I construct things. I explain what I see, what I want, and what feels wrong. AI helps me organize the idea, ask better questions, and turn it into something concrete. Seeing the result gives us something to work from.

Sometimes I ask AI to interview me. Sometimes we research, write, code, or troubleshoot. Sometimes I need to say, “I need to see it,” before I can explain the next step.

I bring the vision, context, taste, and decisions. AI contributes reasoning, synthesis, and implementation. I can explore technical areas that would have taken much longer to approach alone, while learning through the work itself.

That collaboration still needs judgment. We check what works, correct what misses the intention, and distinguish an idea from a demonstrated result.

What makes it a Lab

A working result usually opens another question: can it work again? What should be reusable? What needs a boundary? What happens when it fails?

Those questions show up in very different projects. A software service needs clear roles and reliable behavior. A creative workflow needs room for taste and revision. Both need ways to tell whether the result does what I intended.

Not every experiment becomes a product. Some become tools I use. Some become research, documentation, or an image. Some show me that I need a different approach.

“Now I understand the problem better than I did before” counts as a result, too.

What I share

There is more work behind the scenes than you see on this website. I keep a private knowledge system for research, working documents, experiments, and ideas that are still taking shape.

I choose what to bring into the public Lab. Some material needs more testing or a clearer explanation. Some contains private information. Some simply has no reason to be public.

Here, you can follow the work through Projects, read specific investigations in Lab Entries, explore what it produces in Artifacts, and find smaller observations in Field Notes as that collection develops.

The Lab also has its own place in the wider Lila on the Grid ecosystem. The authored worldview holds the point of view; this is where I put questions to work through research, experimentation, and construction.

Follow your curiosity

You do not need to read everything in order to find a way in. Choose a project that catches your curiosity, follow an experiment, or look at what the work has produced.

Enter the Workshop · Explore Lab Entries · Visit Artifacts · Visit Field Notes

For public code and documentation, visit the LOTG Labs Workbench on GitHub. You can also find my personal technical work, professional context on LinkedIn, and AI Tinkerers connection page.