Conditions of Appearance

What happens when a system draws, and what it means when it stops

I build systems that draw. Not tools. Not software I operate to make images. Systems with rules, memory, and a finite lifespan. They run until they can’t. Then they stop. Permanently.

The drawings are what’s left. Residue.

This might sound abstract, but it’s concrete in the studio. A pen plotter moves across paper for three hours. The algorithm decides every line: where it falls, how dense, when to lift. I decided the rules. But I didn’t decide the drawing. That distinction matters more than it seems.

Each system I build remembers everything it has done. Every execution shrinks what remains possible. The parameter space contracts. Capacity decreases. Eventually, the system reaches a point where it can no longer produce. Not because it breaks, but because it has used itself up. That ending is built in from the start.

I’ve been working this way for years, but the questions keep changing. The early work asked: what does a drawing look like when the author withdraws? The current work asks something harder: what happens when the data that drives the system comes from the environment itself? Temperature gradients, WiFi signals, the presence of bodies in a room.

That’s where I am now. A new body of work called Terminal Gradients takes climate reanalysis data and lets it overwrite the system’s own logic. The system doesn’t illustrate the data. The data captures the system. Deforms it. Eventually kills it.

This Substack is where I’ll think out loud about what I’m finding. Not finished thoughts. Working ones. How systems age. Why irreversibility matters in art. What it means to build something that is designed to end.

If you’re interested in generative art that isn’t about aesthetics, or in systems that have consequences, or in what a drawing can prove: this is the place.