Work — Cagenerated Font

Using tools like Runway ML or FontForge with AI plugins, designers navigate the "latent space" (the mathematical representation of font features). By sliding vectors, you can blend "Futura" with "Times New Roman" or "Comic Sans" with "Helvetica," creating weird, beautiful hybrids.

The system was used to generate two distinct outcomes:

You feed a neural network hundreds of high-quality TTF/OTF files. The AI analyzes the anatomy of type—ascenders, descenders, bowls, and stems. cagenerated font work

At its core, CG-generated font work refers to the use of computer algorithms, neural networks, and 3D rendering engines to create, modify, or complete typefaces. Unlike traditional font design, which relies solely on human penmanship and bezier curve manipulation, CG-generated work leverages data-driven models.

There are three primary forms of this technology: Using tools like Runway ML or FontForge with

If you are a designer ready to explore CG-generated font work, here is your starter kit:

Challenge: Legibility vs. Expression. As the algorithmic distortions increased, legibility often collapsed. Solution: A "Legibility Threshold" was coded into the script. If the distance between two points violated the recognition factor of the letter, the algorithm automatically corrected the spacing. This ensured the font remained functional even at high distortion levels. The AI analyzes the anatomy of type—ascenders, descenders,

Challenge: Curve Quality. Generating thousands of points computationally often resulted in jagged, low-resolution lines when exported. Solution: The data was passed through a smoothing algorithm (Chaikin’s algorithm) to convert hard polylines into smooth bezier curves before final export.