"CAGenerated" (a stylistic shorthand for "Creative AI Generated") refers to the use of machine learning models—GANs, VAEs, and LLM-driven scripting—to produce original, usable typefaces. What once took a foundry months can now be conceptualized, generated, and refined in a single afternoon.
import fontforge f = fontforge.open("base_font.sfd") for glyph in f.glyphs(): if glyph.isWorthOutputting(): glyph.round() # Clean AI artifacts f.generate("ai-assisted-font.ttf") AI is notoriously poor at spacing. Letters like ‘AW’ or ‘To’ will overlap awkwardly. Use tools like KernOn (free) or Glyphs App to manually adjust kerning pairs. For bonus points, ask an LLM to generate a list of common ligature combinations (‘fi’, ‘fl’, ‘Th’) and script their creation. Part 3: Top Tools for CAGenerated Font Work in 2025 The ecosystem has exploded. Here are the essential platforms:
Open Midjourney or Firefly tonight. Generate a single letter ‘S’. Then another. Then ten. Try to build a wordmark. You will fail beautifully. And then you will learn.
The future of type is not human vs. machine. It is human and machine. Welcome to the age of cagenerated font work. Have you created an AI-generated typeface? Share your process and results in the comments below. For more tutorials on neural typography and generative design, subscribe to our weekly newsletter.
The designer’s role has shifted from draftsperson to curator . You no longer need to draw every bézier point from scratch. Instead, you guide the AI, correct its blind spots, inject humor, space the kerning pairs, and protect the legal boundaries.