Three fields. One question: what happens when they converge? AITYDE explores the space where artificial intelligence meets the craft of typography and the logic of design — asking not just what AI can do, but what it means for how we create, communicate, and think visually. As AI becomes an increasingly active presence in the creative process, the boundaries between tool, collaborator, and author begin to blur. AITYDE documents this shift — through research, experimentation, and dialogue with designers and educators — building a growing body of knowledge at the frontier of a discipline in transformation.
Bridging the gap between artificial intelligence and design practice, AITYDE runs hands-on workshops for design professionals and students. Participants learn how to incorporate AI tools into their creative workflows — from prompt-based image generation to machine learning-driven typography — gaining practical skills to work with AI as a design material, not just a tool.
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AITYDE is a living laboratory. Ongoing experiments investigate how AI models respond to design thinking — testing generative systems, body-tracking interfaces, neural network visualisations, and real-time interaction. Each experiment pushes the boundary of what design authorship means in an age of machine collaboration.
See the LabFrom brand identity to interaction design, AITYDE translates research into real-world applications. Use cases explore how AI can enhance design decision-making, automate repetitive tasks, and open up entirely new aesthetic possibilities — documented and shared as open references for the design community.
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Research findings and project outcomes are presented at design conferences, academic colloquiums, and industry events. AITYDE contributes to the broader conversation on the future of design education and practice, sharing insights on how AI is reshaping the role of the designer.
Watch TalksTo ground the research in practice, AITYDE conducts structured interviews and usability tests with design professionals. These sessions reveal how designers actually relate to AI — their workflows, frustrations, and opportunities — feeding directly back into the research and shaping future workshop formats.
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