
Antaeus fighting Heracles, in a 1634 painting by Francisco de Zurbarán

Heracles and Antaeus, red-figured krater by Euphronios, 515–510 BC, Louvre (G 103)
Code as canvas: Typographic mosaic for SIEMENS' 'A Better Way of Coding' campaign. ASCII-inspired digital art created with my custom algorithms, in collaboration with Ogilvy New York.

Splash screen of the ALICE bot website in the early 00s.

Sharing visual innovation: Conducting a remote workshop with American Association for the Advancement of Science (AAAS) Science magazine's creative team on integrating GenAI into editorial illustration while maintaining artistic integrity. My approach combines traditional mosaic techniques with emerging AI tools to create scientifically accurate yet visually compelling imagery.

Fine-tuning perception: The control panels of my Mozaix application reveal what lies beneath AI's seeming 'magic' - careful human decisions about how different visual elements are weighted and prioritized. Here you can see how I've designed my RS1996Matcher algorithm to balance color means (35%), brightness (15%), and other visual features when analyzing images. This granular control embodies my philosophy that creative professionals shouldn't merely consume AI tools but understand and create them. By developing custom solutions with transparent parameters, we maintain agency over the technology rather than surrendering to black-box algorithms.

From creator to contemplation: Nino Di Salvatore, founder of Scuola Politecnica di Design where I studied, taught us that true understanding requires time. This transition illustrates his wisdom: 'To understand a work, spend the entire day with it.' In our AI-driven rush for instant generation, we must remember that deep seeing—becoming one with the artwork through focused observation—remains the foundation of meaningful creation. This practice of dedicated time and attention is what grounds us as creative professionals in the age of machines.

Behind the mosaic: A glimpse of my custom Mozaix application's GestaltMono matching algorithm, which implements visual perception principles from my design education into code. Rather than relying on off-the-shelf AI, I've built specialized tools that combine classical Gestalt theory with modern computational methods—turning the abstract concept of 'how we see' into mathematical relationships that evaluate structural similarity, symmetry, and regional contrast. This represents my 'Creation' principle in action: developing our own solutions rather than simply consuming what's available.

Behind the mosaic: This animation showcases the architecture of my custom Mozaix application, using South African singer Tyla's face as the test subject. The sequence reveals the system's depth: from core code with precisely calibrated feature weights to specialized components including machine learning algorithms, saliency detection, edge recognition, and both geometric and irregular grid systems. Each screen represents months of research—showing what's possible when creative professionals build their own tools rather than relying on generic solutions. Not just software, but a philosophy of digital craftsmanship made visible.

"Two Roses" - A digital mosaic composed of hundreds of carefully selected natural images, including shells, marine life, and botanical illustrations. Created through my proprietary algorithms that long predated today's GenAI tools, this piece exemplifies what I call 'poetic algorithms' - custom computational methods grounded in Gestalt principles of visual perception. Each element is precisely positioned based on color, texture, and structural similarity to form the larger image, demonstrating how algorithmic approaches can be deeply human when guided by artistic intention rather than automation alone. This work represents the bridge between my early digital explorations and my current approach to AI-enhanced creativity.

Automation with intention: My Mozaix application processing multiple images simultaneously through custom algorithms. While AI can generate quick results, true creative control comes from developing your own tools. This batch processing capability represents the balance I advocate—leveraging machine efficiency for repetitive tasks while preserving human decision-making for artistic choices.

The Grounded Creative: A framework for staying rooted while embracing AI. This mind map summarizes my approach to creative technology—balancing earth-based foundations like logic and natural rhythms with purposeful tech fluency. At its core is the understanding that AI serves as tool rather than master, that scientific inquiry provides real knowledge, and that creative integrity comes from articulating your unique purpose. Whether working with my Mozaix application or exploring open source tools, this philosophy guides my practice: meaning trumps output, slower often means deeper, and authentic connection rises above algorithmic noise.