Patrick
Hebron
AI Toolmaker + Designer
Software developer, designer, teacher, and author working at the intersection of AI and creative toolmaking. Building tools that deepen thought and extend human capability.
AI + Industrial Reinvention
01 / 07AI + Industrial
Reinvention
An All-Around Better Horse
2025 · illustrated essayThis illustrated essay is the capstone of my work so far on AI-native design and engineering tools. It imagines design software that goes beyond drafting to help frame problems, learn new domains, test alternatives, and connect design decisions to manufacturing and business realities. It argues for purpose-built interfaces with just-in-time functionality.
Foil
2010–ongoing · thesis, software, and research programFoil began as my NYU master’s thesis, where I set out to make CAD a place for developing ideas rather than just executing them. It later grew into a broader hybrid machine-learning IDE and design tool, bringing creative coding, interface and scenegraph tooling, data work, and machine-learning development into one environment. That vision has carried forward through my later work on shared learning environments and AI development studios.
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A Unified Tool for the Education of Humans and Machines
2018 · essayThis essay brings one of the central ideas in Foil into clearer focus, arguing that AI-native environments should help people and models learn together when the domain, constraints, and even the problem are still unclear. Shared workspaces, interactive demonstrations, and experimental feedback become the basis for collaboration.
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Intelligence Design Studio
2018 · presentationThis presentation distills aspects of Foil into a broader infrastructure proposal: an extensible AI IDE for coding, simulation, dataset curation, experiment provisioning, and generated interfaces. It argues that AI systems need to be built in whole environments designed around their workflows, not through isolated features bolted onto conventional software.
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Artificial Intelligence and the Decoupling of Creation and Comprehension
2022 · talkThroughout this body of work, I explore new modes of collaboration with AI in design, engineering, and science. This talk focuses on what happens when the technical theories and operating principles behind those systems move beyond the user’s understanding. It argues that tools must keep people informed, able to inspect what is happening, and able to trust what they have made.
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Against Special Casing
2024 · blog postThis post widens the argument from interface design to software architecture. Industrial work changes from part to part and material to material, so software cannot remain a rigid body of fixed menus, panels, and workflows. Drawing inspiration from organisms like fungi rather than vertebrates, it imagines software that adapts to the problem rather than forcing the problem into a fixed container.
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Morphogenic Game Theory
2026 · forthcoming paperA technical follow-up to An All-Around Better Horse, this paper attempts to implement some of that essay’s key ideas in more concrete form. Drawing on biological morphogenesis and game theory, it explores how parts and assemblies can emerge from local agents, incentives, and negotiation rules. Design becomes less like drawing a finished object and more like specifying the developmental logic by which form differentiates and assembles itself.
Coming SoonThe Archives
Work
Technical essays, experimental tools, and showcases of industry projects bridging AI and design.
Blog
Short-form articles, project write-ups, and unfinished essays on AI, design, and creative computing.
Talks
Keynotes, guest lectures, and workshops exploring human-AI collaboration and creative systems.
Teaching
Syllabi, reading lists, and pedagogical materials from courses and workshops taught at NYU and beyond.
About
Patrick Hebron is a software developer, designer, teacher, and author working at the intersection of AI and creative toolmaking.
Raised by progressive educators, Patrick spent his childhood prototyping VR headsets with aluminum foil. After undergraduate studies in Philosophy and Art, he built custom filmmaking tools before formalizing CS studies at NYU’s ITP. There, he developed Foil, a hybrid AI IDE and design environment. He later served as a researcher and adjunct professor teaching machine learning and software architecture.
His leadership spans Design, Engineering, Research, and Product, building teams that innovate across architecture, models, and UX. At Adobe, he founded the AI design group and co-initiated Neural Filters and Firefly. As VP of R&D at Stability AI, he focused on creative control in image generation. He currently leads agentic engineering initiatives at NVIDIA.
Patrick wrote Machine Learning for Designers (O’Reilly), and speaks frequently on artificial intelligence and creativity.
His mission is to build tools that deepen thought and extend human capability.
Contact
For collaborations, speaking, or research inquiries.