The MaCAD is a unique online programme training a new generation of architects, engineers and designers ready to develop skills into the latest softwares, computational tools, BIM technologies and AI towards innovation for the Architecture, Engineering and Construction (AEC) industry.
Every great building begins as a small model and a messy desk Abstract As architects we spend hours making physical study models, cutting foam, assembling balsa, running the 3D printer. These models are essential, but the process is slow. Crafty Studio asks a simple question: “What if you could see your design as a physical … Read more
A close reading to a Herbert A. Simon’s 1962 essay “The architecture of complexity” paper. Simon was a polymath: economist, cognitive scientist, organization theorist, AI pioneer, and design thinker. The paper moves across domains rather than staying inside one discipline, searching for structural patterns shared by very different complex systems. Context: AI as a Complex … Read more
The promise of AI agents is compelling: systems that can sense their environment, plan strategically, take action, and learn from experience. But as organizations begin deploying these systems in production, a troubling reality emerges. The very capabilities that make AI agents powerful—their ability to reason, adapt, and solve novel problems—also make them frustratingly unpredictable. This … Read more
PART 01. THE INTERNET AS DESIRE PATH PART 02. MEET ARI MELENCIANO PART 03. DECOLONIAL LINEAGE PART 04. GLISSANT & OPACITY PART 05. THE TOOLS PART 06. TENSIONS, AGI & DISCUSSION
Intro This digital essay explores the growing trend of designing interior spaces for image consumption rather than functional use. This project investigates the consequences for public spaces when they are reshaped by the “economy of likes”. Drawing on Guy Debord’s Society of the Spectacle, the researchers argue that social relations are increasingly mediated through images, … Read more
How does the spatial organization of Unité d’Habitation influence circulation, accessibility, and apartment connectivity, and can machine learning predict room functions from graph properties? Floor plans: Spatial Intelligence 3 floors study One floor Study One Apartment Study Graph Machine Learning s Graph Machine Learning
A theory review of Chapter 18 of Russell & Norvig’s Artificial Intelligence: A Modern Approach This chapter was assigned for the AIA Theory seminar at the beginning of the MaCAD 2025–2026 program, as part of a sequence of foundational readings on artificial intelligence. The seminar pairs canonical AI literature with discussion around its implications for … Read more
MUTAVERSE is an AI-powered reality mutation engine. The project began with a simple speculative question: What if one architectural image could evolve into multiple alternative realities while still preserving its original identity? From Image Styling to Reality Mutation Rather than using generative AI only as a visual styling tool, MUTAVERSE explores how architecture can transform … Read more
Introduction Our reference paper is Boeing, G. (2019). Urban spatial order: street network orientation, configuration, and entropy. We Applied Network Science, 4(1), 1–19 What is Entropy? How was Entropy calculted? After understanding Boeing’s method, our next step was to recreate his workflow and validate our implementation. One small difference is that we used smaller bin … Read more
Petagonist is a LoRA exploration and interface project built from the desire to see our beloved pets in funny scenarios and travel-worthy environments. The project started with a simple wish: seeing our pets somewhere other than the couch. Our pets spend most of their lives asleep at home. But what if we could place them … Read more
Can Street Geometry Predict Urban Safety Risk? A machine-learning pipeline that classifies street morphology into risk typologies — from OpenStreetMap features to multi-city deployment, dead ends included. This post documents the full arc of our Urban Safety project — not just the results, but the reasoning, the wrong turns, and what we learned from them. … Read more
Mediterranean islands are crushed by tourism in July and August, and almost empty the rest of the year. So we asked what if generative AI could show people the ten months that already exist beyond those two? The goal was to make the off-season feel desirable, not as data, but as images you’d actually want … Read more
We have all been there. It is 3:00 AM, the competition deadline is looming, and you are trapped in an endless, soul-crushing loop of exporting from Rhino, tweaking vectors in Illustrator, and heavy post-processing in Photoshop. The repetitive grind of architectural representation can quickly lead to creative burnout. It is time to smash the old … Read more
Our cities have long been shaped around cars — wide roads, narrow sidewalks, and green spaces replaced by parking lots. Cars have quietly become the measure of how we design our streets. But what if cities were designed for people instead? As Fred Polak wrote in Images of the Future, the act of visualizing possible … Read more
How a sentence becomes a buildable LEGO set, and the engineering that makes it stand up. We named the project lEgoarCh. The capital E and C are us, Emilie and Charles, smuggled into the wordmark like a hidden stud. The demo is the fun part: you type a building, and a minute later a real LEGO set is sitting on a shelf. … Read more
