The Paperwork Gets There First
On honoraria, expertise, and the categories institutions write into their programmes.
The RBDSai Lab’s Substack
Exploring the Frontier of AI in Architecture | Insights, Innovations, and Inspirations for the Future-Ready Architect.
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The Detector Cannot See the Drawing Board
On AI writing, authorship, and the false certainty of a percentage
The Software Is Listening
Field notes, No. 1 — four changes architects should notice as of July 2026, what each can do, what it cannot, and one thing to try at your desk.
From Tool to System — RAG, Agents, and the Studio Stack
Article 6 named the hidden costs underneath the model. This Article 7 shows what the architect does with that knowledge at the level of the studio, by stopping the use of AI as a tool.
The Hidden Layers — Compute, Energy, Labour, and the Bias You Will Reproduce in Built Form
Article 5 introduced training data as the technical foundation. This article returns to it as the ethical and political foundation — the part the architect cannot pretend not to know.
Training Data, Fine-Tuning, LoRAs — The Path to a Studio-Trained AI
The base model knows the internet's average taste. It does not yet know yours.
Multimodal — How AI Holds Text and Image Together
The model is not looking at your reference. It is locating you in shared space.
Diffusion — How AI Paints from Noise
The model never drew anything. It removed noise until something was left.
Tokens, Context, and Why AI Forgets Your Project Halfway Through
The model is not remembering you. It is sampling whatever still fits in the window.
What AI Actually Is — A Probability Engine, Not a Computer
The mental model most architects are still using is the reason the tool keeps frustrating them.