Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
This book addresses the growing need for architects and designers to critically engage with artificial intelligence in visual and spatial production. It offers a systematic approach to understanding, directing, and constraining generative models.
Combining theoretical insights with technical instructions, the book explains how contemporary AI tools such as latent diffusion models can be employed effectively and responsibly. Rather than relying on AI as an automatic image generator, the book proposes a methodology grounded in control, feedback, and authorship. It introduces practical workflows using platforms - like ComfyUI, MidJourney, Grasshopper and others - to explore constrains, prompt structure, and how procedural logic can be harnessed to produce intentional, coherent results.
Intended for architects, educators, researchers, and students, this volume positions AI not as a substitute for design expertise, but as a configurable system that must be shaped by the disciplinary and ethical priorities of architecture.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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