Descrição do livro
AI can generate answers.
But who decides which answer matters?
AI can create images, write copy, generate ideas, explore variations, and produce solutions in seconds.
As these tools become faster and more capable, the role of the designer is changing.
The question is no longer simply:
What can we make?
It is becoming:
What should we choose?
DESIGN COMPASS is a book about design in the age of AI—not as a matter of tools or technique, but as an act of judgment.
For more than thirty years, Toru Matsumoto has worked in design and art direction, and for twenty years, he has taught the next generation of designers.
Across studios, classrooms, presentations, and countless creative decisions, one truth kept returning:
There may be many good ideas.
There may be several correct answers.
But in the end, someone has to decide.
What stays?
What goes?
What feels right?
What truly matters?
AI can help us generate possibilities. But possibilities alone do not give us direction.
For that, we need a compass.
This book explores the invisible decisions behind design: why we subtract rather than add, why placement changes meaning, why beauty remains important even when efficiency improves, and why judgment becomes more valuable—not less—as AI becomes more powerful.
Through observations from professional practice, education, failure, everyday creative moments, and the intelligence found in nature, DESIGN COMPASS asks what it means to design when answers are increasingly easy to generate.
This is not a manual for finding the one correct solution.
It is not a collection of rules, formulas, or prompts.
It is an invitation to develop something more personal and enduring:
your own compass for judgment.
For designers, art directors, creative directors, students, educators, brand builders, and anyone creating alongside AI, this book offers a way to think about what remains uniquely human in the creative process.
Because the future of design may not belong to those who can generate the most.
It may belong to those who know what to choose—and why.
AI is right. Humans choose.
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