CTA integration was used to compare different AI thinking approaches during architectural design exploration. The activity focused on testing how AI responds when prompts are guided by different thinking styles such as clarity, analysis, and creative experimentation.
“Design a sustainable urban library that also functions as a community hub in a dense city environment.”
Simplifying ideas, organizing information clearly, and improving communication.
This AI approach focused on creating understandable and well-structured architectural explanations. It emphasized clarity in space organization, sustainability strategies, and user experience.
Clear explanations
Structured design ideas
Easy-to-understand summaries
Organized architectural concepts
Evaluation, comparison, logic, and critical thinking.
This AI mode analyzed the project through functionality, environmental performance, and urban efficiency. It examined strengths, weaknesses, spatial systems, and possible technical limitations.
Analytical breakdowns
Pros and cons evaluation
Logical reasoning
Strategic architectural thinking
Innovation, experimentation, and challenging conventional ideas.
This approach pushed the architectural concept beyond traditional solutions by introducing unexpected spatial ideas, experimental forms, and bold design directions.
Creative concepts
“What if” scenarios
Experimental proposals
Innovative architectural thinking
This CTA activity demonstrated how AI can approach the same architectural problem using completely different thinking methods. It showed that prompt structure and AI role definition strongly influence the final outcome. The exercise also highlighted the importance of combining analytical thinking, clarity, and creativity during architectural design development.