Tool 1 — ChatGPT

Category

Text AI

Prompt Used

“Generate a sustainable student housing concept for Kuala Lumpur with natural ventilation, green roofs, and community spaces.”

AI Output

ChatGPT generated a conceptual design proposal for sustainable student housing that included passive cooling strategies, rooftop gardens, solar shading systems, and shared social spaces. The response also explained how the building could improve energy efficiency and create a comfortable environment for students.

Reflection

ChatGPT was useful for quickly generating architectural ideas and organizing concepts into clear explanations. The tool helped improve creativity and brainstorming during the early design stage. However, some responses were too general and required human editing to make them more realistic and site-specific. I learned that the quality of the output depends heavily on the quality of the prompt.

Tool 2 — DALL·E

Category

Image AI

Prompt Used

“Create a futuristic tropical café with a parametric façade, natural ventilation, greenery, and sustainable materials.”

AI Output

DALL·E generated several conceptual images showing futuristic café designs with curved forms, glass walls, green roofs, and organic architectural features. The images were visually attractive and inspired creative architectural ideas.

Reflection

The image generation process was fast and visually impressive. DALL·E helped transform written ideas into conceptual architectural visuals within seconds. However, some design elements were unrealistic and difficult to construct in real life. The tool is excellent for conceptual inspiration, but architects still need technical knowledge and critical thinking to develop practical solutions.

Tool 3 — Perplexity AI

Category

Research AI

Prompt Used

“How is Artificial Intelligence changing architecture and urban planning?”

AI Output

Perplexity AI provided summarized research about the role of AI in architecture, including smart cities, data analysis, generative design, sustainability, and automated planning systems. The platform also included references and external sources for further reading.

Reflection

Perplexity AI made research faster and more organized by summarizing information from multiple sources. It was helpful for understanding current trends and technologies related to AI in architecture. However, some information still required verification because AI-generated summaries may not always be fully accurate. I learned the importance of checking sources and using critical thinking when working with AI-generated research.