Reflection
This workflow exercise demonstrated how multiple AI tools can be integrated into a structured architectural design process. Rather than relying on a single platform, the workflow combined Perplexity AI, ChatGPT, Leonardo AI, Canva AI, and Gamma AI to support research, concept development, visualization, communication, and presentation. The process highlighted how AI can enhance efficiency while still requiring human judgment to guide design decisions.
One of the most successful aspects of the workflow was the speed at which information, concepts, and visualizations could be generated. Perplexity AI provided relevant research on AI-integrated learning environments, sustainable architecture, and human-centered design. ChatGPT transformed this information into a clear concept for Between Sketches and Algorithms, while Leonardo AI helped visualize architectural ideas and explore multiple design possibilities. This significantly accelerated the early design stages compared to traditional methods.
ChatGPT proved particularly valuable because it connected the different stages of the workflow. It assisted with interpreting research findings, developing the concept statement, refining prompts, organizing information, and supporting reflection. Canva AI and Gamma AI further improved communication by transforming ideas into clear diagrams and presentation materials.
However, some limitations were identified. Certain AI-generated images contained unrealistic architectural details, spatial arrangements, or construction elements. While visually appealing, some outputs required refinement to ensure they aligned with practical architectural principles and project objectives. This highlighted the importance of critical evaluation when using AI-generated content.
Human judgment remained essential throughout the workflow. Research findings had to be assessed, prompts refined, outputs compared, and design decisions evaluated against the project's goals of AI integration, sustainability, and human-centered learning. The final outcome was achieved through a combination of AI assistance and architectural decision-making rather than AI alone.
Overall, this exercise showed that AI can be a powerful design support tool. It enhances creativity, improves workflow efficiency, and assists with complex design tasks. However, architects remain responsible for critical thinking, ethical considerations, and final design decisions. The experience reinforced the idea that AI should function as a collaborative partner within the design process rather than a replacement for human creativity and expertise.
Reflection Questions Summary
Fast research, concept development, and visualization.
Improved workflow efficiency and idea exploration.
Some AI-generated outputs lacked technical accuracy or architectural realism.
ChatGPT, because it supported multiple stages of the workflow and connected the overall design process.
Evaluating research findings, refining prompts, reviewing outputs, and making final design decisions.
Reduced the time required for research, concept generation, visualization, diagram creation, and presentation preparation.
Inaccurate information, unrealistic design solutions, reduced critical thinking, and overreliance on automated suggestions.
Human Judgement
Although AI supported the project through research, concept development, visualization, and presentation, the final design decisions remained the responsibility of the architect. AI-generated outputs were reviewed, evaluated, and refined to ensure they aligned with the goals of Between Sketches and Algorithms, including AI integration, sustainability, and human-centered design. Human judgment was essential in selecting the most suitable ideas, adapting them to the project requirements, and ensuring the design remained practical, meaningful, and architecturally feasible. While AI enhanced the design process, it could not replace critical thinking, creativity, or professional architectural expertise.
Human Judgment (Architect)
Used to evaluate AI-generated outputs, verify relevance and feasibility, refine design decisions, and ensure the project remained aligned with its objectives of AI integration, sustainability, and user-centered learning. Human judgment provided the critical thinking and decision-making necessary to transform AI-generated ideas into a coherent architectural proposal.