This project explored the application of Artificial Intelligence (AI) as a supporting tool within the architectural site analysis workflow for a proposed Community Library. The objective was to understand how AI can assist designers during the early stages of architectural development, particularly in collecting information, analysing environmental conditions, identifying site opportunities and constraints, generating visual diagrams, and developing design responses.
Throughout this process, different AI tools were used for different purposes. ChatGPT was used for research, SWOT analysis, and generating architectural design strategies. Google Gemini was used to support climate analysis by providing information related to environmental conditions and passive design approaches. Canva AI was used to assist in generating visual diagrams and improving the presentation of the workflow. The combination of these tools demonstrated how AI can enhance efficiency and support decision-making during the design process.
The use of AI tools provided a faster and more organised approach to completing the site analysis process. Traditionally, collecting and arranging information requires significant time through manual research and analysis. With AI assistance, initial ideas and design considerations could be generated quickly, allowing more time to focus on evaluating and refining the information.
ChatGPT was particularly useful in structuring the site analysis process. It helped generate information about the proposed community library site, including surrounding context, accessibility, potential challenges, and design considerations. It was also effective in creating the SWOT analysis by identifying possible strengths, weaknesses, opportunities, and threats related to the project.
For climate analysis, Google Gemini helped provide environmental considerations such as solar exposure, ventilation strategies, rainfall conditions, and passive design approaches suitable for a tropical climate. This information helped translate environmental conditions into possible architectural solutions.
AI image and design tools also improved the communication of ideas. Canva AI helped create visual representations of the workflow and site analysis concepts, making complex information easier to understand and present.
One of the main advantages of using AI was the improvement in efficiency during the early design stage. AI reduced the amount of time required to organise information and helped generate multiple possibilities quickly. Instead of starting from an empty page, AI provided a foundation that could be reviewed, adjusted, and developed further.
Another successful aspect was the ability of AI to connect analysis findings with architectural responses. For example, climate analysis information was translated into strategies such as natural ventilation, shading devices, daylight optimisation, and landscape integration. This helped demonstrate how site analysis can directly influence design decisions.
The use of multiple AI tools also created a more complete workflow. Each tool had a specific role rather than relying on one AI platform for every task. This showed that AI can be integrated into different stages of the architectural process, from research and analysis to visualization and presentation.
Although AI was useful, there were several limitations during the process. Some AI-generated information was general and required further interpretation to make it suitable for an architectural context. Since AI does not physically experience the site, it may not fully understand specific conditions such as actual user behaviour, existing surroundings, local culture, or detailed environmental factors.
The generated diagrams also required manual review and editing. Some AI visuals were useful as conceptual representations but could not replace accurate architectural drawings or professional site analysis methods. Elements such as dimensions, orientation, circulation patterns, and environmental data still required human judgement.
Another challenge was ensuring that AI-generated information was reliable. AI outputs needed to be evaluated rather than accepted immediately. The designer must remain responsible for checking information, making decisions, and adapting suggestions according to the project requirements.
AI improved the design workflow by providing faster access to information, supporting idea development, and improving visual communication. It allowed the early design process to become more interactive because different solutions could be explored and compared efficiently.
AI also encouraged a more analytical approach to design. Instead of focusing only on the appearance of the building, the workflow considered environmental factors, user needs, accessibility, and sustainability. This resulted in a more informed design response for the Community Library.
For future projects, AI could be integrated further with more specialised architectural tools, environmental simulation software, and site modelling platforms. Combining AI-generated ideas with accurate site data, digital modelling, and professional analysis methods could create a more reliable and comprehensive design workflow.
However, AI should be viewed as a design assistant rather than a replacement for architectural thinking. The architect remains responsible for interpreting information, making creative decisions, and ensuring that the final design responds meaningfully to the users and the site.
Overall, this AI workflow exercise demonstrated that Artificial Intelligence can be a valuable tool in supporting architectural site analysis. AI improved efficiency by assisting with research, analysis, visualisation, and design development. The process showed that AI can help designers explore ideas and organise information more effectively during the early stages of design.
However, AI-generated outcomes require human evaluation, refinement, and critical thinking. The most effective approach is to combine AI capabilities with architectural knowledge and creativity. Through this workflow, AI becomes a supportive tool that enhances the design process while maintaining the importance of human judgement and decision-making.