When an architectural engineering student begins designing a university library, early decisions shape the entire project. Where should the entrance go? How should the reading rooms be arranged to make use of natural light? AI tools can help students explore different ideas for façades and interior spaces during the concept stage. Those ideas become more useful when students test them against a floor plan that reflects the site dimensions and the needs of the people who will use the building. (riba.org⁠) From an Initial Image to a Design Decision Suppose an AI tool suggests a large glazed façade for the reading room. The room may look bright in the image, but evaluating the idea begins with checking the orientation of the façade and studying how sunlight reaches the seating areas. If the analysis suggests that afternoon glare could affect the reading desks, the student can compare the original façade with an option that includes external shading. This comparison gives the student a reason for the choice grounded in the site conditions and how the room will be used. (riba.org⁠) The Student’s Role in Reviewing the Proposal A generated image may show what looks like a spacious room, while a scaled floor plan reveals that the furniture narrows the circulation route. The student can check the room dimensions, trace the route from the entrance to the seating areas, and revise the furniture arrangement or layout as needed. This process helps the student explain which ideas they kept, what they changed, and why they made the final design decision. (riba.org⁠, nvlpubs.nist.gov⁠) Al-Mustaqbal University The First University in Iraq