1. Define project data and responsibility
Clarify site, existing conditions, needs, dimensions, codes, budget, and data permissions before deciding what AI may assist with.
In Taiwan architecture and interior projects, AI can accelerate information organization, style exploration, option comparison, and proposal communication. Dimensions, codes, structure, fire safety, budget, and construction still require professional drawings and site review.
For architects, interior designers, project teams, owners, and anyone evaluating architecture AI tools.
Start with brief organization, case research, concept exploration, option comparison, and proposal drafts. Professionals must verify any decision involving dimensions, codes, structure, fire safety, MEP, budget, or construction.
Clarify site, existing conditions, needs, dimensions, codes, budget, and data permissions before deciding what AI may assist with.
Use AI for research, style vocabulary, material options, layout drafts, and proposal communication while retaining inputs, versions, and sources.
Visual plausibility does not mean buildability. Before delivery, verify dimensions, circulation, structure, fire safety, MEP, materials, budget, and site constraints.
Move from the Taiwan architecture AI overview into concrete interior, floor-plan, and SketchUp workflows.
No. AI can assist early research, exploration, and communication, but design responsibility, code decisions, drawing approval, and construction coordination remain professional responsibilities.
Both can support research, proposals, and communication. Architecture more often integrates site, structure, and codes, while interiors focus on existing conditions, materials, services, scale, and construction details; projects still need integrated judgment.
Do not assume so. A generated image is discussion material; it must become professional drawings with dimensions, versions, materials, and responsibility labels, then be reviewed by the project team.