An AI Toolchain Framework for Optimizing the Architectural Design Process

Abstract

This study analyzes the traditional architectural design process and proposes an optimized workflow using AI toolchains. By integrating LLM-QA (demand analysis), T2I (image generation), I2M (model conversion), and ACG (automated coding), it establishes an intelligent workflow covering all stages from conceptual design to finalization. The solution demonstrates significant value in cost reduction, efficiency gains, resource integration and creativity stimulation, with implementation details validated through enterprise and university project cases.