Micro-Diamond Chain: A Lightweight Framework for Controllable AI-Driven Workflows in Industrial Design

Abstract

This research addresses the disruptive impact of generative artificial intelligence on traditional industrial design models by proposing and validating a lightweight, AI-adapted design framework: Micro-Diamond Chain (MDC) v1.0. This framework focuses on the "Develop-Deliver" phases of the "Double Diamond" model, utilizing a series of micro-diamond cycles consisting of steps: "Input→Alignment → AI Divergence → Reflection → AI Convergence → Post-AI → Reflection:Output/Cycle." It enhances designers' decision-making capabilities and control over AI tools during both PreAI and PostAI stages. Comparative analysis of two case studies, EcoFusionAI and HomiAI, demonstrates that the MDC framework effectively translates AI's rapid iteration capabilities into concrete, actionable design methods while balancing designer autonomy and efficiency. This research clarifies methodologies for human-AI collaborative design and provides actionable guidance for practical teaching and design applications.