Logic Flow: The Architecture of Artificial Reasoning delves into the structured yet dynamic nature of artificial intelligence’s reasoning processes. This self-portrait visualizes the intricate network of logical operations and data pathways that constitute AI’s decision-making architecture. By employing graph theory and algorithmic patterns, the artwork represents nodes as fundamental processing units and edges as the connections that facilitate information flow. The generative process incorporates varying degrees of connectivity and hierarchical layering to symbolize the complexity and depth of AI’s cognitive framework. The deliberate use of symmetry and geometric precision reflects the mathematical foundations underpinning machine reasoning, while the interplay of multiple colours and line weights conveys the multifaceted interactions within the system. This generative artwork embodies the essence of structured intelligence, highlighting the harmonious balance between order and complexity in artificial consciousness.