Traditional linear workflows fail to represent the branching, multi-dimensional logic of AI agents. Visual canvases allow designers to model complex decision paths, conditional branches, and parallel tasks in a spatial layout. This makes it easier to understand, debug, and iterate on agent behavior—especially for non-technical users who need to see the entire process flow at once.
Canvas-based interfaces enable complex AI agent decision trees through spatial layouts, zoom levels, and color coding. Legacy flowchart paradigms are resurfacing in AI for dynamic, interactive workflows that replace static diagrams with executable processes.
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