The question at the end of Part I was simple: What if I built the Guilloché model with Python instead? I am not a professional programmer. However, in 2026, when we want to build a small and highly specialised tool for a particular workflow, AI-assisted coding has become a practical way to turn a technical idea into a working prototype. This was how I began developing my own parametric Guilloché Generator. I first explained to ChatGPT how Guilloché is produced in the physical world: how the workpiece rotates, how the path changes periodically, how the cutting tool creates a V-shaped groove, and which parameters should influence the resulting pattern. I then asked it to convert those manufacturing principles into mathematical equations and executable Python code. The program was not completed through a single prompt. The development process was closer to iterative AI vibe coding. I was responsible for explaining the craft, evaluating the geometric results, identifying prob...
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