Subject:​ Using JMP 19 Python to Structure Multi-AI Insights on Ancient Chinese Culture for Holistic Network Analysis

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I am working on a project analyzing ancient Chinese culture. My workflow involves using various AI models to interpret classic texts, and then leveraging JMP 19’s Python integration​ to structure this data.
My goal is to move beyond simple visualization; I want to uncover the global associations​ and complex relational networks within the data. Has anyone explored similar "Multi-AI to JMP" pipelines for humanities research? I would greatly appreciate any advice on optimizing the data structure for network analysis​ in JMP.

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gemini3.1 pro

Claude-Opus-4.8

Claude-Opus-5

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https://zh.wikipedia.org/w/index.php?title=%E5%85%88%E7%A7%A6&utm_source=chatgpt.com
https://zh.wikipedia.org/w/index.php?title=%E5%8F%B2%E8%AE%B0&utm_source=chatgpt.com
https://zh.wikipedia.org/w/index.php?title=%E8%8B%8F%E8%BD%BC&utm_source=chatgpt.com

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