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    Vision AI Pose Paper Prototype
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    I want to put together a quick-and-dirty paper prototype that proves one thing: textual instructions can be fed into an LLM, interpreted, and turned into accurate anatomical motion that I can later visualise in my copilot 3d js etc. The workflow I have in mind is simple on paper yet technically layered. First, the LLM receives short, structured cues (“Raise left arm to 90°”, “Rotate torso 15° right”, etc.). It must parse those sentences, identify the key actions, and output a sequence of joint-level positions. From there, the prototype should pass those positions to a lightweight Vision-AI / pose-estimation module so I can preview the motion as stick-figure frames and sanity-check anatomical correctness. Because this is an early prototype, I’m not ask...

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