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@@ -62,6 +62,46 @@ Ask an LLM to explain physical movement and it usually returns unstructured pros
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</sub>
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</p>
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For example:
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> Bend your knees, move your hips backward, and keep your chest upright.
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A human may understand that instruction, but a renderer cannot reliably determine:
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- which joints should move,
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- by how many degrees,
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- in which coordinate frame,
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- over what duration,
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- in what sequence,
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- or within which physical limits.
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Large language models can often reason about the components of human movement, but they lack a standardized syntax for expressing that reasoning in a renderable and testable form.
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Posecode provides that missing representation.
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### See Posecode in 28 seconds
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From an LLM prompt to editable Posecode, validated 3D rendering, MCP tools,
<ahref="docs/launch-media/posecode-cut2-builder-16x9.mp4"><b>▶ Watch the 28-second builder demo</b></a>
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<br />
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<sub>Plain text in. Smooth, programmable 3D motion out.</sub>
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</p>
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### Movement examples
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<td align="center">
@@ -82,23 +122,6 @@ Ask an LLM to explain physical movement and it usually returns unstructured pros
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</tr>
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</table>
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For example:
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> Bend your knees, move your hips backward, and keep your chest upright.
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A human may understand that instruction, but a renderer cannot reliably determine:
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- which joints should move,
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- by how many degrees,
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- in which coordinate frame,
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- over what duration,
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- in what sequence,
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- or within which physical limits.
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Large language models can often reason about the components of human movement, but they lack a standardized syntax for expressing that reasoning in a renderable and testable form.
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