NeoVertex1/SuperPrompt

# Technical Summary Leverages self-adaptive XML-based metadata structures and symbolic notation (mathematical operators, binary encoding) to guide LLM reasoning through deeper conceptual exploration, with the core `` tag functioning as a dynamic instruction layer that reconfigures itself based on task context. Designed primarily for Claude but compatible with other LLMs, SuperPrompt encodes logical constraints, recursion patterns, and abstract reasoning frameworks that push models toward novel synthesis rather than standard responses. The architecture combines tree-of-thought prompting with metamorphic instruction sets that adapt their own parameters—enabling the model to autonomously optimize its reasoning approach without human intervention.

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