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jmelodywalker/README.md

Jade Melody Walker

I build the tooling layer between LLM APIs and production - cost estimation, context grounding, output stability.

What I'm building

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  1. token-estimator token-estimator Public

    Token estimation tool for developers using LLM inference workflows.

    TypeScript

  2. ContextEval ContextEval Public

    RAG system lets you query your own documents and get answers only when the information exists in your corpus.

    Python

  3. trace-bench trace-bench Public

    Tracing thought fluency of large language models.

    Python