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@kenimo49

ken imoto

kenimo49
Fukuoka, Japan

I build and maintain open-source tools and publish measured, reproducible research for the LLM era.

My work includes LLMO (LLM Optimization) frameworks, developer CLIs such as domain-pre-flight and compact-ops, and practical experiments grounded in real-world measurements rather than speculation.

Sponsorship is never expected. But if my tools, research, or writing have saved you time, your support helps me keep this work open, maintained, and continuously improving.

Featured work

  1. kenimo49/compact-ops

    Claude Code plugin: self-contained session state preservation across context compaction (state capture, recovery injection, resume recovery, built-in usage warnings)

    Shell 2
  2. kenimo49/ai-blue-color-bias

    AI Blue: Systematic Color Recognition Bias in Vision-Language Models — Experiment code, data, and paper

    Python 1
  3. kenimo49/free-executor-paradox

    When Free Executors Cost More: The Free-Executor Paradox in Iterative LLM Code-Repair Loops (paper + reproducibility kit)

    Python 1
  4. kenimo49/ai-text-slop

    AI Text Slop: A Quantitative Study of Stylistic Convergence Across Six Language Models in Japanese Technical Writing

    TeX
  5. kenimo49/excess-vocabulary-ja

    Excess Vocabulary in Japanese AI-Generated Text: A Cross-Model Analysis

    Python
  6. kenimo49/domain-pre-flight

    Pre-flight checks before registering a domain for a new site or app: name structure, TLD risk, past content history, and an aggregate go/no-go verdict.

    Python

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