Creator of the LLMO Framework. I design harnesses that automate dev, ops, and marketing with Claude Code — then publish what actually happened, with numbers.
400K+ article views (Qiita + Zenn) · 40+ books (Kindle + Zenn) · 4 research papers
Building AI-search-ready content? Start with the LLMO Framework.
If this work has saved you time, you can support its continued maintenance through GitHub Sponsors or Ko-fi.
| LLMO Framework | The open methodology for LLM Optimization (AEO + GEO) — getting your content found and cited by AI search |
| llmo-checker | Lighthouse-style CLI that scores how AI-retrievable a URL is: llms.txt, JSON-LD, robots policy, semantic structure → 0–100 LLMO Score |
| compact-ops | Claude Code plugin that keeps sessions coherent across context compaction |
More: open-llmo (research initiative) · voice-clone (3-sec voice cloning on Qwen3-TTS) · speech-habit-lens (speech analyzer) · domain-pre-flight (domain checks) · persona-hub (persona SDK)
New products ship weekly: kenimoto.dev → Products
- When Free Executors Cost More: The Free-Executor Paradox in Iterative LLM Code-Repair Loops — DOI:10.5281/zenodo.20978074 · code
- Excess Vocabulary in Japanese AI-Generated Text — DOI:10.5281/zenodo.19233934 · code
- AI Text Slop: Stylistic Convergence Across Six LLMs — DOI:10.5281/zenodo.19173035 · code
- AI Blue: Color Recognition Bias in Vision-Language Models — DOI:10.5281/zenodo.19159702 · code
 Harness Engineering |
 Context Engineering |
 Claude Code |
 LLMO |
 Knowledge Graph |
 300ms Threshold |
Full catalog (EN / JA / PT / ES): kenimoto.dev → Publications
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This README rebuilds itself daily via GitHub Actions, pulling from kenimoto.dev/ai/publications.md (the AI-readable feed), Zenn, and Qiita. Last refreshed: 2026-07-11 06:57 JST