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kenimo49/README.md

Ken Imoto — AI Agent Engineer. LLMO, Context Engineering, Harness Engineering.

Website LLMO Framework X LinkedIn Zenn Qiita Dev.to

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.

Products

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

kenimoto Claude Code Kit

A focused set of tools I use daily to keep Claude Code sessions productive across long work. Follow one, you'll want the others.

compact-ops Preserve session state across /compact — no lost context, no manual re-briefing
claude-shift Switch between multiple Claude Code accounts safely; observe 5-hour / weekly usage across them
hook-chain-lens Diagnose your Claude Code hooks: see the merged fire order across user / project / plugin scopes, catch dead matchers and missing script paths

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

Research

Books

Harness Engineering
Harness Engineering
Context Engineering
Context Engineering
Practical Claude Code
Claude Code
LLMO
LLMO
The Practical Knowledge Graph Guide
Knowledge Graph
The 300ms Threshold
300ms Threshold

Full catalog (EN / JA / PT / ES): kenimoto.dev → Publications

Latest writing

Blog (EN)

Harness Engineering Benchmark: 13.7pt Same Model — 2026-08-28

pgvector vs Qdrant vs Weaviate at 10k: No Cliff — 2026-08-27

I Measured AI Citation Half-Life for 90 Days: 6 of 10 Sources Vanish by Week 4 — 2026-08-25

Static Call Graphs Miss 61% of Method Invocations. Runtime Traces Filled the Gap for AI Code Review. — 2026-08-25

AI Mode Cited My Portuguese 3.4× English. Japanese Also Beat English. — 2026-08-23

More on kenimoto.dev

Zenn (JA)

PRコメント300件を4型に分類したら、質問型だけがマージを2倍速くしていた — 2026-08-27

star 3.7万のAI Slop検出Skillは、日本語だと6パターンが空振りする — 2026-08-26

コードKGに90日分のgit logを入れたら、AIが影響範囲を90秒で出した — 2026-08-25

AIに投げる前の「5分保留」を90日続けたら、質問の質が3倍になった — 2026-08-24

RAGとGraphRAGを同じ100問で並べたら、勝敗が質問タイプで真っ二つに割れた — 2026-08-23

More on zenn.dev/kenimo49

Qiita (JA)

AI検出器に弾かれるのは、雑に書いた人ではなく整えた人です — 2026-08-25

Ollamaのnum_ctxはdefault 2048 — Qwen3 32Bで実装した瞬間、文脈が切れて回答が破綻します — 2026-08-17

自宅カラオケの伴奏をOSSで作ろうとして、詰む場所が3回変わった話 — 2026-08-11

RTX 4070で90日連続稼働したローカルLLMの電気代を気温別に測った — 夏と冬で電気代が2倍違った — 2026-08-10

Claude CodeでSonnet 4.6とOpus 4.7を60日並走した — 4割はSonnetが勝った — 2026-08-10

More on qiita.com/kenimo49

If my tools or research helped you, you can sponsor my open-source work.


This README rebuilds itself daily via GitHub Actions, pulling from kenimoto.dev/ai/publications.md (the AI-readable feed), Zenn, and Qiita. Last refreshed: 2026-08-29 07:06 JST

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