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Ken Imoto

AI Systems Engineer specializing in LLMO, WebRTC, Real-time AI, and Context Engineering. Building AI-native organizations powered by LLMs, automation, and distributed agents.

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For agents: Personal blog of AI systems engineer Ken Imoto, with articles on LLMO, context engineering, Claude Code, WebRTC, chaos engineering and related topics in English

llmowebrtccontext engineeringai engineeringclaude code

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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-25T04:54:37.452Z. Cached copy · Source on kenimoto.dev

# Ken Imoto

> AI Systems Engineer specializing in LLMO, WebRTC, Real-time AI, and Context Engineering. Building AI-native organizations powered by LLMs, automation, and distributed agents.

## About

Ken Imoto is an AI Systems Engineer based in Fukuoka, Japan. He builds AI-native organizations at Propel-Lab (https://propel-lab.co.jp) and researches LLMO (LLM Optimization), AI Agent Design, and Human-AI Interaction.

LLMO includes approaches such as AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization).

## Expertise

- LLMO (LLM Optimization) — Author of the LLMO Framework (https://llmoframework.com)
- WebRTC & Real-time AI
- Context Engineering (CLAUDE.md, AGENTS.md patterns)
- AI Agent Design (MCP, multi-agent architectures)
- Android & Web Development (8+ years)

## Books (39 Kindle editions, 11 Zenn Books, auto-generated)

### English

- [Chaos Engineering in Practice — From Netflix's monkey to AI-driven experiments — Landing Page](https://kenimoto.dev/books/chaos-engineering-guide/)
- [Debugging Engineering — Ten habits, translated into prompts, layered with CLAUDE.md and hooks — Landing Page](https://kenimoto.dev/books/debugging-engineering/)
- [Local LLM or Claude Code? — 96% of Requests Failed Locally, Half of the Steps Didn't: Measured AI Agent Routing with Ollama — Landing Page](https://kenimoto.dev/books/local-llm-step-routing/)
- [Local LLM or Claude Code? — Kindle](https://www.amazon.com/dp/B0HLLC2Z2R)
- [Cognitive Bias for Software Engineers — 20 Biases That Distort Estimates, Code Reviews, and Team Decisions — Landing Page](https://kenimoto.dev/books/engineer-psychology-tricks/)
- [Cognitive Bias for Software Engineers — Kindle](https://www.amazon.com/dp/B0HH99235S)
- [Why Do Some Words Stay With You Forever? — 100 Engineering Quotes Decoded — Landing Page](https://kenimoto.dev/books/engineer-it-quotes/)
- [Why Do Some Words Stay With You Forever? — Kindle](https://www.amazon.com/dp/B0GX3CS95M)
- [The Practical Knowledge Graph Guide — Structure Your Data, Sharpen Your AI — Landing Page](https://kenimoto.dev/books/knowledge-graph-practical-guide/)
- [The Practical Knowledge Graph Guide — Kindle](https://www.amazon.com/dp/B0GX2Z73JV)
- [The 300ms Threshold — Why Talking to AI Feels Wrong — Landing Page](https://kenimoto.dev/books/voice-ai-300ms-ux/)
- [The 300ms Threshold — Kindle](https://www.amazon.com/dp/B0GYQ4L2KP)
- [Systematizing AI Code Review — The 3-Layer Model for 60% Faster Reviews — Landing Page](https://kenimoto.dev/books/harness-code-review/)
- [Systematizing AI Code Review — Kindle](https://www.amazon.com/Systematizing-AI-Code-Review-Propel-Lab-ebook/dp/B0GX71K2BV)
- [LLMO Quickstart — AI Search Optimization for Engineers — Landing Page](https://kenimoto.dev/books/llmo-quickstart/)
- [LLMO Quickstart — Kindle](https://www.amazon.com/dp/B0GHJLJ611)
- [Harness Engineering — From Using AI to Controlling AI — Landing Page](https://kenimoto.dev/books/harness-engineering-guide/)
- [Harness Engineering —
…

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