Books

The Cybernetic Enterprise Assessment turns transformation theory into actionable insight. Based on The Cybernetic Enterprise, it helps you evaluate how future-ready your organization truly is, across people, process, technology, and data. Use it to uncover strengths, expose gaps, and define clear steps toward becoming an adaptive, AI-augmented, and continuously learning enterprise.

Most AI systems fail in production. They chain prompts together and call it "agentic". They collapse under real-world pressure. The gap isn't the technology – it's missing infrastructure. This book bridges that gap. Learn the architecture patterns and infrastructure to build autonomous AI systems that work at scale. Master what distinguishes real agents from chatbots with tools. Deploy with confidence. Stop building demos. Start shipping production agentic AI.

Discover how modern web scraping goes beyond simple scripts. Learn to extract, automate, and transform data from dynamic websites using Python, Playwright, undetected-chromedriver, Chrome DevTools MCP, and AI tools. Packed with hands-on examples and expert tips, this book shows you how to build ethical, scalable, and intelligent scraping workflows that turn raw web content into actionable insights.

This book presents a modern approach to system identification and adaptive control through the lens of online machine learning. It bridges theory and practice, guiding readers from classical linear control to advanced nonlinear adaptive methods with MATLAB examples. Designed for students, researchers, and engineers, it provides the knowledge and tools to design intelligent control systems for real-world applications.

Bridge AI and science with this hands-on guide. Whether you're a researcher learning ML or an engineer entering scientific applications, build real systems across chemistry, biology, physics & climate. Master Transformers, Diffusion Models & GNNs for scientific discovery. 500+ pages, 50+ Colab notebooks. Design molecules, predict proteins, accelerate climate models—all hands-on, zero setup required.

You don’t need massive compute or big-tech resources to build real AI. This hands-on guide shows you how to build and fine-tune your own small language model—from scratch—using accessible tools like Google Colab. Learn transformers step-by-step, train and align models on your own data, and deploy practical AI systems that run on consumer GPUs. If you’ve ever wondered “Can I build my own model?”—this book proves the answer is yes.

The Cybernetic Enterprise CTO Playbook turns strategy into execution for modern technology leaders. It equips CTOs with actionable plays, assessments, and transformation roadmaps to build adaptive, AI-augmented, and feedback-driven organizations. Learn how to align people, process, and technology into one living system that senses, decides, and evolves faster than its environment changes.

Most companies are stuck in "pilot purgatory"—endless AI experiments that never scale. Teams spend weeks sharing clever prompts and one-off scripts, but nothing makes it into production. Budgets evaporate, engineers' enthusiasm curdles into cynicism, and executives start asking "we spent how much on this?" The problem isn't the AI tools—it's the approach. AI models are inherently non-deterministic (ask the same question twice, get different answers), while software engineering demands deterministic, reliable results. Without structure to bridge this gap, AI adoption fails spectacularly. This book introduces PIT™ (Plan Implement Test), a proven methodology that transforms unpredictable AI outputs into reliable engineering workflows. Built from thousands of hours of real development work, PIT™ channels AI's capabilities through structured planning, phased implementation, and comprehensive testing—delivering the consistency that production code demands.

How to represent knowledge for LLMs and build memory for agents, I discovered Mark's work on semantic spacetimes. It's more of a theoretical framework from someone who came from physics. But actually, jumping to knowledge representation and reasoning, and trying to answer the question of how to build dynamic and complex systems—semantic spacetimes and promise theories are crucial for the future of agentic systems, in my belief.The semantic spacetime approach gives us answers on how to organize better memory and how to have better knowledge representation that could be understood quite well by LLMs. Vector embeddings actually create a lot of challenges—some spaces and some relations in vector embeddings simply don't exist. We all have this problem where "love my wife " and "hate my wife" while actually quite distant in practice, and also time and dynamics matter

Build AI agents that truly remember, reason, and act—entirely on user devices. Move beyond prompt engineering to create autonomous systems with graph-based memory using SQLite and LibSQL. Learn to implement hypergraphs, metagraphs, and vector search for privacy-first AI that scales to millions of entities. From personal knowledge graphs to production mobile apps, master the three pillars of agent autonomy: tools, memory, and reasoning. Real code, working examples, battle-tested in production. The future of AI is local, private, and in your hands.

Discover why current AI memory systems fail and how to build agents that truly remember. This groundbreaking exploration reveals semantic spacetime, causal graphs, and event-driven architectures that transform static retrieval into dynamic understanding. From temporal reasoning with Allen's algebra to hypergraphs and metagraphs, learn to create AI that doesn't just store facts but understands causality, context, and meaning. The future of AI agents depends on memory systems that mirror human cognition—forgetting strategically, reasoning causally, and adapting contextually. Essential reading for developers building the next generation of intelligent agents that genuinely comprehend human experience and decision-making patterns.

What if you could turn every idea into action — in minutes, not hours? Turn Prompts into Productivity is your ultimate guide to harnessing AI for smarter work, faster learning, and unstoppable creativity. This isn’t about fancy tech jargon or complicated tools — it’s about real results you can see today.Inside, you’ll discover how to:Generate content instantly — from blog posts to emails, no writer’s block requiredSolve problems in record time — let AI do the heavy thinking for youPlan, organize, and achieve more — without stress or overwhelmUnlock ready-to-use prompts — proven strategies that work from the first tryWhether you’re a student, entrepreneur, freelancer, or lifelong learner, this book shows you how to make AI your personal productivity partner. Stop wasting hours on tasks that don’t matter. Work smarter. Learn faster. Create bigger.The future of productivity is here — and it starts with the prompts you use.Are you ready to turn ideas into action?

이 책은 면접 준비, 프로젝트 진행, 또는 순수한 지적 호기심을 위해 대규모 언어 모델의 내부 구조와 작동 원리를 이해하고 싶은 모든 분들을 위한, 그림으로 설명하는 핵심 가이드입니다.