Native Systems

Most people think of spirituality as something you believe. The Ojibwe understand it as something you live—every day, in relationship with the land, the community, and the unseen forces that shape the world. Exploring Ojibwe Spirituality: Traditions, Teachings, and the Sacred Way of Life opens the door to that living tradition with clarity, depth, and respect. This is not a romanticized overview or a collection of vague ideas. It is a carefully written guide that explains how Ojibwe spirituality actually works—how stories teach ethics, how ceremonies restore balance, and how ...

The specification was Book One. This is the build. Book One ended with a contract: five ceilings on every grant, a call ladder with a liquidity term, a committed close-out plan, and a 311-case acceptance map. This volume builds that machine — components, code, checkpoints, go-live — and prints every line of it in the appendices. Nine components, four boundaries, and five requirements that cannot be retrofitted — time as a parameter first, because the question to answer is why was I sold at 10:47:12.480; The feedback loop, computed: on the same shock, sell-everything turns one breach ...

“Why was I sold out at 10:47, at that price?” The firm took four days and five systems to answer — approximately. Then it settled. That letter opens this book, and answering it in under a minute, to the tick, is what the book builds. On the way it names the seven design errors sitting on almost every margin desk — an advance-rate table nobody owns, a call ladder with no liquidity term, concentration measured per client but never per firm, a risk grade that enters no formula, one rate for every collateral book, ratios computed on yesterday’s close, and a close-out order improvised ...

AI-Native 5G/6G & Intelligent Communication Systems is an exhaustive, strictly practical, and highly detailed guide meticulously engineered to align with the current and future demands of the telecommunications and software development industries. Moving far beyond the theoretical confines of traditional networking literature, this book is designed as a definitive blueprint for action. It serves as a comprehensive manual for professionals and learners aiming to conceptualize, design, build, setup, deploy, and manage intelligent communication systems from absolute scratch to final, live ...

Master the Art of Designing Modern Software Systems — From Beginner to Expert, with Real-World Examples and Interview Prep. If you’re a beginner just starting out, or a developer preparing for system design interviews, or a senior architect looking to sharpen your knowledge, Modern Software System Design & Architecture is your complete guide to building reliable, scalable, and real-world systems. Who This Book Is For? Newcomers: Learn the fundamentals of reliable and scalable system design with simple, beginner-friendly explanations. Experienced Engineers: Prepare confidently for system...

Your AI assistant forgets everything. Every conversation, every preference, every decision — gone the instant the call ends. Large language models are stateless by design. Everything an AI system appears to "remember" — the case discussed last week, the user's preferences, the plan agreed an hour ago — is engineered, deliberately, outside the model. That engineering layer decides what enters the context window on every single turn, and it is where AI systems quietly succeed or silently fail. This book teaches you to build that layer properly. While most teams throw bigger models and ...

Your LLM is brilliant — until you ask it about YOUR data. It hallucinates. Its knowledge is frozen in the past. It has never seen your company's documents. Retrieval-Augmented Generation (RAG) is the architecture that fixes all three — and this book is the map that takes you from your first chunk to a fully agentic system. Architecting Knowledge is not another collection of scattered tutorials. It is a complete engineering curriculum: 34 concise chapters, 7 parts, one natural progression — why RAG exists, how a pipeline is anatomised, which building blocks to master, how to compose ...

An agent is a thing in code. Its autonomy level is the shape of that code. Its safety lives somewhere the model can never reach. Thinking in Agents and AI-Native Systems is the engineer's book of the series: build four agents at autonomy levels 1 to 4 from scratch, run an offline simulated model so every listing runs on any laptop with no API key, write handoff contracts and a coordinator with step limits, put the never list into a deterministic core that refuses whoever proposes — agent or person — with no bypass, give every agent one identity and exactly its grants in one shared store...

Most books explain what Retrieval-Augmented Generation is. This one makes you build it. Over six hands-on labs and a capstone project, you grow one code base into an enterprise-grade RAG system on PostgreSQL + pgvector and Groq. Each chapter adds exactly one capability to the same system, so by the last page you own a working stack – and the architectural judgment to defend every decision inside it. What you will have built A private knowledge store on PostgreSQL upgraded into a vector database, with parent-child chunks linked by foreign keys An ingestion pipeline for messy real-world ...

Your search box can find documents. It cannot answer questions. Somewhere in your organization there is a question no single passage contains: “Which form does this process need, and who signs it?” — “How many products share this component?” — “What changed since yesterday?” Classic RAG fails on all of them — and it fails quietly, with answers that sound confident and are wrong. GraphRAG is the engineering discipline that fixes this — and this book teaches it end to end: not as theory, but as a complete, measurable method you can defend in front of your team. What you ...

Every business change is a small software project. It doesn't have to be. Add one commission tier, one approval level, one field on a form — and a developer opens the source, edits a function that nobody dares to touch, rebuilds, retests and waits for a maintenance window. Two weeks for one line on paper. Now an AI model could write that change in seconds — but nobody can safely load a thousand lines of generated code into a running system. AI-Native Architecture shows a different way. Separate the running from the thinking: a stable engine that only executes, and a System Description ...

Connecting to Our Ancestral Past is a pragmatic, spiritual journey that introduces a variety of specific rituals and conversations in connection with Constellations work, an experiential process that explores one's history and powerful events of the past in order to understand and resolve...

Kubernetes is easy to demonstrate—and much harder to operate well. Kubernetes Production Architecture: Design Scalable Cloud Native Systems is a reasoning-first guide for engineers who want to move beyond copying YAML and start understanding how Kubernetes behaves as a production platform. Rather than treating Kubernetes as a collection of commands, this book develops a practical mental model of declarative APIs, controllers, schedulers, nodes, networking, storage, security, observability, scaling, upgrades, and operational ownership. Through the fictional Northstar Commerce platform, you...

A single-turn model answers. An agent with a plan finishes the work. Ask a language model to "prepare the Q3 financial report and compare it with the previous quarter" and watch it come apart: data it never fetched, figures it invented, steps in the wrong order. The model is not the problem. The missing layer is. Planning & Orchestration closes the AI-Native quartet with the layer that sits on top of everything else — the brain that turns a vague human goal into finished work. It sharpens the goal into verifiable criteria, decomposes it into a dependency graph, picks a strategy, routes ...

Indigenous naturopathic doctor Nicole Redvers pairs evidence-based research with traditional healing modalities, addressing modern health problems and medical processes Modern medical science has finally caught up to what traditional healing systems have known for centuries. Many traditional...

Your dashboards show you the number. Who explains the why? Every BI system built in the last twenty years was designed to answer "what happened." The AI era demands more: systems that investigate causes on their own, explain their answers, and act — without losing the discipline that made classical BI trustworthy. This book builds that bridge, end to end. AI-Native Business Intelligence, Volume 1 is a complete, practice-first course in three parts: PART I — Classical BI, rebuilt properly. Inmon vs. Kimball, dimensional modeling, slowly changing dimensions, ETL/ELT, data quality, MDM, ...

Seven design errors, and not one of them is an engineering error A scorecard nobody owns. A limit table that hands the same figure to a firm ten times the size. Security documents that arrive as attachments and never enter a calculation. A repayment test borrowed from consumer lending and pointed at a company. A price whose spread between the best and worst borrower is a fraction of the difference in expected loss. Every one of these is a credit decision that was never taken, surfacing later as a system that cannot answer the only question that matters. A scoring engine is built to answer ...

Most companies say they use AI. Very few can say what they are becoming — or answer one question: if every AI tool were switched off tomorrow, would the business still run? Thinking in AI: The Foundations gives every reader — executive, manager, employee or engineer — one shared set of ideas for adopting AI on purpose: the three adoption levels (AI First, AI Embedded, AI Native); the shutdown test that reveals which level you are really at; the difference between an agent (a thing you can count), an autonomy level (a degree you can set) and a multi-agent system (a system you can ...

Despite what major media sources say, violence against Native women is not an epidemic. An epidemic is biological and blameless. Violence against Native women is historical and political, bounded by oppression and colonial violence. This book, like all of Sarah Deer's work, is aimed at engaging the problem head-on - and ending it. The Beginning and End of Rape collects and expands the powerful writings in which Deer has advocated for cultural and legal reforms to protect Native women from endemic sexual violence and abuse.

Your system runs on the same model as theirs. So why is theirs better? It is not the model. Give two teams the identical foundation model and one ships something dependable while the other ships a demo that dies on contact with production. The gap is architecture — and most teams cannot see it, because they have no map. This is the map. What you will be able to do Name what you are building. The fourteen layers of an AI-Native system, and the seven domains they group into — instead of calling the whole thing "the AI". Tell a chatbot from an agent from an AI-Native system, decisively, ...