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The Number Nobody Checks
English | August 29, 2026 | ASIN: B0HJMWFDD6 | 154 pages | EPUB (True) | 263.15 KB
Every payment in American healthcare is the output of a rule. Almost nobody checks which one.Why does one blood test carry eight prices in the same building? Why was your claim denied - and is the denial even right? The Number Nobody Checks explains how American healthcare payment actually computes: fee schedules, DRGs, denial codes, appeal clocks and price-transparency files, with every worked example drawn from public federal sources the reader can verify.The author spent twenty years on the payer side - claims operations, core platform implementations, payment integrity - then rebuilt the federal payment systems from their published files and reconciled them against the government's own pricers until they agreed to the cent. The last disagreement left was thirty-eight cents. On the way down: a fourteen-hundred-dollar-a-claim error that nothing had ever flagged.Inside:• One hospital's own published prices for one tube of blood, eight rows apart• Two current federal files that disagree about the same vaccine, both correct• A parity ratio that reverses when you change the denominator• The five systems every claim passes through, and which one actually moves the money• A working desk reference: 57 denial codes with cause, fix, prevention and recovery outlook, appeal windows for ten payer types, and a one-page single-claim checkFor revenue cycle and denials teams, payer operations, provider contracting, benefits leaders, policy readers - and anyone who has ever stared at a remittance wondering where the number came from.The rules are public. The files are downloadable. The arithmetic is arithmetic. The number is checkable - this book shows you how.

The Non-Coder's Guide to Building With AI: How Anyone Can Build a Simple App, Website, or Automation Using AI Coding Tools Without Learning to Code
English | September 18, 2026 | ASIN: B0HFK8SD31 | 170 pages | EPUB (True) | 1.35 MB
For most of the history of computing, building a website, an app, or an automation required a person to learn a programming language. That requirement quietly decided who could create software and who could only consume it. The person with an idea and no technical training had exactly 2 options: pay a developer thousands of dollars, or give up on the idea entirely. That world is now ending, and it is ending not because programming became easy, but because the machine can now do the programming when you can describe what you want clearly enough.This book teaches you that description skill, which is the only skill you truly need to join the other side of the barrier. I have watched people with no technical background build real software, and I have watched them fail, and the difference between the two has almost never been intelligence, age, or luck. The successes understood a few core ideas about how to direct the tools.Inside, you will discover:- How AI coding tools actually think, and the director's mindset that changes everything- How to choose your toolbox, from end to end builders like Replit and Bolt to professional editors- The art of the prompt and the spec, the single highest leverage skill in the discipline- Your first website and your first real app, with concrete workflows you can follow line by line- Automations that run while you sleep, and the build loop that turns feedback into progress- Reading and fixing what the AI built, working with data, and making money online- Going live, security and trust, and knowing when AI is not the answerYou do not need to be young, you do not need to be technically inclined, and you do not need to have ever written a line of code. If you can describe a process you do every week in words, you can automate it or build a tool for it. The tools are the easy part, and the thinking is the skill, and the thinking is exactly what this book trains.

The Multimillionaire Method - A Step-by-Step System for Building Wealth in Any Business
English | February 5, 2026 | ASIN: B0GMLTXMHS | 68 pages | EPUB (True) | 344.32 KB
Wealth is not reserved for the lucky - it is built by the deliberate. The Multimillionaire Method - A Step-by-Step System for Building Wealth in Any Business is a battle plan for those tired of circling the runway and ready to take off. It replaces confusion with clarity, hesitation with action, and scattered effort with scalable systems. This is not about hype, hacks, or hope - it is about disciplined moves that multiply results. If you are done settling for survival income and ready to engineer lasting financial strength, this method will show you exactly where to step next - and why it works.

The Memorable Speech Method: A Complete System for Creating Highly Effective, Memorable Speeches
English | September 19, 2026 | ASIN: B0HJ7G8NGQ | 165 pages | EPUB (True) | 680.45 KB
You picked up this book because you know the weight of the belief that great speaking is a gift you either have or must fake, and you have felt its cost when you avoided the stage or handed the microphone to a colleague. You may have read books that inspired you for 1 afternoon and changed nothing the next time you stood up. Or you may be technically fine and know the difference between fine and memorable is the engineering you never learned. Whatever brought you here, you share a need: a system that treats a speech as 1 engineered experience from first impression to last Q and A answer.This book is not motivation. It is not smile, make eye contact, and imagine the audience in underwear. It is not 2 separate projects for writing and performing. The 5 stages are Brief, Build, Polish, Perform, and Live, and every chapter is an operating instruction with prompts, drills, and workflows. You will learn what every audience wants, to feel something, to learn something, and to have their time honored, and how to give it to them by design.Inside, you'll discover:* The system mindset: why hoping on stage is the most expensive sentence in business* Brief: 5 questions, an audience map, and a venue recipe that prevents the right speech in the wrong room* Core idea and promise: the 1 sentence test, so what test, and 3 proof pillars that carry the claim* Architecture: parts, 3 classic structures, and time budgets for 5, 20, and 45 minute speeches* Opening, middle, story and evidence, writing for the ear, rhetoric with ethos, pathos, and logos, and humor* Slides that pass the does this make the argument clearer test, delivery with voice and body, and nerves as fuel* Rehearsal and Q and A: 3 layer memory, cue cards, recording workflows, and the hostile question patternsYou will get the actual AI prompts I use, the rehearsal ratios that build a keynote in 8 hours across a week, and the recovery drills for a crashed deck o.

The Mathematics of Artificial Intelligence Agents: A Readable Guide to Decisions, Planning, Memory, Tools, Learning, and Cooperation
English | September 7, 2026 | ASIN: B0HJ349HH4 | 977 pages | Epub | 15.10 MB
Updated October 2026: This edition adds a comprehensive subject index with more than 2,000 entries, with each entry linked directly to the relevant locations in the ebook. It also includes an online companion with 29 Jupyter notebooks, 108 interactive mathematical demonstrations, and 28 ready-to-use skills for AI assistants. Readers can use the companion materials to run the book's examples, change parameters, check results, and explore the mathematics directly.What changes when an AI model stops merely answering and starts acting?A language model predicts what comes next. An AI agent has to do something more. It must choose, plan, remember, use tools, respond to observations, cooperate with other agents, manage uncertainty, operate within permissions, and decide when to stop and return control to a person.Each of those problems has mathematics behind it.The Mathematics of Artificial Intelligence Agents is a readable guide to that mathematics. It moves beyond the model itself to examine the larger system built around it: the loops, states, tools, memories, decisions, constraints, and interactions that turn predictions into actions.The book develops the mathematics through research, historical examples, constructed problems, diagrams, and worked calculations. Equations are presented at full strength, but important formulas are accompanied by two explanations:What It Does explains why the equation exists and what problem it solves.Reading the Formula walks through how to interpret the notation.The goal is not to remove the mathematics. It is to make the real mathematics readable.Inside the bookThe chapters move from the foundations of agent behavior into decision theory, planning, learning, architecture, multi-agent systems, safety, evaluation, and delegation. Topics include emergence and capability measurement, graph reachability, Markov processes, expected utility, Bellman equations, Bayesian belief states, value of information, heuristic search, exploration and regret, reinforcement learning, world models, inference-time search, memory and tool use, game theory, consensus, mechanism design, constrained optimization, capability frontiers, and human delegation.The central question is simple:Once a model is placed inside a system that can remember, act, observe, and act again, what new mathematical object have we created?This book treats that question as something to be measured rather than described with vague language. It distinguishes what is proved, what is measured, what is fitted, and what is proposed. It also makes the limits of each result explicit.Readers can follow the narrative explanations and conclusions, work through the mathematics in detail, or move between the two.For readers who want to understand not just how AI models work, but how AI systems decide, plan, learn, act, cooperate, fail, and hand control back, this is the next step.

The Indic Source Code: Indic Formal, Linguistic, and Philosophical Traditions in Dialogue with Computer Science
English | October 6, 2026 | ASIN: B0HM3JTHKM | 255 Pages | Epub | 8.07 MB
Comparisons between ancient Indian thought and modern computing usually go wrong in one of two ways. They either claim too much, treating every resemblance as proof that the past already held the present, or they dismiss the subject altogether. The Indic Source Code takes neither route.The book begins with a plain question: can historical Indic systems of language, logic, mathematics, epistemology, and philosophy be studied alongside modern computational ideas without romanticising the past or forcing modern concepts into ancient texts?To answer it, the author applies a strict method. Every comparison is placed in one of four categories: Historically Demonstrated, Structural Computational Parallel, Pedagogical Analogy, or Philosophical Interpretation. The categories are not interchangeable. A structural resemblance is never treated as proof of historical influence, and a useful analogy is never presented as historical fact.Across 31 chapters in seven Parts, the book moves from zero and Piṅgala's enumeration to the Kerala school's infinite series, and from Pāṇini's Aṣṭādhyāyī and the Śivasūtras to a comparison with Euclid. It examines Nyāya epistemology and the five-step inference, Mīmāṃsā rules for resolving conflicts between injunctions, Bhartṛhari's theory of language, and current work in Sanskrit computational linguistics. It then turns to Indian theories of mind, Yogācāra psychology, Sāṅkhya, and the question of machine consciousness, before moving on to software design, Indra's Net and distributed systems, ahiṃsā and sustainable computing, and the ethics of artificial intelligence, including explainable AI and adversarial robustness. The final chapters catalogue the book's own unresolved questions, propose falsifiable research hypotheses, and close with an audit that classifies the central claim of every chapter.Where scholars disagree, the disagreement is left visible. Where the evidence cannot carry a stronger claim, the claim is narrowed or dropped. The book does not argue that ancient India had computers, that Pāṇini invented modern context-free grammar, or that Piṅgala invented binary numbers in the modern mathematical sense. Its aim is neither to glorify the past nor to dismiss it, but to establish what can responsibly be said when two intellectual worlds are placed in conversation.For readers in computer science, Sanskrit studies, philosophy, and the history of science who want a careful, evidence-led comparison.

The Impact of the First World War on the Basque Country
English | March 1, 2025 | ISBN: 9781949805932 | 250 Pages | EPUB (True) | 662.53 KB
This book tells the story of the First World War from the perspective of the Basque Country. It recounts the background to the First World War, to set context, and talks about how this war was experienced in the Basque Country including the after-effects it left behind, especially the human devastation wrought by the war. The social, economic, and political consequences it had in the Basque Country are discussed in this work, as it is clear that this conflict had a decisive influence on the future of the Northern Basque Country and its ties with France.

The Human Intelligence Layer: Working With Machines Without Thinking Like One
English | September 21, 2026 | ASIN: B0HKJVRFZS | 102 pages | Epub | 879.06 KB
Every year, the tools on your desk produce more confident, more polished, more persuasive output — and every year, the cost of trusting that output one click too far gets higher. The skill nobody is teaching you is not how to prompt a machine. It's how to know, quickly and reliably, when to trust what it just told you.The Human Intelligence Layer names that skill and shows you how to build it. Drawing on decades of research into human judgment, automation failure, and expert intuition — and translating it directly into the daily reality of working with AI tools — this book gives individuals, managers, and organizations a practical, field-tested framework for staying sharp in a world that increasingly does the thinking for you, unless you insist on doing some of it yourself.This is not another book about what AI can do. It's the book about what you still have to do — and how to do it well, on purpose, before the cost of skipping it finds you.INSIDE, YOU WILL LEARN:◆ Why fluency is not accuracy — and how the "confidence trap" quietly disarms your best instincts◆ A stakes-based calibration framework for knowing exactly how much scrutiny any machine output deserves◆ The specific, learnable pattern behind where AI tools fail — and where they almost never do◆ How to verify machine-generated work in minutes, without re-doing it from scratch◆ Why teams silently drift into trusting too much or too little — and how to fix either one◆ The hiring, training, and management redesign your organization needs once junior-level work compresses◆ How to raise the next generation to think for themselves in a world of instant answers◆ Five field-ready frameworks, a 30-question pre-trust checklist, and a full team discussion guideWHO THIS BOOK IS FORKnowledge workers, managers, and executives integrating AI tools into daily work; teams and organizations building responsible AI-adoption practices; educators and parents preparing the next generation for a world of on-demand answers; and anyone who has ever accepted a fluent, confident answer a little too quickly and wondered, afterward, whether they should have.WHY THIS BOOK, NOWThe tools are not going away, and resisting them is not a strategy. But neither is trusting them uncritically. The Human Intelligence Layer offers a third way: full, confident, high-leverage use of these tools, paired with the specific, buildable human judgment that keeps that use safe. It is a book for the professional who wants to move fast without losing the thing that makes their work worth trusting in the first place.

The Human Capability Era: AI And The Human Advantage: How Humans Thrive Amidst Thinking Machines
English | October 11, 2026 | ASIN: B0HMPHMQ65 | 90 pages | Epub | 1.97 MB
Artificial intelligence is changing what is valuable in life and work. Not what makes you valuable as a person, but what makes you valuable in a machine driven world.For generations, success belonged to those who accumulated knowledge. Today, AI can answer questions, generate code, write reports, and automate many forms of cognitive work in seconds. Soon, physical AI will extend this same shift into the physical world. As machines assume more of the knowledge layer, human value doesn't disappear, it moves upward.The Human Capability Era provides a framework for understanding this transition.Rather than competing with AI, collaborate. The greatest advantage in the age of intelligent machines will belong to those who develop uniquely human capabilities that complement AI: perception, creativity, judgment, adaptability, and empathy.Inside this book you'll discover:Why every technological revolution shifts human value rather than eliminating it.Why AI makes human capability more valuable, not less.The five capabilities that will define success in the decades ahead.How peak performance emerges from biological foundations of thinking, decision-making, and creativity.A practical framework for thriving alongside increasingly capable machines.This is not a book about resisting AI. It is a book about becoming the kind of human who can use AI wisely.Whether you're an entrepreneur, executive, professional, educator, student, or simply trying to understand where the future is headed, The Human Capability Era offers a compelling vision for how humans can flourish amid thinking machines.The future does not belong to those who know the most. It belongs to those who develop the capabilities to collaborate with AI and direct what it's used to achieve.

The Human Advantage: Timeless Lessons for Personal and Professional Growth
English | September 25, 2026 | ASIN: B0HL11963J | 142 pages | Epub | 2.29 MB
We are living through the most disruptive shift work has seen in a generation. Artificial Intelligence can now write, analyze, and optimize faster than any human, so what's left for us?The Human Advantage makes the case that our real edge was never speed or output. It's the distinctly human capacity for introspection, emotional discipline, nuanced judgment, and authentic connection: the qualities no algorithm can replicate.Across twenty-four short, practical essays organized around four pillars (the Inner Compass, the Disciplined Mind, the Art of Connection, and the Enduring Path), David Timis draws on research, lived experience, and hands-on exercises to help you:* Define success on your own terms, rather than by comparison or status* Build the focus and emotional clarity to think well in a distracted world* Deepen your relationships and build a genuine network, not just contacts* Turn small, consistent habits into lasting personal and professional growthEach chapter ends with a reflective exercise, and this edition includes a dedicated space after every one so you can journal your answers directly in the book, making it as much a working companion as it is a read.Whether you're navigating a career being reshaped by automation or simply want to think more clearly, connect more deeply, and grow with intention, this book offers a timeless toolkit for staying unmistakably human in an increasingly automated world.