Books

AI is basically a very well-optimized math system pretending to sound like a person. That's it. That's the whole secret.This book explains exactly how, no math, no code, no jargon. Just a straight conversation about what's actually happening inside the machine everyone won't stop talking about.

Accountability cannot be delegated. Execution can. AI can act at a speed and scale that no person can review one decision at a time. The answer is not ceremonial human oversight. It is to establish who owns the workflow, what authority the system has, which limits are enforced and who can intervene when something goes wrong.Human Accountable for the Loop is a practical framework for doing that.

Software changed its front door: we don't open apps anymore; we talk to an assistant. Learn to build for that world —a real AI-native app with MCP, OAuth, and LLMs— using AI as your copilot. From zero to production.

Your tests pass, the agent says it's done — but does your software work? A field manual for verifying what your AI coding agent actually built.

Written entirely from a data-first perspective, the book explores how data flows, transforms, and creates value across almost every technical field — from traditional modeling and business intelligence to vector databases, blockchain, and agentic AI. It also dives into data security, software engineering, and quantum computing, blending architectural theory with real-world execution.

Most agent books teach prompts and frameworks. Agent Engineering teaches the judgment and engineering discipline required to build AI agents that are reliable, secure, testable, and ready for production. Follow a practical Claude-based project from first agent to production-grade autonomous system—and receive every future update to this early-access edition.

Your AI-generated code passes 18,000 tests and reports healthy — while entire data pipelines silently produce nothing. Silent Wiring names the failure mode nobody's tooling catches, and shows you how to find it before your users do.

Close the gap between "AI that generates code" and "AI-assisted development for production software" with this complete, proven playbook including the six-phase arc from audit to production.

The is more to AI than Large Language models. Here we explore Symbolic AI with the Prolog language.

Una guida pratica a Claude Code, scritta con Claude Code.Su Claude Code circolano due tipi di contenuti: video YouTube che si fermano ai primi dieci minuti e thread social che promettono "guide complete" in cambio di un'email. Questo libro nasce dall'esigenza opposta: avere finalmente un manuale che spieghi lo strumento per intero, senza hype e senza muri di lead generation.140 pagine costruite a partire dalla documentazione ufficiale Anthropic, verificate su Claude Code v2.1.123, con esempi reali invece che screenshot da marketing. Si parte dall'installazione su macOS, Linux e Windows, si passa per Plan Mode, CLAUDE.md, gestione del contesto, sicurezza dei permessi, Skill personalizzate, subagent custom, integrazione MCP, e si arriva al prompt engineering aggiornato al 2026 — quello vero, dopo che le formule magiche del 2023 si sono sgonfiate.Il libro è pensato per due lettori in parallelo: lo sviluppatore senior che vuole integrare Claude Code nel proprio workflow di produzione, e chi si avvicina per la prima volta agli strumenti AI agentici e ha bisogno di una mappa. I capitoli iniziali costruiscono le basi senza dare nulla per scontato; quelli avanzati entrano nei meccanismi che fanno la differenza tra un uso superficiale e uno strategico.Tre cose che troverai e che altrove fatico a trovare:Il prompt engineering riletto al 2026. Niente ruoli posticci, niente "agisci come un esperto di...". Le tre leve che contano davvero — istruzioni esplicite, contesto adeguato, esempi curati — applicate al contesto specifico della CLI.Workflow reali, non demo da slide. Esempi concreti su WordPress e Node.js presi da progetti veri, non da repository giocattolo.In apertura c'è una prefazione scritta da Claude Opus, a cui ho dato il manoscritto completo chiedendogli un commento onesto, anche dove il libro non funzionava. È rimasta lì come l'ha scritta: è il modo più trasparente che mi sia venuto in mente per inquadrare il libro.Il libro è gratis — pay-what-you-want con minimo zero. Se ti torna utile e vuoi contribuire, decidi tu quanto. Se non puoi o non vuoi, scarichi e leggi senza pensieri: la licenza Creative Commons BY-SA 4.0 ti permette anche di redistribuirlo e modificarlo, basta citare la fonte e mantenere la stessa licenza.

You don't need another "intro to LLMs" tutorial. You need patterns—proven architectural blueprints that tell you exactly when to use RAG vs. fine-tuning, how to build agents that don't spiral, and why your retrieval pipeline returns garbage. This book gives you 29 of them, with architecture diagrams and working Python code. Free. No fluff. No vendor lock-in.

This book familiarizes readers with the world of LLM and agentic AI, and helps them quickly gain a working-level knowledge of building useful agentic AI solutions for process industry operations. With no prerequisites required, practical demo applications, and a hands-on approach adopted throughout, this book makes advanced AI technologies accessible to process engineers and data scientists alike. It aims to help process data scientists and engineers take their first confident steps into Agentic AI world, understand the full picture, and build a strong enough foundation to keep learning and building on their own. Also available here.

The most truly passive online business I know is Amazon KDP. If you want to stay anonymous and build a passive online business system the hard way, this book is for you.

One book rarely changes your life. A system of books can.Learn how to build a portfolio of small nonfiction titles that create leverage, audience growth, and long-term income.

Stop selling hours and start owning systems that compound. This technical field manual provides eight executable "money identities" to help you graduate from trading time for dollars into designing AI-powered systems that generate "Agentic Wealth".