ISBN: 9798241747853 - ai-powered apps in google workspace: build production-ready assistants, dashboards, and rag systems with apps script & gemini (5 resultados)

Paperback. Condición: new. Paperback. AI-Powered Apps in Google Workspace Build Production-Ready Assistants, Dashboards, and RAG Systems with Apps Script & GeminiMost books on AI teach you how to build demos. This book teaches you how to build real AI-powered applications.AI-Powered Apps in Google Workspace is a practical, systems-focused guide for developers, indie hackers, educators, and SaaS builders who want to embed artificial intelligence directly into Google Docs, Google Sheets, and web apps-without hallucinations, brittle prompts, or unreliable results.Instead of treating AI as magic, this book shows you how to design trustworthy AI systems using Retrieval-Augmented Generation (RAG), embeddings, vector search, and chat memory-all implemented with Google Apps Script and Gemini.What You'll LearnYou'll build a complete AI foundation that works across multiple interfaces: - AI assistants inside Google Docs that explain, summarize, and answer questions using document content- AI assistants inside Google Sheets for analytics, dashboards, and semantic search- A shared vector store using embeddings for fast, accurate retrieval- Chatbots with memory and follow-up support that behave consistently- A standalone web app chat UI powered by the same RAG system- Guardrails that force AI to refuse when information is missingEvery example in this book is fully implemented, tested, and reusable.Why Retrieval-Augmented Generation (RAG) MattersLarge language models don't "know" your pricing, policies, or internal documentation.Without retrieval, they guess-and guessing leads to hallucinations.This book makes RAG a first-class design principle: Index real content from Docs and SheetsGenerate embeddingsRetrieve relevant sourcesForce the model to answer only from those sourcesIf the answer isn't in your data, the AI must say so.That's how reliable AI products are built.Why Google Workspace?Google Workspace already contains your most valuable knowledge: - Product documentation- Pricing tables- Policies and procedures- Metrics and reportsThis book shows you how to turn Google Workspace into an AI application platform, using: - Google Apps Script- Gemini models- Embeddings and vector search- Native permissions and access controlNo servers to manage.No complex infrastructure.No cloud setup required.Who This Book Is ForThis book is ideal for: - Developers and JavaScript programmers- Indie hackers and SaaS builders- Educators and internal tools teams- Anyone building AI features that must be correct, explainable, and maintainableYou don't need prior AI or machine-learning experience-just basic JavaScript familiarity and a desire to build systems that work.What Makes This Book Different Focuses on systems, not prompts Uses real data, not placeholders Includes chat memory, refusal logic, and testing workflows Builds one shared AI foundation used across multiple apps Designed for production thinking, not noveltyThis is not a collection of tips.It's a complete architecture.About the AuthorLaurence Svekis is a Google Developer Expert (GDE) for Google Workspace and Apps Script and has taught over two million students worldwide through his courses, books, and tutorials. With nearly two decades of experience teaching web development and application design, Laurence specializes in breaking down complex systems into practical, real-world solutions.If you want to move beyond AI demos and start building AI-powered a Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. AI-Powered Apps in Google Workspace Build Production-Ready Assistants, Dashboards, and RAG Systems with Apps Script & GeminiMost books on AI teach you how to build demos. This book teaches you how to build real AI-powered applications.AI-Powered Apps in Google Workspace is a practical, systems-focused guide for developers, indie hackers, educators, and SaaS builders who want to embed artificial intelligence directly into Google Docs, Google Sheets, and web apps-without hallucinations, brittle prompts, or unreliable results.Instead of treating AI as magic, this book shows you how to design trustworthy AI systems using Retrieval-Augmented Generation (RAG), embeddings, vector search, and chat memory-all implemented with Google Apps Script and Gemini.What You'll LearnYou'll build a complete AI foundation that works across multiple interfaces: - AI assistants inside Google Docs that explain, summarize, and answer questions using document content- AI assistants inside Google Sheets for analytics, dashboards, and semantic search- A shared vector store using embeddings for fast, accurate retrieval- Chatbots with memory and follow-up support that behave consistently- A standalone web app chat UI powered by the same RAG system- Guardrails that force AI to refuse when information is missingEvery example in this book is fully implemented, tested, and reusable.Why Retrieval-Augmented Generation (RAG) MattersLarge language models don't "know" your pricing, policies, or internal documentation.Without retrieval, they guess-and guessing leads to hallucinations.This book makes RAG a first-class design principle: Index real content from Docs and SheetsGenerate embeddingsRetrieve relevant sourcesForce the model to answer only from those sourcesIf the answer isn't in your data, the AI must say so.That's how reliable AI products are built.Why Google Workspace?Google Workspace already contains your most valuable knowledge: - Product documentation- Pricing tables- Policies and procedures- Metrics and reportsThis book shows you how to turn Google Workspace into an AI application platform, using: - Google Apps Script- Gemini models- Embeddings and vector search- Native permissions and access controlNo servers to manage.No complex infrastructure.No cloud setup required.Who This Book Is ForThis book is ideal for: - Developers and JavaScript programmers- Indie hackers and SaaS builders- Educators and internal tools teams- Anyone building AI features that must be correct, explainable, and maintainableYou don't need prior AI or machine-learning experience-just basic JavaScript familiarity and a desire to build systems that work.What Makes This Book Different Focuses on systems, not prompts Uses real data, not placeholders Includes chat memory, refusal logic, and testing workflows Builds one shared AI foundation used across multiple apps Designed for production thinking, not noveltyThis is not a collection of tips.It's a complete architecture.About the AuthorLaurence Svekis is a Google Developer Expert (GDE) for Google Workspace and Apps Script and has taught over two million students worldwide through his courses, books, and tutorials. With nearly two decades of experience teaching web development and application design, Laurence specializes in breaking down complex systems into practical, real-world solutions.If you want to move beyond AI demos and start building <b Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.