What if your repetitive work could become a reliable system instead of another task on your list?
The AI Automation Blueprint is a practical guide to designing AI-powered workflows, building bounded AI agents, connecting tools and data, and introducing automation without losing control.
This book takes you from the fundamentals of AI automation to practical system design. You will learn how to identify the right tasks to automate, define safe automation boundaries, design AI agent workflows, connect tools and APIs, manage context and data, and build human approval into consequential actions.
You will also learn how to design for the difficult parts of real-world automation: ambiguous inputs, failed API calls, duplicate executions, validation, retries, permissions, prompt injection, logging, rollback, and ongoing maintenance.
Inside the book, you will discover:
Rather than promising effortless autonomy, this book focuses on a more useful goal: building automation that is understandable, testable, measurable, and safe enough to improve over time.
Whether you are exploring AI agents for the first time or already working with automated workflows, The AI Automation Blueprint gives you a structured path from a repetitive task to a controlled AI-powered system.
Start with one useful workflow. Build the smallest safe version. Measure it. Then scale what actually works.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - What if your repetitive work could become a reliable system instead of another task on your list The AI Automation Blueprint is a practical guide to designing AI-powered workflows, building bounded AI agents, connecting tools and data, and introducing automation without losing control.This book takes you from the fundamentals of AI automation to practical system design. You will learn how to identify the right tasks to automate, define safe automation boundaries, design AI agent workflows, connect tools and APIs, manage context and data, and build human approval into consequential actions.You will also learn how to design for the difficult parts of real-world automation: ambiguous inputs, failed API calls, duplicate executions, validation, retries, permissions, prompt injection, logging, rollback, and ongoing maintenance.Inside the book, you will discover: - How to distinguish deterministic automation, AI-powered automation, and AI agents- How to identify and score worthwhile automation opportunities- How to design the core components of an AI agent- How tools, APIs, data, memory, and context work together- How to build AI-powered workflows with human-in-the-loop controls- How to validate structured outputs and handle failures safely- How to defend workflows against prompt injection and unsafe tool use- How to design reliable, observable, and reversible automation systems- 15 practical AI automation blueprints for real workflow scenarios- A framework for building your Personal AI Automation Operating System- A 30-Day AI Automation Implementation Plan for moving from idea to tested workflow- Practical decision patterns for choosing when to automate, constrain, expand, or retire a systemRather than promising effortless autonomy, this book focuses on a more useful goal: building automation that is understandable, testable, measurable, and safe enough to improve over time.Whether you are exploring AI agents for the first time or already working with automated workflows, The AI Automation Blueprint gives you a structured path from a repetitive task to a controlled AI-powered system.Start with one useful workflow. Build the smallest safe version. Measure it. Then scale what actually works. Artikel-Nr. 9798194875061
Anzahl: 2 verfügbar