From confusion to confidence — this book is your step-by-step guide to understanding and using modern AI. You don't need a technical background or a data science degree. The Everyday AI Blueprint starts where you are, explaining how large language models actually work: what training data does, why tokens matter, and how prompts become answers. You'll learn the real strengths and weaknesses of generative AI: where it shines at creative tasks, where it hallucinates, and how to spot bias. Then you'll move into practical application: writing better prompts, integrating AI into daily work, building simple no-code automation, and evaluating tools for your specific needs. Along the way you'll discover why these models are not oracles — and how to use them as powerful collaborators instead. The final chapters cover advanced strategies like chaining prompts, using retrieval-augmented generation, and managing risks around privacy and accuracy. Whether you're a curious beginner or a professional seeking to level up, this blueprint gives you durable understanding and hands-on techniques. Part of The Practical AI Library.
About the author
Anika Rao Bishop writes for The Practical AI Library.
