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"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh PalStop guessing. Start getting what you actually want from AI. Everyone is using ChatGPT, Claude, Gemini, and a dozen other AI tools. Most people are barely scratching the surface of what these tools can do. The difference between a mediocre AI response and a brilliant one is not the AI. It is the prompt.
Talking to AI - Second Edition is the practical, no-fluff guide to getting dramatically better results from every AI tool you use. Whether you are a student, professional, entrepreneur, teacher, or creative, this book gives you the exact techniques, templates, and patterns that separate power users from everyone else. Author Akshay A. Walimbe wrote the first edition in 2023, and his predictions about multimodal AI, agents, and conversational computing all came true. This fully updated second edition reflects how AI actually works in 2026, including tools, use cases, and risks that did not exist three years ago.
Inside the book, 14 chapters across 4 parts: The Current AI Landscape · How AI Actually Thinks · The Anatomy of a Great Prompt · Techniques That Actually Make a Difference · Prompting Different Types of AI · AI for Your Career and Daily Life · Building AI into Your Daily Workflow · AI for Business and Making Money · AI for Students, Teachers, and Lifelong Learners · AI for Creative Work · Agents and Agentic AI · Prompt Security · The Token Economy · The Road Ahead
Companion prompt library included. Every chapter ends with a QR code.
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Your review has been deleted and won’t appear on the book anymore.Akshay A. Walimbe
Akshay Walimbe is an entrepreneur, AI trainer, and author based in Maharashtra, India. He wrote the first edition of Talking to AI with a single conviction: that prompt engineering is not a technical skill reserved for developers, but a language skill anyone can learn. That belief has only grown stronger with time.
Over the last few years, Akshay has trained thousands of professionals across corporate boardrooms, college classrooms, and small business teams to work fluently with AI. He has watched CEOs who once dictated emails to assistants draft entire strategy documents in minutes. He has seen first-generation college students build portfolios that would have taken months of traditional effort. He has sat with factory supervisors who now query production data in plain English. These experiences shape every page of this book.
What sets Akshay apart is his refusal to treat AI as magic. He writes and teaches from the trenches of real deployment - where prompts fail, where models hallucinate, where teams resist change, and where the gap between hype and utility must be closed with patience and craft. He is an early and unapologetic adopter of AI tools, but he is equally vocal about their limits. He believes the people who will benefit most from this technology are not the loudest evangelists, but the quiet practitioners who learn to ask better questions.
Akshay is also the author of the forthcoming Beyond Bias, a book that examines how human cognitive bias shapes the way we build, deploy, and interpret AI systems. He is currently working on his third book, The Universe of Algorithms, which explores how algorithmic thinking quietly governs modern life. Together, these three books form his ongoing attempt to make the invisible architecture of intelligent systems visible to everyday readers.
When he is not writing, training, or building, Akshay is most likely deep inside a book, tracing a trail through the Sahyadris, or arguing with a friend over chai about whether technology is truly making us freer. He believes the best ideas come from conversation, contradiction, and long walks - and that the best teachers are the ones who remain, curious students themselves.
This second edition of Talking to AI is a product of everything he has learned since the first: sharper frameworks, richer examples, and a deeper understanding of what actually helps people cross the bridge from AI-curious to AI-capable.
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