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Winning with AI: Your Guide to AI Literacy
The future is here, and it’s powered by AI.
If you’re not literate in it, you risk being left behind.
Winning with AI is your essential guide to mastering AI in work and life. Drawing from years of experience in AI strategy and digital transformation, Jaspreet Bindra and Anuj Magazine introduce a powerful five-part framework – READS, WRITES, ADDS, THINKS and DOES – that teaches you to use AI tools as easily as you read, write and perform simple calculations. The book also helps
• Collaborate with cutting-edge tools like ChatGPT, NotebookLM, Perplexity and Copilot
• Turbocharge your work by automating repetitive tasks, analyzing data faster, and unlocking new levels of efficiency
• Understand AI’s impact on your job, productivity and future
• Grasp the ethics of AI and learn to keep your data safe
• Build true AI literacy to thrive in an AI-first world
Whether you’re an entrepreneur, business leader, lawyer, student, or just eager to integrate AI into your life, this book will help you stop fearing the change and start using AI with confidence.
If you’re not literate in it, you risk being left behind.
Winning with AI is your essential guide to mastering AI in work and life. Drawing from years of experience in AI strategy and digital transformation, Jaspreet Bindra and Anuj Magazine introduce a powerful five-part framework – READS, WRITES, ADDS, THINKS and DOES – that teaches you to use AI tools as easily as you read, write and perform simple calculations. The book also helps
• Collaborate with cutting-edge tools like ChatGPT, NotebookLM, Perplexity and Copilot
• Turbocharge your work by automating repetitive tasks, analyzing data faster, and unlocking new levels of efficiency
• Understand AI’s impact on your job, productivity and future
• Grasp the ethics of AI and learn to keep your data safe
• Build true AI literacy to thrive in an AI-first world
Whether you’re an entrepreneur, business leader, lawyer, student, or just eager to integrate AI into your life, this book will help you stop fearing the change and start using AI with confidence.
256 pages, Kindle Edition
Published June 12, 2025
6 people are currently reading
16 people want to read
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Displaying 1 - 3 of 3 reviews
July 7, 2025
In an era where artificial intelligence has transcended from science fiction to workplace reality, the pressing question is no longer whether AI will reshape our professional landscape, but how quickly we can adapt to thrive within it. Jaspreet Bindra and Anuj Magazine's "Winning with AI: Your Guide to AI Literacy" emerges as a timely and pragmatic response to this challenge, offering a structured pathway through the often overwhelming terrain of AI adoption.
The book's greatest strength lies in its refusal to intimidate. Where many AI publications either drown readers in technical jargon or offer superficial overviews, Bindra and Magazine strike a compelling balance between accessibility and depth. Their approach recognizes a fundamental truth: AI literacy is not about becoming a data scientist, but about developing the fluency to collaborate effectively with AI tools in our daily work.
The authors' cornerstone contribution is their five-part framework—READS, WRITES, ADDS, THINKS, and DOES—which transforms abstract AI concepts into concrete, actionable competencies. This framework represents a sophisticated understanding of how professionals actually encounter and utilize AI tools. Rather than presenting AI as a monolithic force, the authors deconstruct it into digestible components that mirror natural human cognitive processes.
The READS component addresses AI's capacity for information processing and analysis, while WRITES focuses on content generation capabilities. ADDS explores AI's role in enhancing human creativity and productivity, THINKS delves into AI's reasoning and problem-solving abilities, and DOES examines AI's potential for task automation and execution. This systematic approach provides readers with a mental model for understanding AI's diverse applications across different contexts.
What distinguishes this book from the crowded field of AI literature is its unwavering focus on practical application. The authors demonstrate considerable wisdom in their choice to emphasize tool mastery over theoretical understanding. Their exploration of platforms like ChatGPT, NotebookLM, Perplexity, and Copilot is not merely instructional but strategic, helping readers understand when and how to deploy different AI tools for maximum effectiveness.
The book excels in its treatment of workflow integration. Rather than presenting AI tools as standalone solutions, Bindra and Magazine illustrate how these technologies can be woven into existing professional practices. This approach acknowledges the reality that most professionals will not be starting from scratch but rather augmenting established workflows with AI capabilities.
The authors deserve particular credit for their thoughtful treatment of AI ethics. In a landscape where discussions of AI ethics often become either alarmist or dismissive, "Winning with AI" takes a measured approach that acknowledges real concerns while providing practical guidance for responsible AI use. The book addresses questions of bias, transparency, and accountability without becoming bogged down in abstract philosophical debates.
However, the ethical discussion could benefit from greater depth, particularly regarding the long-term implications of AI adoption on employment and skill development. While the authors touch on these concerns, a more robust exploration of the potential downsides of AI integration would strengthen their argument and provide readers with a more complete picture of the challenges ahead.
The book's accessibility is both its greatest strength and, paradoxically, a potential limitation. The authors' commitment to clarity occasionally results in oversimplification, particularly when discussing complex AI concepts like machine learning algorithms or neural networks. Advanced readers seeking deeper technical insights may find themselves wanting more sophisticated analysis.
Additionally, while the book's focus on current AI tools is valuable, it risks dating quickly in a rapidly evolving field. The authors acknowledge this challenge but could have provided more framework for adapting to future AI developments. A stronger emphasis on meta-learning—learning how to learn about new AI tools—would enhance the book's long-term value.
The treatment of industry-specific applications, while present, could be more comprehensive. Different sectors face unique AI adoption challenges, and more detailed case studies would help readers in specialized fields better understand how the framework applies to their specific contexts.
Perhaps the book's most significant contribution is its democratic vision of AI literacy. Bindra and Magazine reject the notion that AI expertise must be confined to technical specialists, instead arguing persuasively that AI literacy should be as fundamental as traditional literacy skills. This perspective is both empowering and necessary, as it recognizes that the benefits of AI will be most fully realized when they are accessible to the broadest possible audience.
The authors' background in AI strategy and digital transformation is evident throughout the book, lending credibility to their recommendations and frameworks. Their experience in practical AI implementation shines through in their emphasis on iterative learning and experimentation rather than perfect understanding before action.
Read detailed review here: https://pebblegalaxy.blog/2025/07/07/...
The book's greatest strength lies in its refusal to intimidate. Where many AI publications either drown readers in technical jargon or offer superficial overviews, Bindra and Magazine strike a compelling balance between accessibility and depth. Their approach recognizes a fundamental truth: AI literacy is not about becoming a data scientist, but about developing the fluency to collaborate effectively with AI tools in our daily work.
The authors' cornerstone contribution is their five-part framework—READS, WRITES, ADDS, THINKS, and DOES—which transforms abstract AI concepts into concrete, actionable competencies. This framework represents a sophisticated understanding of how professionals actually encounter and utilize AI tools. Rather than presenting AI as a monolithic force, the authors deconstruct it into digestible components that mirror natural human cognitive processes.
The READS component addresses AI's capacity for information processing and analysis, while WRITES focuses on content generation capabilities. ADDS explores AI's role in enhancing human creativity and productivity, THINKS delves into AI's reasoning and problem-solving abilities, and DOES examines AI's potential for task automation and execution. This systematic approach provides readers with a mental model for understanding AI's diverse applications across different contexts.
What distinguishes this book from the crowded field of AI literature is its unwavering focus on practical application. The authors demonstrate considerable wisdom in their choice to emphasize tool mastery over theoretical understanding. Their exploration of platforms like ChatGPT, NotebookLM, Perplexity, and Copilot is not merely instructional but strategic, helping readers understand when and how to deploy different AI tools for maximum effectiveness.
The book excels in its treatment of workflow integration. Rather than presenting AI tools as standalone solutions, Bindra and Magazine illustrate how these technologies can be woven into existing professional practices. This approach acknowledges the reality that most professionals will not be starting from scratch but rather augmenting established workflows with AI capabilities.
The authors deserve particular credit for their thoughtful treatment of AI ethics. In a landscape where discussions of AI ethics often become either alarmist or dismissive, "Winning with AI" takes a measured approach that acknowledges real concerns while providing practical guidance for responsible AI use. The book addresses questions of bias, transparency, and accountability without becoming bogged down in abstract philosophical debates.
However, the ethical discussion could benefit from greater depth, particularly regarding the long-term implications of AI adoption on employment and skill development. While the authors touch on these concerns, a more robust exploration of the potential downsides of AI integration would strengthen their argument and provide readers with a more complete picture of the challenges ahead.
The book's accessibility is both its greatest strength and, paradoxically, a potential limitation. The authors' commitment to clarity occasionally results in oversimplification, particularly when discussing complex AI concepts like machine learning algorithms or neural networks. Advanced readers seeking deeper technical insights may find themselves wanting more sophisticated analysis.
Additionally, while the book's focus on current AI tools is valuable, it risks dating quickly in a rapidly evolving field. The authors acknowledge this challenge but could have provided more framework for adapting to future AI developments. A stronger emphasis on meta-learning—learning how to learn about new AI tools—would enhance the book's long-term value.
The treatment of industry-specific applications, while present, could be more comprehensive. Different sectors face unique AI adoption challenges, and more detailed case studies would help readers in specialized fields better understand how the framework applies to their specific contexts.
Perhaps the book's most significant contribution is its democratic vision of AI literacy. Bindra and Magazine reject the notion that AI expertise must be confined to technical specialists, instead arguing persuasively that AI literacy should be as fundamental as traditional literacy skills. This perspective is both empowering and necessary, as it recognizes that the benefits of AI will be most fully realized when they are accessible to the broadest possible audience.
The authors' background in AI strategy and digital transformation is evident throughout the book, lending credibility to their recommendations and frameworks. Their experience in practical AI implementation shines through in their emphasis on iterative learning and experimentation rather than perfect understanding before action.
Read detailed review here: https://pebblegalaxy.blog/2025/07/07/...
September 25, 2025
A simple and comprehensive playbook for enhancing your proficiency in integrating AI into your daily work life. The book introduces the ADAP framework that can be effectively applied across various use cases.
Moreover, the authors outline the AI Literacy Roadmap within a maturity model encompassing READS, WRITES, ADDS, THINKS, and DOES stages. This roadmap is accompanied by practical examples and a helpful guide to selecting the most suitable AI tool for specific use cases.
For those overwhelmed by the abundance of AI options and unsure of where to begin, this book serves as an excellent starting point. Given the fast evolving pace of LLM models, the book's website provides a continuous learning journey to keep pace with these advancements.
Moreover, the authors outline the AI Literacy Roadmap within a maturity model encompassing READS, WRITES, ADDS, THINKS, and DOES stages. This roadmap is accompanied by practical examples and a helpful guide to selecting the most suitable AI tool for specific use cases.
For those overwhelmed by the abundance of AI options and unsure of where to begin, this book serves as an excellent starting point. Given the fast evolving pace of LLM models, the book's website provides a continuous learning journey to keep pace with these advancements.
January 6, 2026
A practical, strategically oriented guide to understanding and adopting AI in the real world. Rather than focusing on technical minutiae, the author positions AI literacy as the defining skill for the coming decade — a mindset shift that prepares readers not just to use AI tools, but to think and thrive alongside them.
Displaying 1 - 3 of 3 reviews