UNLOCK THE POWER OF WORDS IN THE AGE OF AI You don't need to code, you just need to know how to ask the right questions.
Prompting Made Simple is your essential guide to mastering the most valuable new skill of the 21st communicating with AI.
Whether you’re a CEO, entrepreneur, teacher, or just curious about AI, this book gives you the keys to unlock superhuman productivity, creativity, and decision-making, using the right words at the right time.
Inside, you’ll prompt frameworks to get exactly what you want from ChatGPT and other AIsReal-world examples for business, education, writing, coding, and moreTime-saving shortcuts and expert techniques for beginners and pros alikePitfalls to avoid, and how to future-proof your skills in the AI eraThink of ChatGPT like a genie. Your wish is its command, if you know how to ask. Written by bestselling author of AI Made Simple, and AI advisor Rajeev Kapur, Prompting Made Simple doesn’t just teach you how to talk to AI, it teaches you how to think in the age of AI.
Prompting Made Simple makes AI easy, useful, and fun. You’ll learn how better emails, plan smarter vacations, and organize your lifeGet AI to brainstorm, tutor, troubleshoot, and write with youUse real-world prompts that work right out of the boxIt’s like having a tech-savvy best friend on call 24/7 that is fast, practical, and sometimes laugh-out-loud surprising.
If AI Made Simple opened the door, Prompting Made Simple hands you the keys.
In "Prompting Made Simple: How to Use ChatGPT and Unlock the Power of AI" by Rajeev Kapur, the author delivers a clear, actionable guide to transforming artificial intelligence from a novelty into a true productivity partner. In an age when hundreds of millions of people use ChatGPT each week, few understand how to unlock its full capacity. This book explains not just how AI works but how to communicate with it effectively so it becomes a creative collaborator rather than a confusing chatbot. Kapur argues that the key to mastering AI lies in mastering the art of prompting - knowing what to say, how to say it, and when to build on it.
AI’s rapid evolution has left most users dazzled but underprepared. We now live in a world where algorithms recognize faces, generate art, and compose essays, yet people still treat these systems as search engines rather than as intelligent assistants that require structured communication. Kapur begins by clarifying what AI actually is: not a human mind, but a pattern-recognition system built from vast datasets. It doesn’t 'think' or 'understand' in the human sense. Instead, it predicts what comes next in a sequence of words or images based on prior examples. That’s why AI can seem brilliant one moment and nonsensical the next - it mirrors human knowledge but lacks lived experience. Recognizing this distinction is crucial to using it well. If you approach AI as a literal machine that needs direction, rather than as a human conversation partner, you can unlock far more accurate and creative results.
The author highlights that AI’s greatest strength is also its weakness. Because it generates new content from existing patterns, it can create original ideas - yet it may also reflect the biases or inaccuracies in the data it has learned from. When ChatGPT produces false information, it isn’t lying; it’s simply extrapolating incorrectly. That’s why effective prompting includes verification - asking AI to double-check its own work, cite evidence, or evaluate accuracy. Treating it as a tool rather than an authority ensures better reliability and keeps users in control of the output.
Once this foundation is set, Kapur introduces readers to the art of effective prompting. He compares AI interactions to working with a highly capable but literal-minded assistant: it will do exactly what you say, not what you meant. Vague commands produce vague answers. Precise, detailed prompts yield high-quality responses. To systematize this, Kapur introduces a simple yet powerful framework: RTCA - Role, Task, Context, Ask. This method helps users give AI a persona or role (such as 'career coach' or 'travel expert'), define the task clearly, provide necessary context, and articulate the final request or output. For instance, rather than asking 'write a cover letter,' a strong prompt might read, 'As a professional recruiter, write a confident but humble cover letter for a mid-level marketing manager with ten years of experience, applying to a creative agency.' This approach gives the AI everything it needs to generate tailored, relevant content.
Another major insight in "Prompting Made Simple" is that effective AI use involves ongoing dialogue, not one-off commands. Kapur introduces 'prompt chaining,' a technique that treats interactions like a sequence of logical steps rather than a single question. Just as a chef follows a recipe in stages, prompt chaining breaks big challenges into smaller, manageable tasks. Instead of asking ChatGPT to 'create a full business plan,' you might start by requesting market research, then target audience analysis, then financial projections, and finally assemble the pieces together. This structure not only clarifies your thinking but also guides AI toward more comprehensive and nuanced results.
He also describes several advanced variations of prompt chaining. 'Chain-of-Thought prompting' asks AI to explain its reasoning step-by-step, improving accuracy for complex problems. 'Few-Shot prompting' provides examples of desired output to model the format or tone. 'Reflection prompting' asks AI to review its own answer and refine it. 'Cascade prompting' breaks large projects into phases, while 'Tree-of-Thought prompting' explores multiple possible solutions before selecting the best one. Each of these strategies deepens collaboration with AI, teaching users how to 'think with' the system rather than simply query it.
Beyond mechanics, Kapur emphasizes the transformative potential of AI in personal life. He argues that most people underuse tools like ChatGPT by limiting them to professional tasks, when in fact they can enhance nearly every aspect of daily living. AI can build balanced routines, organize schedules, or generate workout and meal plans based on lifestyle constraints. It can act as a personal reflection coach, offering journaling prompts or helping users process emotions and decisions. For goal-setting, AI becomes a digital accountability partner, breaking long-term ambitions into achievable steps and tracking progress. Even relationships can benefit - before sending an impulsive message or reacting to conflict, you can ask AI to help phrase a more constructive response. In this way, Kapur repositions AI as a tool for emotional and practical intelligence, not just efficiency.
The same principles apply to professional contexts. Businesses that thrive with AI, Kapur argues, are those that master communication with it. Poorly designed prompts lead to the digital equivalent of chaos - as shown by viral examples of AI systems ordering absurd quantities of food or generating incomprehensible results. The difference between success and failure lies in specificity and structure. By giving AI clear roles, context, and tone, companies can generate everything from market analysis and ad copy to customer scripts and product ideas. For example, entrepreneurs can use AI to write social media strategies or simulate customer feedback. With prompt chaining, executives can develop ideas iteratively, using AI to brainstorm, evaluate, and refine concepts step by step.
Another key lesson is personalization. Kapur stresses that AI works best when it understands your style. Feeding the system with your writing samples or tone preferences helps it mimic your natural voice, allowing for authentic communication even when AI assists behind the scenes. In business, this means you can use AI to scale operations while maintaining brand personality. Instead of generic corporate messages, the results feel human, credible, and consistent.
However, Kapur balances this optimism with a sober assessment of AI’s limits. Despite its impressive abilities, AI is not human and lacks emotional understanding. It can imitate empathy but not feel it. This distinction matters, especially in sensitive communication. He also warns about privacy and bias - two recurring concerns in the digital era. Because AI systems learn from enormous data sets, they inherit both brilliance and prejudice. Users should remain vigilant, ask for balanced perspectives, and avoid sharing confidential or identifying information in prompts. Treat AI as a 'capable but forgetful intern': useful, fast, and eager to assist, but not fully trustworthy without supervision.
Ultimately, "Prompting Made Simple" positions AI not as a replacement for human creativity but as an amplifier of it. Kapur shows that the real value of AI lies in partnership - combining human judgment, ethics, and emotion with machine speed and precision. Those who learn to prompt effectively can multiply their productivity and creativity across every field, from business to personal growth. The book demystifies AI and makes it accessible, proving that you don’t need to be a technologist to use it well - you just need to learn how to ask the right questions.
In conclusion, "Prompting Made Simple: How to Use ChatGPT and Unlock the Power of AI" by Rajeev Kapur provides a roadmap for communicating effectively with artificial intelligence. The central idea is simple yet profound: AI’s usefulness depends entirely on the quality of your prompts. Through methods like RTCA and prompt chaining, users can achieve clarity, precision, and creativity in their interactions. When used thoughtfully, AI becomes a life-changing companion - helping you plan, write, analyze, and grow. But Kapur reminds us to remain grounded: AI is a tool, not a mind. It extends human capability without replacing human wisdom. Mastering prompting, therefore, is less about teaching AI to think and more about learning to think with it - a skill that defines the future of productivity, creativity, and human potential.
TL;DR If you’ve taken a short online course on AI prompting, you’ve already read this book.
Executive Summary Prompting Made Simple by Rajeev Kapur is a clear, upbeat introduction to AI prompting—great for total beginners, but far too basic for anyone with prior experience. It covers the usual advice: be specific, add context, set tone, and iterate on prompts.
Review I picked this up hoping for a few fresh insights beyond the beginner level. Instead, it felt like an extended version of a 30-minute LinkedIn Learning course—generic but well-organized. Kapur’s enthusiasm is genuine, and his explanations are clear, but there’s nothing here that seasoned users haven’t already seen.
If you’re completely new to AI and prefer to learn from books, this might be a gentle start. Otherwise, skip it and learn by experimenting directly.
Recommended For - Readers brand new to AI tools. - Anyone who prefers a simple, no-jargon introduction. For everyone else, Prompting Made Simple lives up to its name—just a little too well.
I’ve recently started using ChatGPT and AI tools. This book helped me understand how the Algorithms work and gave great tips on how to properly prompt. Highly recommend for anyone new to AI.
I’m pretty early in my AI journey but Kapur’s books have been insightful and pretty comprehensive. I appreciate how accessible this book is and that it goes deeper into actually promoting ChatGPT. Obviously we are still early on, so now is the time to get in on the ground level.
I do recommend Kapur’s other book about AI as a good starting point but you won’t go wrong if you choose to read this one first.