Shub has been my mentor for years, and his guidance has deeply shaped the way I approach product thinking—especially in the AI space. So when I found out his book was out, I didn’t hesitate for a second. I bought it immediately, and it did not disappoint. The book feels like sitting in on one of his one-on-one sessions—clear, honest, and full of wisdom. What I love most is how grounded it is in real experience. Shub doesn’t just talk theory; he provides a structured, step-by-step guide to navigating the messy realities of AI product development. The frameworks are sharp, but the tone is humble. It’s like having him in the room with you while building. Whether you’re just getting started or trying to scale AI initiatives, this book is your blueprint. I’ll be recommending it often.

Prof. Shub is my fav professor at USC. I learned PM and AI a lot from his classes, and I believe now everyone can learn a lot from this book. It feels like a practical mentor by your side: straightforward, actionable, and full of real-world examples. Here are a few things I loved: - Clear, Step-by-Step Guidance - Hands-On Templates & Checklists - Balance of Strategy & Execution - Real-World Case Studies Happy reading and building!

If you’re building AI products in today’s tech landscape, Successful AI Product Creation is essential reading. Shub Agarwal delivers what most AI books don’t—a clear, actionable, end-to-end guide rooted in real-world experience. The 9-step framework is structured, practical, and immediately usable. It covers everything from stakeholder alignment to model acceptance criteria to UX for evolving, probabilistic systems. This isn’t theory. It’s the hard-earned wisdom of someone who’s shipped AI products in the wild and knows how to bridge strategy with execution. What makes this book stand out is its clarity and depth. It reframes AI development as a thoughtful, iterative process—not a race to automation, but a craft that requires patience, cross-functional alignment, and constant adaptation. Chapters like “AI is the New UX” and “Designing for Human-AI Interaction” offer breakthrough perspectives you won’t find elsewhere. Engineers will find tangible guidance. PMs will get strategic grounding. Even non-technical readers will walk away more confident in navigating AI initiatives. This isn’t a book you skim for tips—it’s a mentor in print. Annotate it. Return to it. Share it with your team. If you care about building AI products that actually work—products that learn, adapt, and create lasting value—then this is your new playbook. It’s the definitive guide for anyone serious about AI.

As a software engineer, I appreciated how real and practical this book is. It cuts through the AI hype and focuses on building products that actually work for people. Chapter 4 — Designing for Human-AI Interaction really stayed with me. It made me rethink how AI features shouldn’t just be about capability, but about trust, transparency, and user experience. A thoughtful read for anyone working at the intersection of tech and product.

I’m always on the lookout for material that bridges technical theory with product strategy. This book is that rare find. Shub A. provides an end-to-end blueprint for AI product creation—one that doesn’t just live in PowerPoints but is rooted in the friction of real-world application. The 9-step framework is rigorous and immediately practical. What personally stood out to me—and I suspect different readers will gravitate to different chapters—were Chapters 3, 4, 6, 7, and 10. Chapter 3’s exploration of patience in AI development was especially compelling. It reframes success not as immediate automation, but as the quiet and cumulative evolution where models begin to outperform humans in ways we often miss. That philosophical grounding is rare in today’s literature. Chapter 4 on stakeholder alignment and Chapter 6 on experimentation culture gave my teams specific tactics we could use the next day. Chapter 7, on model acceptance criteria, brought clarity to a topic we often treat with ambiguity. And Chapter 10—‘AI is the New UX’—redefined how I teach interface design for AI-driven systems. The idea that users are navigating probabilistic, evolving systems and need interfaces that reflect that reality? It’s a breakthrough lens. This is not a book to skim for tips—it’s a total, end-to-end read for anyone serious about building AI products with integrity, clarity, and vision.

I've been working in AI for several years now, and this book came at the perfect time. The exploratory phase is over - enterprise organizations want to see real P&L impact from their GenAI investments, not just cool demos. Shub Agarwal gets this reality. The book focuses on proving value and showing ROI, which is exactly what we need right now. His 9-step framework isn't theoretical - it's built for the current environment where every AI project has to justify its budget. The depth here is impressive. Instead of surface-level advice, you get detailed strategies for implementation tied directly to business outcomes. The case studies from major companies show how this actually works in practice, not just in theory. What I found most valuable were the sections on measuring impact and scaling successful pilots. These are the real challenges we're facing today - moving from proof of concept to production systems that deliver measurable value. The book covers both traditional AI and generative AI, which is helpful since most organizations are dealing with both. The practical tools and frameworks are things you can use immediately. Well done.

This book made AI product development feel way more approachable. Clear steps and real advice from someone who’s built things at places like Amazon and Microsoft—and now teaches AI too. I found myself taking a lot of notes. Definitely something I’ll come back to as I work on AI projects.

This book was exactly what I needed to deepen my understanding of AI product development. Shub distills a complex subject into a clear, actionable framework. The 9 steps aren’t just theoretical—they’re rooted in real-world application. One of the highlights for me was the central diagram that ties the entire framework together. It’s simple yet powerful, offering a visual anchor that helped me connect the dots across strategy, execution, and iteration. I especially appreciated the emphasis on cross-functional collaboration and aligning AI capabilities with actual business value. This is not just another AI book—it’s a product playbook I’ll return to again and again.

This is such a fantastic read! The way author breaks down complex AI concepts into digestible steps is impressive. The inclusion of real-life case studies helped me see how those theories can actually be applied. I can't recommend this book enough for anyone wanting to enhance their understanding of AI in their work!

This book is a valuable resource for leaders! Agarwal connects AI technology with practical strategies and ethical insights. Highly recommend!

As a student researching AI, I found “AI and Generative AI Product Creation” extraordinarily well done. Shub Agarwal dives deep into AI frameworks and the essential ethical issues that come with them. This book is a must-have for anyone looking to gain practical insights into AI, whether you're a student or a professional.

(Co-Founder, Chief AI Officer & President, LiveX AI; IEEE Fellow; Founding Head of R&D, Google Cloud AI; AI Professor at Stanford) "Shub Agarwal’s insights and expertise make this guide an indispensable resource for anyone looking to succeed in the transformative world of AI."

(Chief Operating Officer, Inflection AI) "This book is a crucial guide for anyone who wants to understand and shape the future."

(Best-Selling Author on AI; Formerly with McKinsey & Company) "A much-needed resource in AI product creation, offering a step-by-step framework, insightful case studies, and practical strategies for Generative and Traditional AI."

(AI Faculty at UCLA; Former Director of Product Management, Google; Harvard MBA) "This book delivers an enduring strategic framework while skillfully adapting core principles—like stakeholder management—for the evolving demands of AI-driven products. Real-world case studies bring concepts to life, providing concrete, actionable insights."

(AI Faculty at UCLA; Former Director of Product Management, Google; Harvard MBA) "This book delivers an enduring strategic framework while skillfully adapting core principles—like stakeholder management—for the evolving demands of AI-driven products. Real-world case studies bring concepts to life, providing concrete, actionable insights."

(Co-Author, Llama Models; Ex-Tech Lead & Applied Research Scientist, Meta) "A breath of fresh air amidst the current AI climate of doom and hype, offering deep insight into how product leaders can not only adapt but thrive in the new age of AI."

(Professor, Product Management, Carnegie Mellon University School of Computer Science) "If you want to create successful AI products, Shub’s book is a must-read. He shares incredible insights drawn from his extensive experience, making complex AI concepts accessible."

(CPO, ZeroToWow; Product Lecturer & Mentor) "Shub’s book is a masterclass in AI and Generative AI product management."

(Founder & CTO, TipHaus; Former Director of Engineering at a Silicon Valley Generative AI Startup) "Shub, a visionary leader, shares battlefield-tested strategies that equip product leaders and entrepreneurs with the tools to build innovative AI products. This book is poised to become the definitive resource for AI product management."

(Product Leader, Meta) "A must-read for AI product managers in both startups and large firms. This book blends academic rigor with industry expertise, providing a clear framework and real-world case studies."

(Former Head of Product Strategy, Google) "This book provides a clear, actionable blueprint for implementing Generative AI—an essential guide for anyone committed to driving AI transformation."

(UX Design Leader, Apple) "The technological advancement of AI/ML has a profound impact on UX. Shub’s emphasis on AI’s role in user experience makes this book invaluable for designers and business leaders alike."

(Former Chief Product Officer, Talkdesk) "Shub’s book is a catalyst for transformative ‘aha’ moments, empowering product leaders to build groundbreaking AI products in a rapidly evolving landscape."

(Professor, UC Irvine & INSEAD’s Product Leadership Programme) "In the wake of the AI/ML explosion, a major challenge is making AI core to company strategy. Shub delivers a practical ‘how-to’ that alleviates that pain."

(Founder of an AI Startup; Former PM Lead at Amazon, Zynga, and multiple startups) "The software stack will be rewritten across industries. This book helps you build that foundation—highly recommended."

(Founder & CEO, Serial Entrepreneur, Board Member, Startup Advisor, Investor, IIT) "Build AI solutions that deliver real economic value while remaining responsible and sustainable."

(MIT Sloan Fellow, Co-founder, Darshana; Former Executive, Microsoft, Amazon, and AWS) "A must-read to scale impactful AI solutions—use it, share it, and drive innovation!"