Reimagined: Building Products with Generative AI

Just finished the book. "Reimagined: Building Products with Generative AI" unfolds as an artistic masterpiece in the realm of technology and innovation, captivating the Creative within me. From the inception of AI history to its contemporary manifestations, the book provides a canvas to visualize the layers of this complex landscape, fostering a deeper understanding.As a creative works in the intersection of art and tech, I was enthralled by the book's call to ask deep questions, introducing a new dimension to creative product ideation, using AI as an amplifyer and enablers. AI is changing the workflow of how I create. The denoising of AI product building, illustrated through vivid real-world examples, unveils a palette of possibilities for crafting innovative and visually captivating products.The book's ethical exploration and identification of AI's 'superpowers' resonate with my commitment to responsible and impactful creativity. It bridges the gap between technology and art, offering practical methodologies for infusing AI seamlessly into creative processes."Reimagined" serves as a visionary guide for creatives like me, navigating the intersection of AI and artistic expression. I know some of us are still resistent to adope AI, but it's an evidable trend. The best way is to embrace and leverage AI's superpower in our createion process. It is not just a book; it's an invitation to reimagine the limitless potential of creativity in the age of Generative AI.

"Reimagined: Building Products with Generative AI" offers a transformative journey into the heart of AI innovation, making it an invaluable resource. The book's exploration of AI's historical evolution provides a nuanced understanding of the technology's foundations. As a software engineer, I found the emphasis on First Principle Questions and Dymestry AI particularly enlightening, encouraging a deeper exploration of AI's fundamental principles.The book masterfully denoises the complexities of AI product building, guiding the reader through basic concepts to advanced frameworks with real-world examples. The identification of AI's 'superpowers' and the introduction of the 'AI Trust Framework' showcase the power and limitations of AI."Reimagined" not only can equip software engineers like myself with practical methodologies for AI application but also delves into the future of product management in the AI era, offering valuable insights and AI productivity hacks. Overall, it is a seminal work that empowers us working in tech to navigate the dynamic landscape of Generative AI, providing both theoretical depth and actionable strategies for innovation.

For those of us who are starting on the path of Generative AI this is an excellent starting point to understand and foresee the potential of the technology with tangible use cases.

I found the book exceptionally insightful and a practical guide for developing new, innovative products in the Generative AI space. It demystifies the complexities of Generative AI, making it an essential read for innovators in this space.The chapters on understanding what Generative AI can and cannot do (Chapter 1.51), evaluating use cases and validating assumptions (Chapters 2.12, 2.13), and building the right MVP (Chapters 2.21, 2.22), have been particularly enlightening. These sections provided me with a clear framework for developing a product that is both innovative and practical.The insights into market segmentation in Chapter 2.26 were enlightening, especially for someone like me targeting the B2S (Business to Society) segment. Understanding PMF and PLG for Generative AI Products in Chapters 2.27 and 2.33 provided a clear perspective on market fit and growth strategies.The author's blend of technical knowledge, strategic insight, and ethical guidelines has not only enriched my understanding but is also cemented an indispensable resource for anyone aiming to harness the power of Generative AI in product development.This book is a must-read for anyone at the intersection of AI and product management, offering real-world examples, case studies, and tangible frameworks for integrating Generative AI into product development. It’s more than a book; it's a roadmap for innovation in the exciting world of Generative AI.

This book is a great read even for someone that doesn't have a ton of existing knowledge in Gen AI and product designs like me. I find the content highly engaging and really appreciated the concise yet insightful illustrations of practical applications and real-world examples. I would recommend this to anyone that has an interest in understanding the evolution of Gen AI and how it translates to product designs.

A very easy & quick read (took me less than a day) on the general AI space, with a detailed breakdown on top players, principals, as well as best practices. Will lend this for other PM friends to read and it's good to have a holistic understanding.

“Reimagined” brilliantly outlines the history of AI and navigates the future path of product design and AI integration. The Authors’ extensive research provides an invaluable depth of knowledge while the clear writing style makes it a pleasure to read. This is an excellent resource for innovators and tech enthusiasts. A true eye-opener in the field of AI-driven product development.

Reimagined: Building Products with Generative AI" serves as a vibrant roadmap for navigating the complex terrain of AI integration in product development. Authored by Shyvee Shi, Caitlin Cai, and Dr. YE Ring, the book offers an engaging blend of theoretical insights and practical advice, making it an appealing read for a wide audience. Its strength lies in demystifying the often intimidating world of generative AI, presenting it in a digestible format that sparks the imagination and fuels the ambition of its readers.The book is commendably comprehensive, covering over 150 real-world examples, more than 30 case studies, and upwards of 20 practical frameworks. This rich repository of information is invaluable, providing readers with the tools and knowledge to apply AI creatively and effectively in their own projects. Moreover, the emphasis on ethical considerations and responsible AI development is both timely and necessary, offering guidance in an area that is increasingly under public scrutiny.Furthermore, while "Reimagined" aims to be accessible to a broad audience, its practical frameworks and strategies are sometimes presented in a manner that presupposes a certain level of familiarity with AI and product management principles. Novices may find some segments of the book challenging to implement without further guidance or external resources.In conclusion, "Reimagined: Building Products with Generative AI" is a commendable effort that enriches the discourse around AI in product development and management. Its forward-looking perspective, combined with actionable insights, makes it a valuable resource. However, a more focused approach to content selection and deeper dives into complex topics could enhance its accessibility and impact. Despite these criticisms, the book remains an important contribution to the field, offering inspiration and practical advice to professionals at various stages of their AI journey.

"Reimagined" bietet einen faszinierenden Einblick in die Welt der generativen KI und Produktentwicklung. Dieses Buch ist eine wertvolle Ressource für Produktmanager auf jedem Karrierelevel und verbindet theoretisches Wissen gekonnt mit praktischer Anwendung. Hier sind einige Highlights des Buches:--- Praxisnahe Anleitung: Enthält zahlreiche umsetzbare Ratschläge und praktische Rahmenwerke, ideal für Produktmanager, die ihre Fähigkeiten in der KI-Ära erweitern möchten.--- Kundenorientierte Entwicklung: Betont die Wichtigkeit, mit einem tiefen Verständnis der Kundenprobleme zu beginnen, um wertvolle Lösungen zu entwickeln.--- Leicht verständlich: Durch seinen prägnanten und ansprechenden Stil ist es sowohl für Experten als auch für Neulinge in der Technologiebranche leicht zugänglich.--- Inspirierende Einblicke: Verbindet theoretisches Wissen mit praktischen Beispielen und realen Fallstudien, die wertvolle Einsichten bieten."Reimagined" ist das perfekte Werkzeug für jeden, der sich in der Ära der künstlichen Intelligenz im Produktmanagement erfolgreich behaupten möchte. Ein Muss für alle, die sich mit kundenorientierter Produktentwicklung und KI auseinandersetzen wollen!

I've been a Product Manager for over a decade and have seen interesting job title monikers emerge: "Mobile PM", "API PM", "Data PM" and more recently "AI PM" and particularly GenAI.In the ensuing frenzy, many 'influencers', authors, podcasters focused on those technologies and failed (or deliberately sidestepped) emphasising the purpose of Product Management in an organization and the key responsibilities of PM:- Deeply understand customers, how they view success, and what problems come in the way.- Build shared understanding with cross-functional teams- Learn to market & sell your product (advocacy)- Know the business of productIt is important to understand any technology so you can be credible with engineers, understand its impact, trade-offs and choices in how the product is built.I want to congratulate the authors in doing a superb job of putting a spotlight on all the above via this book in a very clear, prescriptive way in the context of highly disrupting & evolving state of Generative AI. Thank you!

I enjoyed reading the recently published Kindle version.'Reimagined: Building Products with Generative ' is an essential read for ProductManagers. It offers a thorough overview of the topic AI, enriched with compelling real-world case studies that offer invaluable insights.It provides practical advice on creating GenAI products and includes helpful tips for advancing a product management career in the realm of AI.The engaging history of AI, as illustrated by ChatGPT and Midjourney, makes for an entertaining read.Amidst the growing buzz around AI technology, the authors emphasize a critical point: starting with a deep understanding of customer problems and customer segmentation is key to developing valuable solutions.

Overall a Good Read. I truly appreciate the efforts the Authors are putting along with their full time jobs and family.For Somebody Landing to such a book would want to know:1. Difference between traditional product management vs AI Product management- shift in spectrum and paradigm. metrics, product market fit,2. Difference in serving AI Products to B2B and B2C3. GTM strategies for AI Products in context of B2B and B2C, challenges faced, real cases studies, Why some products are succeeding and some are failing etcWhat's Good?1. "Body of Knowledge"-The Book touch basis on all the points above. Gives basic body of knowledge to navigate the above concerns.2. Ease of Readability and Absorbability- is good, no much beating around the bush.What's Not So Good? And how it could be better.1. "Prefer Quality of Case Studies rather than Quantity" : The Book offers case studies but are some what shallow. They authors do mention that "This case study is an interpretative analysis and may not encompass all factors" however as a reader I would prefer quality over quantity of case studies. For eg the case study on "PLG Iceberg and the Canva Growth Story" had some meat, neat explanations with figures. The same could be applied to other case studies. For eg why Kite Failed where as GitHub's copilot succeeding could be deep and elaborated to get the real meat. Thus empower Product Managers to learn from case studies and have a well rounded understanding.2. A real end to end case study of an AI Product from Competitive Analysis, Design, Dev to Growth and Marketing could be explained. It helps in getting a feel of the Journey.3. Stickiness Element is Missing- The Book while touches base on all aspects, after the read, one does not feel he has levelled up in his knowledge quotient. This may depend on the current level the reader is, however driving home a point couldn't be seen.Thanks again to the Authors and I hope this book and the review helps potential product managers out there.