The article discusses the journey of building a book recommendation project called BookLog+ from an idea to users, driven by the frustration of incomplete book readings and the need for better book discovery methods.
The founder, a CS freshman, utilized ChatGPT to design the tech stack for the project, focusing on essential features and MVP development, which received transformative feedback from a CPO that led to significant UX improvements.
The project incorporated AI integration to personalize recommendations based on users' specific book preferences and feedback, resulting in positive reviews from users and stakeholders, highlighting the impact of user-centric improvements.
Ultimately, the project not only showcased technical skills but also ignited a passion for product development and user problem-solving, motivating the founder to pursue product management to address real-world problems at scale.