Authors: Sowmya Palaniswamy
Abstract: In the fast-paced world of startup innovation, bringing a Minimum Viable Product (MVP) to market quickly and effectively is critical. Traditional MVP development often suffers from long timelines, manual work, and delayed feedback, which can slow down validation and increase risk. This article explores how artificial intelligence (AI) is revolutionizing the MVP process—enabling founders and product teams to ideate, design, test, and iterate with unmatched speed and precision. With AI-powered tools for UI design, content creation, user research, and data analysis, startups can drastically shorten validation cycles, reduce development costs, and improve product-market fit. Real-world examples demonstrate how AI tools accelerate decision-making and streamline product launches. At the same time, the article addresses challenges around over-automation, data ethics, and maintaining user trust. Ultimately, it presents a blueprint for using AI as a co-pilot to turn smart ideas into viable, scalable products—faster and more affordably than ever before
DOI: https://doi.org/10.5281/zenodo.16743216
