AI Product Management: New Best Practices in a Generative AI World
The rise of generative AI and AI-based developer tools is reshaping best practices in AI product management. This article highlights the importance of using concrete examples (inputs and desired outputs) to clearly define product specifications. This not only helps teams move faster but also improves the efficiency of assessing technical feasibility. For example, prompting LLMs to test their accuracy on specific tasks allows for quick validation of product ideas. Furthermore, tools like Replit and Vercel empower product managers to build prototypes independently and gather user feedback, accelerating iteration. In short, AI is revolutionizing AI product management, demanding that product managers master new best practices to meet the rapidly evolving market demands.