Part 4/10:
Generative AI has ushered in an age of rapid prototyping and development, creating workflows that used to span months, now condensed to merely days. Traditional methods of building AI systems often required significant time investments—months spent on data collection, model training, cloud deployment, and more. Today, with generative AI, it is possible to generate functioning prototypes by simply crafting a prompt within a fraction of that time.
This transformation paves the way for greater experimentation, allowing developers to explore multiple prototype ideas quickly. Andrew highlighted a shift from a sequential development mindset to one where building and collecting data can happen in parallel, accelerating the innovation cycle.