The Gap Between AI Prototypes and Production Software: 10 Risks You Can’t Afford
We often meet founders who come to us with a familiar story. They have a compelling concept, a functional application running on their machine, and the sense that AI-assisted software development has
slaptick.hashnode.dev11 min read
Sara
This is a point that gets overlooked a lot. It's easier than ever to build an AI demo, but reliability, maintenance, security, and user experience are what determine whether something survives beyond the initial launch. One thing I've noticed while browsing new web apps on platforms like https://unstore.io that there are countless AI-powered prototypes being released every week, but only a small percentage feel production-ready. The difference is rarely the model itself. It's everything around it. The post does a good job highlighting why "it works on my machine" is still a long way from a sustainable product.