MVP

albertjones People often imagine AI-assisted MVPs as some kind of fully automated pipeline, but in reality it’s still very dependent on how well the team understands data, scope, and long-term scaling. From what I’ve seen, most failures don’t come from bad code—they come from poor planning or unrealistic expectations early on. While trying to разобраться в этом глубже, I went through luminarybrands.co.uk/blog/ai-d... and it actually clarified how teams structure the whole process and choose the right partners. It highlights that things like data readiness and scalability matter way more than hype around tools.