rupreetg
I reviewed a codebase a few months back where the core AI feature was genuinely good. Clean model integration, fast responses, a UI the team had put real thought into. They were proud of it, and they had reason to be. Then I asked some questions. What happens when the
grapine
Most AI project briefs contain three things: a description of what the business wants, a rough sense of the technology involved, and a lot of assumptions that nobody has written down. The build happens. The assumptions surface. The result was not quite what anyone actually needed. A good brief is
grapine
Most AI projects don't fail because the technology doesn't work. They fail because nobody agreed on what it was supposed to do. The brief was vague. The scope kept shifting. The developer built what they understood, which was not quite what the client meant, which was