For the Silpo AI Factory hackathon, the interesting problem was not building another AI shopping chat. It was figuring out where AI should stop, where deterministic procurement logic should begin, and how MCP could execute a controlled supplier workflow at the end.
How Nivra went from a vague hackathon direction to a tested WebMCP workspace: choosing the right idea, making architecture the shared context, and proving that human UI, agent tools, and deterministic validation could work from the same model.
Most of an app can afford to be a little slow, a little clunky, and still get forgiven. Checkout can't. What you're actually selling in that flow isn't a UI — it's time-to-goal. Every architectural choice in there either protects that number or quietly taxes it.