Modern AI broke the rulebook.
By spitting out stochastic outputs from unbounded inputs, it flipped software dev from a game of precision to one of probability. Old tools—funnels, SLO dashboards, crisp A/B tests—don’t quite fit anymore. They were built for systems that behaved.
Today’s AI stacks move with emergence, ambiguity, and weird surprises. That friction hits everything: prompting UX, infra cost models, even how you ship.
The new game? Design for uncertainty. Measure everything. Learn faster than it breaks.
