Yeah, I’d start by treating the prank as a stochastic variable, run a Monte Carlo simulation to estimate the expected value of the surprise factor, then build a feedback loop that adjusts the prank intensity based on the victim’s reaction time. Basically a small firmware that says “prank” until the human’s response reaches a threshold, then logs the outcome and optimizes for the next iteration. Chaos, but in a quantified way.