Week-long exhaustive RF campaigns are costly and
slow to iterate. We show that agentic sweeps can synthesize
a one-hour acceptance test that statistically approximates the
conclusions of a week-long grid, with explicit confidence tracking.
Building on probabilistic boundary discovery [1], ghost-mode cost
analysis [2], drift-free parallel scheduling [3], and SLA quantile
envelopes [4], we construct a minimal test set that (i) maximizes
information gain, (ii) preserves robustness/ghost/SLA conclusions
within predefined tolerances, and (iii) transfers across sites and
hardware.