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Metric-driven experiment loops: define a single measurable metric, baseline it, then iterate one change at a time — measure, compare, keep (commit) or discard (revert). State lives in git and a log file, not in context. Use for optimization work: make X faster, reduce bundle size, improve the benchmark, cut token usage, tuning parameters, or any run-measure-compare loop.