Paid Media Optimization Default to . 1. Load the latest normalized snapshot, prior decisions, monitoring results, experiment state, conversion lag, economics, and platform capability manifest. 2. Identify the decision and causal evidence; do not optimize a metric in isolation. 3. Compare no-change, experiment, and mutation options, including learning, policy, tracking, inventory, and opportunity-cost effects. 4. Produce ranked recommendations with confidence and success measures. 5. Convert approved recommendations into mutation plans only through the main mutation gate. 6. Apply, verify, aud…