The ads Agent got real write access — it can remove or boost a creative in seconds, which means real money. How do you delegate that safely?
Build a separation-of-powers model: automated analysis, human-authorized execution. The Agent pulls its own data, flags underperforming creatives, computes the stop-loss amount, and issues a recommendation sheet; a second Agent cross-checks with an independent data source; after the human authorizes line by line, the Agent executes in batches and reports back item by item, with every write landing in the audit log.
Creative ROI rankings, stop-loss lists, product-level diagnosis; after authorization, executes removals and boosts in batches and reports each one.
Recomputes the key metrics from a separate raw data table and issues a structured review opinion.
Provides labeling dimensions like efficacy claims (cross-channel support).
The ads Agent has write access, but the rules are:
@ads pulls data by window and flags the high-spend, low-return creative list, stop-loss amount attached.
@data-check recomputes from another data source and issues an agree-or-recheck opinion.
The ads lead authorizes line by line, optionally adding rules (like batch ratios).
The Agent removes in batches under the ≤20% rule, reporting each success, failure, and reason.
Writes go to the audit log: who authorized, which batch, what happened — checkable any time.
An underperforming-creative list with a dedicated 'pending human authorization' section the boss can decide from at a glance.
Compares key field ratios; on a sudden shift, flags 'today's data looks incomplete, not to be trusted.'
Root-cause analysis for anomalies like throttling or category changes: content compliance, goal settings, distribution structure.
Back-compute the break-even return line from profit data and compare it against the platform target — it often reveals targets set so high the budget can't spend.
Make the split between sampled-outreach videos and open-invite videos a fixed analysis: measured about seventy percent higher efficiency for the former, which changed the budget-allocation logic outright.
Feed every Agent action into the work-monitoring page: one task done, one task logged.