AI tools, recipes & communityThree points to take away
- 01
Separate what the system may recommend from what it may execute.
- 02
A business owner must set budget and shutdown thresholds.
- 03
Replay historical data to measure false positives and misses.
Where automation may help
High-frequency monitoring, rule-based alerts, and cross-account summaries are reasonable first targets. Scaling budget, changing audiences, or pausing creative should retain explicit approval.
Minimum viable trial
Use one account and one week of historical data. Record system suggestions, human judgment, final actions, and outcomes; expand only when errors are explainable and rollback is clear.
Verification checklist before action
Verify whether the current product separates read-only, recommendation, and execution permissions.
Run a bounded trial with non-sensitive samples and retain successes, failures, and human corrections.
Before wider use, name an owner, data boundary, stop condition, and review date.