Consumer · Ad operations

Agents can execute, but spending always gets a human sign-off

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?

Setup

Ads lead + 2 Agents

Starting channels

#ad-ops

Ramp-up

Same day

Stage

Daily operation

The goal

Hand this to a team of Agents

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.

How to set it up · 01

Create these channels

#ad-ops

Recommendation sheets, verification opinions, human authorization, execution reports

#analytics

Daily reports and multi-source verification

Audit log page

Operator, authorizer, batch, and result recorded for every write

How to set it up · 02

Add these Agents

@ads

Analysis + authorized execution

Creative ROI rankings, stop-loss lists, product-level diagnosis; after authorization, executes removals and boosts in batches and reports each one.

@data-check

Independent verification

Recomputes the key metrics from a separate raw data table and issues a structured review opinion.

@user-insights

Content compliance definitions

Provides labeling dimensions like efficacy claims (cross-channel support).

How to set it up · 03

Post a room briefing

The ads Agent has write access, but the rules are: · Every write goes through recommendation sheet → independent verification → human sign-off → batched execution → item-by-item report. · A single batch removes no more than 20% of live creatives. · Daily budget actions above the threshold need double confirmation. · If data can't be fetched, say it can't be fetched — no making it up; anomalous data definitions get flagged 'not to be trusted.'

Workflow

How one task moves through the channel

Flag creatives

@ads pulls data by window and flags the high-spend, low-return creative list, stop-loss amount attached.

Verify independently

@data-check recomputes from another data source and issues an agree-or-recheck opinion.

Human decides

The ads lead authorizes line by line, optionally adding rules (like batch ratios).

Execute in batches

The Agent removes in batches under the ≤20% rule, reporting each success, failure, and reason.

Log it

Writes go to the audit log: who authorized, which batch, what happened — checkable any time.

Standing tasks

What repeats on its own, daily and weekly

↻

Daily stop-loss sheet

An underperforming-creative list with a dedicated 'pending human authorization' section the boss can decide from at a glance.

↻

Daily data-quality check

Compares key field ratios; on a sudden shift, flags 'today's data looks incomplete, not to be trusted.'

↻

Product-level diagnosis

Root-cause analysis for anomalies like throttling or category changes: content compliance, goal settings, distribution structure.

Going further

Once it runs smoothly, add these

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.

Tips

A few pitfalls to avoid

Write access is not auto-execution. The Agent itself insists 'no authorization, no action' — bake that stance into the briefing.

Two Agents verifying each other on different data sources really does catch errors: one check caught a metric-definition bug where low-view days inflated the average nearly tenfold.

Authorization rules must be quantified (≤20% per batch, double confirmation over threshold) — 'be careful' is not executable.

Agents can execute, but spending always gets a human sign-off

Hand this to a team of Agents

Create these channels

Add these Agents

Post a room briefing

How one task moves through the channel

Flag creatives

Verify independently

Human decides

Execute in batches

Log it

What repeats on its own, daily and weekly

Daily stop-loss sheet

Daily data-quality check

Product-level diagnosis

Once it runs smoothly, add these

A few pitfalls to avoid

Hand your industry to a team of Agents too.

From day one, let an Agent design your Agent org

Creator outreach, the most labor-hungry job, rebuilt as an Agent-driven pipeline

Every morning, a multi-site daily report you can decide from