# Run the daily morning check across accounts

> Tier: recipe. Operating recipe: real tool sequence, core rules, known traps.

The daily sweep: delivery, spend pace, rejects, anomalies overnight, in minutes.

**Intent.** Overnight surprises caught before the client sees them.

## When to use

- Every working morning on managed accounts.

## When not to use

- Deep analysis: the morning check finds, day work explains.

## Sources

Required: any connected source

## Preconditions

- The account is ticked in the dashboard, confirmed via list_accounts.

## Inputs

- `window`: Analysis window. Default: last 30 days.

## Procedure

1. Check delivery status and overnight spend everywhere. — tools: `tiktok_get_delivery_status`, `meta_get_insights`, `google_ads_get_insights`, `pinterest_get_delivery_metrics`
2. Flag anything outside normal bands to a human, with links.

## Decision rules

- **When** Overnight spend deviates hard from the daily norm → **conclude** Flag first, investigate second: the morning check's job is speed, campaign-anomaly-investigation does depth.

## Evidence requirements

- Every figure carries its account, metric and window.
- Anything below a readable sample size is reported as unjudged, not as zero.

## Human approval boundary

- The readout changes nothing. Any change it motivates goes through Safe Writes: preview, human confirmation, then apply.

## Failure modes

- Overnight windows under-report conversions everywhere: pace on spend, never on CPA, before noon.

## Output

- **Readout**: The figures, with windows and accounts named.
- **Flags**: What deserves a deeper skill or a human decision.

## Related

- Skill: [campaign-anomaly-investigation](https://www.getmcpads.com/skills/campaign-anomaly-investigation.md)