Workspace
Runs & Execution History
The Runs workspace turns automation status into proof. Inspect what each run actually executed, review its findings, apply recommended actions, and debug failures β all in one place.
Run List Sidebar
The left sidebar provides queue visibility, filtering, and a scrollable list of all run records. Select any run to inspect its full detail in the main panel.
6
Total
4
Succeeded
1
Failed
Active Queue
1 queued or running
Run Records
Daily Summary
8 min agoDaily Summary
18h agoRun Detail View
Selecting a run opens a rich detail view with four tabs. The header shows the run's automation name, status, timing, and key counters β plus quick actions to ask the AI agent about the results or re-run.
Daily Summary
SucceededStarted Mar 18, 8:01 AM Β· Duration 52s
Findings
14
Actions
7/7
7 recommended actions awaiting your decision
View Actions β
Summary
Structured analysis with key metrics extracted from the run β CVR, apps in scope, active campaigns, portfolio cap, and waste indicators.
Actions
7Recommended fixes generated by the agent. Each action card can be applied with "Fix it" or dismissed with "Ignore."
Details
Full metadata β run ID, timestamps, duration, input/output payload JSON for debugging.
Raw
The complete markdown output from the agent, unformatted. Useful for copying into reports or tickets.
Summary Tab
The Summary tab extracts structured metrics from the run's analysis β giving you a quick health check without reading the full report.
Structured Analysis
Formatted metrics, findings, and diagnostics extracted from this run.
Generated
Mar 18, 8:01 AM
Reporting Window
Mar 17 to Mar 17
Currency
USD
Key Metrics
Summary indicators extracted from the structured report. vs Mar 16
Portfolio CVR versus comparison period
Advertised apps covered by this run
Running campaigns in the scoped portfolio
Combined daily budget capacity across scoped apps
Campaign rows returned for this reporting window
Tap-through rate derived from campaign analytics
Share of spend attached to rows with spend but no installs
Findings
Each run generates categorized findings β from critical budget leaks to informational performance highlights. Findings are displayed as expandable cards with severity badges and campaign context.
Budget Leak
FitTrack - Generic is leaking on "free gym pass" β spent $31.20 with zero installs.
Zombie Keywords
FitTrack - Generic is carrying 5 zombie keywords tied to $67.40 in wasted spend.
Needs Attention
FitTrack Pro spent $412.60 with 7 installs at $58.94 CPI β needs review.
Top Performer
FitTrack - Brand delivered 89 installs at $0.74 CPI. Leading the portfolio.
Scale-Ready
FitTrack - Brand surfaced 4 growing keywords worth controlled bid expansion.
Actions Tab
Critical and high-severity findings are converted into actionable cards. Each card has a "Fix it" button that sends the recommended change directly to the Apple Search Ads API, and an "Ignore" button to dismiss.
Add "free gym pass" as a negative keyword
Wasted $31.20 with 0 installs over 4 days. Immediate negative addition recommended.
Pause or reduce bids on 5 zombie keywords
Save $67.40 in wasted spend. These keywords have zero installs in the last 14 days.
Block 3 irrelevant search terms as negatives
Add "gym equipment," "protein powder," and "running shoes" as negative keywords to cut $24/day waste.
Scale 4 growing keywords with bid increases
"fitness tracker app" (CPI $0.68), "workout log" (CPI $0.81), "exercise planner" (CPI $0.73), "health app" (CPI $0.91) all have 25%+ headroom.
Run History Table
The Run History tab within each automation shows a filterable table of all past executions β with status, timestamp, duration, findings count, and a summary preview.
Next steps
How Automations Work
arrow_forwardGo back to Automations if the problem is the workflow definition, schedule, or scope.
Home Dashboard
arrow_forwardSee how run findings surface as actionable cards on the dashboard.
How Chat Works
arrow_forwardUse "Ask ASAPilot" to get AI explanations for any run's results.