Examples
You have sat
these meetings.
Rollback on the average. Growth that hid churn. A 50% lift treated as a mandate. A recovered metric that still needs last week’s lesson.
Synthetic labs are labeled. Real Findings show publication status separately from outcome.
Source data & codeConversion fell. Both channels improved.
The rollback meeting. Total down, both channels up.
Follow the analysisSynthetic lab · revenueMRR grew. The starting customers shrank.
Headline +$10. Starting customers −$80. Reconcile before you celebrate.
Follow the analysisSynthetic lab · lesson reuseConversion recovered. Was it the same mechanism?
Last time it was mix. Check before repeating the story.
Follow the analysisSynthetic lab · reviewRetention was 50% higher. Did onboarding cause it?
A mandate and a forecast sitting on a self-selected 60% vs 40%.
Follow the analysisReal data · Sports YouTubeSports YouTube’s fall 2026 will look like a record season. The new view count is the leading reason
Real data from 746 sports creator channels across 14 sports. Same creators, same video age: long-form views rose 74% after YouTube changed how it counts a view, in the same weeks the football and soccer seasons began. What it means for creators, clubs, leagues, and sponsors.
Agent-reviewed · not human-approvedFollow the analysisReal data · ProcessHow the sports YouTube deck was built
Six aftergrid skills took one real question from a raw view count to a 10-slide deck someone can act on. What each skill did, what it caught, and the move you can reuse on your own data.
Follow the analysisReal open data · NYCTwo questions about New York
Real taxi, weather, and bike data. One inconclusive answer, one descriptive one, dead ends kept.
Draft Findings · not publication-approvedFollow the analysisNext time a metric moves,
bring a recommendation, not just the number.
Install two skills and paste the four-row prompts. See how far your agent gets past the rollback.
Try the four-row case