How it works
- Data collection - queries your agent’s runs, errors, costs, and user interactions from the configured time period
- AI analysis - an AI agent explores the data end-to-end, identifying trends, anomalies, and noteworthy changes
- Evidence linking - each finding is backed by links to the specific runs, sessions, and patterns that support it
- Delivery - recaps are sent to your Slack channels and appear in your dashboard
What’s inside a recap
Every recap includes:- Metrics comparison - key numbers (run volume, failure rate, cost, feedback) compared against the previous period so you can spot shifts instantly
- Trends of interest - the AI highlights what’s changing and why it matters, whether it’s a spike in errors, a drop in user satisfaction, or a model that’s costing more than it should
- Issues by severity - problems categorized as high, medium, or low, each with supporting user quotes and linked runs
- Topic breakdown - what users are asking about most, with percentage breakdowns and example prompts
- Highlights - the wins: improved success rates, efficiency gains, tools performing well
Configuring your cadence
Set your recap frequency from the Integrations page or through Slack:| Frequency | What you get |
|---|---|
| Daily | Quick snapshot of yesterday’s activity and any issues worth knowing about |
| Weekly | Deep analysis comparing this week to last, with full trend breakdowns |
| Monthly | Broader view of how your agent is performing over time |
Dashboard highlights
Recaps also appear as highlights at the top of your overview dashboard. Click any highlight to drill into:- A written analysis of what changed and why
- The key metrics behind the finding
- Links to the specific failures, runs, sessions, or patterns involved
- Example traces illustrating the trend