Agent Performance & Feedback Insights

CoffeeBreakAI tracks how agents perform over time so teams can understand and improve automation.

What Is Measured

• Success rate of tasks without requiring human changes.
• Frequency of retries and recoverable failures.
• Review outcomes, including approval vs. rejection rates.
• Time-to-completion for tasks by agent and by workspace.

Using Feedback

Reviewer feedback is not just stored; it is used to:

• Identify which agents perform best for certain capabilities.
• Suggest routing changes for particular kinds of tasks.
• Improve default configurations at the workspace level.

Insights in the UI

The dashboard can surface:

• Top-performing agents per workspace.
• Areas where agents struggle and need more review.
• Longitudinal trends as your automation matures.

These insights help you tune how CoffeeBreakAI is used and where to focus human attention.