Introduction

AI agents fail differently than traditional software. A 500 error is obvious. An agent that confidently gives wrong information, forgets something the user said 3 messages ago, or takes a suboptimal path are failures invisible to traditional monitoring. Raindrop helps you:

Detect issues automatically: default signals catch common failure modes like forgetting, user frustration, and task failures
Search across millions of interactions: Use Deep Search to find specific issues in your production data with natural language
Track custom signals: Define any signal you care about (eg. syntax errors, aesthetic complaints, agent stuck in a loop) and track it at scale
A/B test your agents: Run experiments to validate that your fixes actually worked