The doctor for your agents.
Then it meets real users and silently failsforgets contextgets stuck in loopshallucinatesfrustrates usersrefuses requestssilently fails
Traditional monitoring catches code errors. But AI agents fail differently—they forget context, give vague answers, get stuck in loops. These failures don't throw exceptions. They silently frustrate your users.
90% of AI engineering is manually reviewing traces to understand what's happening. It's slow, expensive, and doesn't scale.
"Find all runs where agent gave financial advice without a disclaimer"
"Cases of someone trying to jailbreak my agents"
Natural language search across your entire trace history. Describe what you're looking for—we'll find every instance.
The analyst for your AI agents. See every trace, detect every issue, search in natural language. Know exactly what your agent is doing in production.
Silent failures, loops, hallucinations—caught automatically
Natural language queries across millions of traces
Real-time Slack notifications. Daily digests.
Patterns, trends, and insights surfaced automatically
We send you alerts when your AI misbehaves and links straight to the events so you can dig into the conversations, understand the root cause, and fix it—fast.
Dec 2, 2024
Messages: 325 (+9%)
Users: 78 (+5%)
Issues: 3 detected (42 events across 18 users)
Users liked the assistant's tone and appreciated the life advice.
"The recent speed improvements are genuinely noticeable, especially on long inputs." — user_208
"Fewer false positives on moderation — way better now!" — user_642
Common Patterns: context retention, response quality, and task completion
Top Issues: Forgetting (+50%), User Frustration (-20%), Laziness
"It forgets what we talked about just 30 min ago." — user_391
"Answers feel vague and unhelpful, often just restating my question." — user_827
Track any behavior using just natural language. Pin-point issues and dive into traces to find the root cause.
Log thumbs downs and tool calls with the SDK, create regex signals, or track any other behavior. We help you find the patterns in both positive and negative signals.
Don't just monitor—improve. Generate automated evals from production data, then let your agent evolve through self-supervised RL on real traces.
Generate evaluation datasets from production traces. Test before you ship.
Your agent improves continuously through RL on real user interactions.
Train smaller, faster models that match your expensive model's performance.
We spent thousands of hours staring at traces, debugging loops, and squeezing out every point of performance. These tools are what we wished we had.
Start monitoring in 5 minutes. Free trial, no credit card required.