Monitor

Monitor every interaction your prompts make. Adaline’s monitoring tools track performance and delivers actionable analytics on thousands of prompt runs.

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Logs

Continuously verify that your LLM outputs meet your standards—automate tests, collect human feedback, debug in an interactive sandbox, and validate against real-world cases.

Automate Quality Checks & Human-in-the-Loop Feedback

Analytics

Bring clarity to your LLM workflows with instant dashboards, trend analysis, advanced filtering, and full trace-level detail—all in one place.

Monitor, Analyze, and Debug Your Model at Every Level

Monitor

Continuously verify that your LLM outputs meet your standards—automate tests, collect human feedback, debug in an interactive sandbox, and validate against real-world cases.

Bring clarity to your LLM workflows with instant dashboards, trend analysis, advanced filtering, and full trace-level detail—all in one place.

FAQs

What are spans and traces in AI monitoring?

What real‑time metrics can I view in the dashboard?

How do traces help diagnose AI performance issues?

How do I filter logs?

How does AI monitoring improve uptime and reliability?

What is prompt monitoring?

Why is prompt monitoring important for LLM apps?

Which metrics matter most in prompt monitoring?

How can prompt monitoring cut token costs?

What is prompt drift and how do I catch it?