Why it is useful
Observability and evaluation for production AI agents, with traces, alerts, and regression checks.
Highlights
- Finds failed tool calls, hallucinations, and token-burning loops in production.
- Traces and alerts make agent failures visible before users report them.
- Evaluation and A/B checks help teams verify that fixes actually improve behavior.
Best for
Builders moving an AI agent from demo quality toward dependable production behavior.
Source signal
Editorially reviewed on October 14, 2026 using the Product Hunt listing: view the source.
