Follow every trace
Inspect inputs, outputs, spans, latency, and scores in the context of the whole workflow.
Observability & evaluation for AI
Follow every trace, find what went wrong, and turn real examples into evaluations. One place to understand and improve your AI workflows.
Inspect inputs, outputs, spans, latency, and scores in the context of the whole workflow.
Build datasets from the cases that matter. Test changes with repeatable evaluation runs.
Use scorers, human reviews, and dashboards to understand how your application performs.
Start with the evidence you already have. Trace a workflow, review an unexpected result, and keep that example as a test for the next change.
Datool helps teams inspect AI traces, build evaluation datasets, and measure quality with scorers. Follow a request from input to output and see where it needs work.
Use recorded traces or dataset cases to evaluate your AI workflows. Combine code-based and LLM scorers with human reviews, then compare results across evaluation runs.
Sign in with your approved Google account, select a workspace and project, and follow the project setup instructions to connect your application.
Connect your application and take a closer look.