Agents help AI Engineers shape requests into useful AI workflows.
Score each model's legal extraction against the expected answer.
Your LLM performance benchmarks show scored legal extractions and a current model comparison as new cases become ready.
Review AI application patches for likely defects and test gaps.
Get a second opinion on your code patch, with actionable findings in the shared review document before your team merges the change.
Run saved prompt flows on test cases and trace failed results.
Get a results table that pairs prompt test inputs with answers, flags failures, and shows which flow run produced them.