Evals
The quality and learning layer that defines what good looks like for enterprise agents.
Evals turns agent work into measurable feedback. It captures traces, rubrics, reviewer annotations, scores, and outcome signals so teams can improve agents continuously instead of guessing whether they are ready for production.
Make quality inspectable
Traces
Capture what happened during an agent run, including decisions, tool calls, sources, and intermediate outputs.
Rubrics
Define what good means for each workflow across accuracy, completeness, policy, tone, grounding, and business fit.
Annotations
Turn expert review into structured feedback that improves prompts, workflows, data access, and agents over time.
How Evals compounds learning
01
Capture the run
Record the full trace of what the agent did, what sources it used, and where judgment entered the workflow.
02
Score against rubrics
Evaluate outputs against explicit standards for quality, risk, compliance, grounding, and task completion.
03
Feed improvement
Use annotations and scores to improve prompts, workflow design, permissions, agent behavior, and product decisions.
Evals inside Bedrock
Evals closes the loop between Workspace and Engine. Workspace creates real human-agent work. Engine executes it securely. Evals measures the result and turns every run into a learning signal.
Transform today
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