See what happened
Trace each task step, tool invocation, reasoning output, and final outcome.
PAGE 08 / EVALUATION & OBSERVABILITY
Production intelligence
needs proof.
Test agents and workflows against reliability, grounding, tool accuracy, safety, and the business outcomes that matter to your enterprise.
TEST RUNS
RUN 001
RUN 002
RUN 003
RUN 004
RUN 005
TASK SUCCESS 94%
RELIABILITY 91%
TOOL ACCURACY 97%
GROUNDING 89%
SAFETY 99%
DEMO / ILLUSTRATIVE EVALUATION METRICSRepeat the test
Compare runs across changing inputs, edge cases, rate limits, and recovery paths.
Keep full control
Route high-risk decisions, permissions, and human review into the evaluation loop.
AI EVALUATION FAQ
Questions on AI Evaluation & Benchmarking.
AI Evaluation tests model outputs against established benchmark suites to measure accuracy, latency, safety, and hallucination rates prior to release.
Regression suites run automatically on every prompt change or code release, blocking deployments if accuracy or safety scores drop below threshold.
We evaluate task completion rate, tool call precision, context relevance, response latency (TTFT), token efficiency, and guardrail compliance.
Yes. We audit third-party agent systems and custom LLM deployments, delivering empirical scoring and optimization recommendations.
By comparing output embeddings and semantic similarity scores against golden dataset baselines across hundreds of edge-case test runs.
EVALUATION BENCHMARKING