Evaluate complete behavior
Converra scores full conversations across task completion, accuracy, tone, safety, and custom business metrics.
LLM agent evaluation
Evaluate agents in the same shape they fail
Converra evaluates LLM agents across full multi-turn conversations, connects scores to root causes, tests fixes against the baseline, and verifies production impact.
Production proof
Salespeak orchestrator agent
100%
Hallucinations eliminated
The orchestrator stopped fabricating pricing, VAT rules, and infrastructure details — issues users were relying on as fact. Zero occurrences verified across production traffic since Apr 23 deploy.
68%
Fewer routing failures
Mis-routed queries dropped from 16% to 5% of production traffic after Apr 25 deploy. Verified.
0
Engineering hours
Converra generated and tested the fixes; Salespeak's CTO reviewed and applied the winning changes.
A score is not an improvement plan
Agent teams need evaluation, but a low score only starts the work. The useful output is an evidence-backed path from failed behavior to tested change to verified production lift.
Tie scores to root causes
The report does not stop at a low score. It identifies the step, turn, failure mode, and change direction.
Evaluate candidate fixes
Each fix is tested against the baseline, not judged in isolation, so teams see whether the candidate actually improves the agent.
Keep evaluation connected to production
After deployment, Converra checks whether the measured improvement survived contact with real users.
The evaluation workflow
Converra is built for teams that already have agents in production and need a repeatable way to improve them without handing every failure back to engineering.
- 1Import or collect representative production conversations.
- 2Score the agent across quality, safety, and business-specific metrics.
- 3Classify the root cause behind each meaningful failure.
- 4Generate and evaluate candidate fixes against the same test conditions.
- 5Use production verification to confirm the fix changed real behavior.
Evaluation as an input to improvement
Use Converra when you need evaluation to drive action: which behavior failed, what should change, whether the change is safer, and whether it worked after shipping.
Related reading
Simulation testing
How Converra tests agent changes through multi-turn simulated conversations before deployment.
Production verification
How Converra proves deployed fixes worked with before/after production evidence.
Salespeak case study
The flagship proof point: routing failures down, hallucinated claims eliminated, no engineering time to generate or test fixes.
LLM agent evaluation
How Converra connects evaluation scores to root-cause diagnosis and tested fixes.
Observability vs optimization
Why trace visibility is necessary but not enough to improve production agent behavior.
FAQ
What is LLM agent evaluation?
LLM agent evaluation measures whether an agent completes the right task safely and accurately across realistic conversations. It is broader than judging one generated answer.
How is Converra different from eval frameworks?
Eval frameworks help teams score known test cases. Converra uses evaluation as part of an improvement loop: diagnose failures, generate fixes, test candidates, and verify production outcomes.
Does Converra support custom metrics?
Yes. Converra can evaluate default quality dimensions and use-case-specific metrics such as routing accuracy, lead qualification, escalation correctness, or policy adherence.