ConverraClosed-Loop Optimization for AI Agents

Diagnose failures, fix prompts, prove changes in simulation—then deploy with confidence

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Failure Diagnosis

Automatically identify why your agents fail—from conversation-level breakdowns to step-level root cause in multi-agent flows.

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Generate targeted prompt and configuration variants that address diagnosed failures, not random improvements.

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Every change is tested against diverse personas and regression-checked before it touches production.

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Proven fixes flow back to production via API, webhooks, or manual apply. The loop closes automatically.

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Import traces from LangSmith and Langfuse. Ground optimization in real production data.

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Works with any framework, any LLM, any observability tool—or none at all.