ConverraAutomate AI Agent Improvement

Generate fixes, simulation-test them, ship what works. Every fix passes 36+ simulated conversations and regression testing first. Each cycle builds on the last.

Get Started

API Reference

MCP Integration

🛠️

Automated Agent Fixes

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

🧪

Simulation-Tested Proof

Every fix survives 36+ simulated conversations and regression testing before it touches production. If any metric regresses after deployment, it rolls back automatically.

🔍

Step-Level Diagnosis

Identify why your agents underperform — from conversation-level breakdowns to the exact step and turn in multi-agent flows.

🔄

Ship Proven Improvements

Proven improvements flow to your stack via API, webhooks, or GitHub PR. Full audit trail, instant rollback.

🔗

Data Connectors

Ground optimization in real data. Import traces from LangSmith, Langfuse, or any OpenTelemetry-compatible source.

🌐

Stack-Agnostic

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