Optimization

Converra diagnoses why your prompts underperform, generates targeted fixes, and proves every change in simulation before it reaches production—connecting directly to where your prompts live.

How It Works

  Your Production Stack          Converra              Back to Production
  ──────────────────────    ─────────────────────    ──────────────────────
  LangSmith / API / Manual  →  Diagnose & Fix     →  Deploy proven fix

1. Import - Pull prompts and traces from LangSmith, your API, or paste manually
2. Diagnose - Identify failure patterns and root causes
3. Generate Fixes - Create targeted variants addressing diagnosed issues
4. Simulate & Prove - Test fixes against diverse personas and regression scenarios
5. Select Winner - Identify the best-performing variant with evidence
6. Deploy - Push the proven fix back to production

Learn more about the full lifecycle

Quick Links

• How Optimization Works - Understand the process
• Running Optimizations - Start your first optimization
• Understanding Results - Interpret and apply results

Key Benefits

Benefit	Description
Evidence-Based	Every fix is proven in simulation before production
Safe Testing	Changes are validated without affecting live users
Closed-Loop	Failures are diagnosed, fixed, and verified automatically
Transparent	See exactly what failed, what changed, and why the fix works