Optimization

Converra's optimization engine finds better versions of your prompts through AI-powered simulation testing—connecting directly to where your prompts live in production.

How It Works

  Your Production Stack          Converra              Back to Production
  ──────────────────────    ─────────────────────    ──────────────────────
  LangSmith / API / Manual  →  Optimize & Test    →  Deploy winning variant

1. Import - Pull prompts from LangSmith, your API, or paste manually
2. Analyze - Understand your prompt's structure and goals
3. Generate Variants - Create alternative versions targeting improvements
4. Simulate & Test - Test against diverse user personas
5. Select Winner - Identify the best-performing variant
6. Deploy - Push the winner 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
Data-Driven	Decisions based on simulated performance, not guesswork
Safe Testing	Test changes without affecting production users
Continuous Improvement	Iteratively improve over time
Transparent	See exactly what changed and why it works better