- Automatic prompt improvement through reflective learning
- Sample-efficient optimization (up to 35x fewer iterations than traditional methods)
- Transparent evolution history with scores and ancestry tracking
- No fine-tuning required - works with existing models
- High performance - achieves 0.99+ scores on pedagogical tasks
- Optimizing support response templates
- Refining instruction prompts
- Improving task-specific outputs
- Evolving domain-aware technical documentation
- Security code review templates