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Our results across diverse benchmarks and multiple models suggest that language-based reflection can offer a scalable strategy for optimizing complex real-world AI workflows, especially in resource-constrained settings. GEPA also shows promise as an inference-time search strategy, showing ability to write code in very challenging domains.