Cohere has introduced the Cohere Prompt Tuner, a tool designed to optimize prompts for generative language models, aiming to refine and improve their effectiveness in enterprise settings. Prompt Tuner operates through a customizable optimization and evaluation loop that iteratively enhances prompts based on evaluation results powered by a large language model (LLM). The tool automates the traditionally manual process of prompt engineering, potentially unlocking model capabilities that are hard to achieve otherwise and has shown significant improvements in internal evaluations, optimizing prompts in 94% of use cases. By enhancing prompt engineering efficiency, the tool not only streamlines workflows but also facilitates transitions to new models and use cases. The tool has been tested across 41 enterprise applications, including summarization, customer support, and code generation, showing substantial improvements in performance, such as boosting a SQL prompt's score from 39% to 100%. Prompt Tuner's iterative refinement process ensures that prompts achieve near-perfect evaluation scores, thereby optimizing the development process and increasing overall productivity.