Voice-to-text rambling improves LLM prompt context and coherence

Using long-form voice input allows users to provide unstructured, stream-of-consciousness context that LLMs can reconstruct into coherent instructions. This method reduces the need for precise prompt engineering by leveraging the model's ability to clean up messy verbal inputs.