Harness Feature Management & Experimentation (FME) significantly enhances AI models, such as HeySam, by providing precise control over preference data collection, which is vital for fine-tuning AI responses to sound more human-like. This capability is especially important for AI applications like ChatGPT, which use techniques such as Direct Preference Optimization (DPO) to align responses with human preferences, allowing AI communication to feel more natural and personalized. By leveraging traffic types and feature flags, companies can tailor AI interactions without the complexity of traditional systems, crucial for AI roles like virtual sales engineers, who need to adapt their communication style to different customers. Harness FME's ability to create feature flags applicable to individual users or entire organizations allows for the collection of preference data without permanently altering user experiences, facilitating the fine-tuning of AI models to emulate specific professional roles effectively. This approach is underscored by the substantial investments and industry interest in AI-human interaction, as evidenced by Google’s acquisition of Character.ai, demonstrating the growing business potential of AI that communicates in a human-like manner.