Fine-Tuning LUNA AI for Human-Centered Clinical Collaboration

This case study explores how we fine-tuned LUNA to act less like an algorithm—and more like a thoughtful assistant. Through prompt design, intent recognition, and tone calibration, we taught LUNA to listen, adapt, and defer to human judgment. The result: better adoption, higher trust, and a more human-centered AI experience in clinical care.