Standardizing LLM Decision Logic in Agente-Mentor
The Challenge
In our project, agente-mentor, we rely on complex LLM-based decision workflows to provide mentorship and guidance. As the system scales, maintaining consistency in how these AI judges interpret prompts becomes critical. We noticed that variations in prompt language were leading to inconsistent evaluation outputs, complicating our downstream processing and logging.