Boosted agent performance
A team at a Fortune 500 company was developing a series of interrelated data models. These data models would drive the product UI, including an AI agent that was key to product adoption and retention. But the data model content — API names and descriptions — didn’t meet standards that would provide good context for the LLM that powered the agent. I made a major improvement in LLM context for the agent by rewriting the content to clearly represent the model’s inherent structure and relationships.