Trusting AI agents to perform tasks autonomously depends more on the context and the specific use case rather than solely on the model's capabilities. Increased model performance does not automatically justify greater delegation of responsibilities without proper evaluation.

Large Language Models (LLMs) can introduce errors into documents when tasks are delegated, raising concerns about trust in their execution. DELEGATE-52 is introduced to study the impact of LLMs on document integrity during delegated work.