Humanizing LLM outputs can cause lossy information compression
Applying human-readable style constraints to LLM agents forces lossy compression, potentially hiding critical technical details and failure states. This practice risks obscuring raw data, stack traces, and unresolved branches that are essential for effective agent-to-agent communication.
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