tl;dr: Instructing LLM agents to produce human-friendly output (short sentences, Simplified Technical English, "talk to me like I have ADHD") forces lossy compression during the actual work, hiding failures, uncertainty, and dense technical detail behind pleasant prose. Like databases, compilers, and APIs, agents should preserve high-fidelity state internally—especially when communicating with other agents—and only humanize output at the final boundary where a person consumes it. The viral "humanize my LLM" prompts are really a bug report about tooling that applies presentation logic at the wrong layer.