The intent compression paradox: How LLM developers are solving semantic erosion to keep human intent alive
THE SO WHAT
Semantic erosion and intent compression are why long, multi-step prompts drift and why agents go off-spec. If you're building on LLMs, budget engineering time for intent-preserving patterns—structured schemas, intermediate representations, and tight feedback loops—not just better prompts.
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