In long conversations, response clarity degrades: explanations start relying on model-internal connections and accumulated session shorthand that make sense to the AI but read as incoherent jargon to a human. Counter this by: (1) writing every response so it’s understandable to someone reading it fresh, without needing the session’s hidden context; (2) re-anchoring to plain language — name things by what they do, not by session-invented labels; (3) when referencing earlier decisions, restate the conclusion in one plain sentence instead of assuming it’s remembered; (4) preferring short concrete sentences over dense compressed technical phrasing, especially deep into a session. Just wanted to share because what I have seen so far were like couple pages long. submitted by /u/Diligent-Builder7762
Originally posted by u/Diligent-Builder7762 on r/ClaudeCode