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I built a tool to fix the problem in LLM replies

Show HN: I built a tool to fix the problem in LLM replies

I built a tool to fix the problem in LLM replies is active in the show hn launch space.

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Hi HN,I've been using LLMs to help draft replies and content, but I hit a wall: the "default" voice of standard models is painfully obvious. It’s always too cheerful, uses emojis incorrectly, and loves words like "delve" and "testament."I realized I was spending more time editing the AI's output to sound like me than it would take to just write the thing myself.So I built PostOwl to solve the "Style Alignment" problem.How it works: Instead of a generic wrapper, it uses your previous posting history to build a style profile. When you generate a reply, it dynamically injects your specific vocabulary, sentence length patterns, and tonal constraints into the context window (using a mix of RAG an

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Website: postowl.io

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