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I Trained an LLM on 75K of My Own Messages So It Would Stop Writing Like a Chatbot

DEV Community·Nic Lydon·25 days ago
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Frontier LLMs are good at figuring out what to say. They're bad at saying it the way you would. I've spent months using Claude and GPT-4o to draft content for a personal publishing system. The system prompt is detailed: first person, short sentences mixed with long ones, no LinkedIn buzzwords, lead with specifics. The drafts come back structurally correct every time. And they sound like a talented intern who studied my writing for an afternoon. Here's what a prompted frontier model produces when asked to write in my voice: By maintaining complete control over the hardware infrastructure, I eliminate the need to navigate third-party terms of service entirely. Here's what I actually write: The data lives on hardware I control. There's no terms of service to read because there's no service. Same idea. One sounds like me. The other sounds like a model following instructions about how I sound. Prompt engineering has a ceiling for voice matching. I built the thing that goes above it.…

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