Best Practices for Training AI Models on Your Newsroom's Style and Standards

Every newsroom has a distinct voice — AP vs. Guardian vs. Wall Street Journal prose sounds fundamentally different, even when covering the same story. Generic AI writing tools produce generic AI prose. Training or customising AI tools on your newsroom's style guide, archived articles, and editorial standards produces outputs that actually sound like your publication.

Fine-Tuning vs. Prompt-Based Style Enforcement

Full fine-tuning (retraining model weights on your archives) is expensive and requires technical expertise. For most newsrooms, prompt-based style enforcement is more practical: embed your style guide directly into the system prompt. Include: sentence length targets, preferred and prohibited vocabulary, tone descriptors, formatting rules, and 3–5 example paragraphs from your best work. Tools like Writer and Custom GPTs support this approach without coding.

Building a House Style System Prompt

A good system prompt for house style includes: "Write in the style of [Publication Name]. Use short, declarative sentences of 15–25 words. Avoid jargon unless defined. Use AP Style for titles and numbers. Preferred tone: authoritative, clear, neutral. Avoid: passive voice, adverbs of intensity (very, extremely), hedging without evidence (seems, appears). See examples: [paste 3 example paragraphs]." This prompt alone narrows AI output significantly toward your house voice.