Introduction

AI can copy your style but often sounds dull or wrong. Follow these steps to train bots to match your true brand voice.

What’s the problem it solves?

AI tools often write generic text or make up facts, which can hurt your brand’s trust. Without clear rules, chatbots miss your unique tone and slip in errors.

Quick Summary

In late 2023, Sports Illustrated lost reader trust by running AI-written articles under false names. This shows how easy it is for AI to damage credibility when left unchecked.

To keep AI on track, teams set up three clear layers: fixed prompts that tell the AI exactly how to speak, a live cheat sheet (RAG) so it pulls real facts, and quality checks that catch tone slips or banned words. They start with close human review and only add more automation once the rules prove solid.

Next, pick a few top pieces that truly match your voice and feed them to the AI. Too many mixed examples confuse the model. Finally, keep testing outputs, tweak what fails, and use simple AI tweaks like LoRA before trying big retrains. Human editors stay involved to stop “tone drift,” wrong facts, or awkward phrasing.

Key Takeaways

• Unchecked AI can erode trust with bland or false content.
• Three guardrails help: reusable prompts, RAG fact checks, and style reviews.
• Quality over quantity: train on a small set of your best content.
• Test and tweak outputs with human feedback before full automation.
• Use light model tweaks first; full retraining is costly and often unnecessary.
• Editors and prompt experts are crucial to keep AI on brand.

What to do

• Create a set of fixed prompts that spell out your target audience, tone, and banned words.
• Build a trusted reference library for RAG so AI pulls real quotes and specs.
• Set up an automated checker for style and banned terms, and assign editors for final review.
• Choose 20–50 top-performing pieces that best show your voice and tag them with context.
• Split examples into training, test, and validation groups and blind-test AI drafts against human ones.
• Start with simple tweaks using LoRA adapters; reserve full retraining for truly unique voices.
• Monitor costs vs. editing time saved and adjust your approach every quarter.

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