How to Calibrate OSCOM's AI to Match Your Brand Voice Perfectly
OSCOM's AI voice calibration learns from your best content. Here's how to train it for every content type you produce.
The AI voice calibration system analyzes your existing content to learn your brand's unique writing patterns, vocabulary preferences, tone variations by content type, and structural choices. The result is AI-generated content that sounds like your team wrote it.
The calibration process involves three steps: upload sample content (5-10 pieces per content type that represent your best work), answer calibration questions (formality level, technical depth, humor usage, perspective, and values), and review calibrated output (the AI generates test pieces that you score and provide feedback on).
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We cover how to select the best sample content, how to answer calibration questions for nuanced voice guidelines, the feedback process that refines calibration over time, and how to maintain separate voice profiles for different content types (blog posts might be conversational while whitepapers are formal).
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