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Scenario

Discord voice channels and Stage events capture unfiltered community language — how people actually talk about your product, their frustrations, and what excites them. This job takes voice channel transcripts (from an external transcription service), feeds them to Mavera’s Brand Voice endpoint, and creates a brand voice that mirrors your community’s natural speech patterns, slang, and emotional register. Flow: Transcription service → Collect transcripts → Mavera POST /brand-voices → Community-authentic brand voice → Test with POST /generations

Code

Example Output

Error Handling

Discord doesn’t provide built-in voice transcription. Use external services like Otter.ai, AssemblyAI, or a bot with speech-to-text. Feed transcripts as text files.
Without clear speaker labels, the voice blends all participants. Label speakers as User1/User2/etc. or by role for more distinct voice extraction.
Community slang evolves fast. Re-run voice extraction monthly to keep the brand voice current. Stale voice sounds like a parody.