Improve IVR Prompts with Custom Reporting

This tutorial demonstrates an approach for improving Interactive Voice Response (IVR) systems by gathering data on failed attempts and inferring their meaning based on successful attempts. The process involves using Deepgram with JavaScript and browser live transcription to set up live transcription in the browser, creating intents and triggers, matching user speech to intents, saving intent matches, and prompting the user to speak. The final report contains potential improvements that can be made to conversational AI intents.

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