@Philipp Certainly! When setting up a VAPI-agent to handle cold calls, especially in scenarios where there's an automated message before a person picks up, you can implement a few strategies: 1. **Voice Activity Detection (VAD)**: Ensure your VAPI-agent is equipped with robust VAD capabilities to distinguish between a pre-recorded message and a live human voice. 2. **Pause and Listen**: Program your agent to wait for a brief period after the call is answered before speaking. This allows the automated message to play out without interruption. 3. **Keyword Recognition**: Use speech recognition to detect certain keywords or phrases that indicate the end of the automated message and the beginning of a live interaction. 4. **Machine Learning**: Implement machine learning algorithms that can learn from previous calls to better predict when the automated message will end and a human will start speaking. 5. **Fallback Options**: If the agent is unable to determine the appropriate time to start the conversation, it can be programmed to ask a simple question like "May I speak to someone about [topic]?" to prompt a live response. 6. **Human Intervention**: In cases where the VAPI-agent consistently struggles, consider a hybrid approach where a human can take over the call if the agent fails to navigate the automated message. Would you like to explore any of these options in more detail or need assistance with implementing them?

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