Ringg AI APIs for Developers

Assistant Configuration

Choose the right voice: Select a voice that matches your brand personality and target audience. Test different voices to find the one that resonates best with your users.
Craft clear prompts: Write concise, natural-sounding prompts that guide the conversation effectively.
Use custom variables: Personalize conversations by incorporating custom variables like the caller’s name, transaction details, or other relevant information.
Set appropriate voice speed: Adjust the voice speed to ensure clarity. A moderate pace (around 1.0) works best for most use cases.

Use Karnataka (KA) numbers: For Indian audiences, numbers starting with 080 (Karnataka) often have better recognition and pickup rates.
Optimize call timing: Schedule calls during business hours when recipients are more likely to answer.
Implement call retries: Configure retry attempts for unanswered calls, but limit to 1-2 retries to avoid being perceived as spam.
Monitor call metrics: Regularly review call duration, completion rates, and user feedback to identify areas for improvement.

Keep introductions brief: Start with a concise introduction that identifies the assistant and the purpose of the call.
Use natural language: Write conversational scripts that sound human and avoid robotic language.
Prepare for common scenarios: Anticipate different user responses and create appropriate handling paths.
Include clear call-to-actions: End calls with clear next steps or instructions for the recipient.

Test across different networks: Ensure your calls perform well across various mobile networks and connection qualities.
Monitor latency: Keep response times low to maintain natural conversation flow.
Implement proper error handling: Create graceful fallbacks for when users provide unexpected responses.
Limit concurrent calls: For bulk campaigns, start with a smaller number of concurrent calls (5–10) and gradually increase based on performance.