### Answer I don't have access to Discord threads or chats from the last 2 months. I can only access the specific documentation and sources provided to me for each question. However, I can share best practices for deploying conversational AI with Retell AI based on available documentation: Deployment Best Practices: - Define clear goals and use cases before building your agent (consumer support bots, appointment schedulers, sales assistants, virtual agents) [(1) ]() - Choose the right agent architecture: single-prompt agents for simple linear flows with 1-3 functions, or multi-prompt/conversation flow agents for complex scenarios with multiple decision branches - Implement comprehensive testing using simulation testing and batch testing to identify issues early - Use post-chat analysis to extract valuable data and track metrics - Ensure security and compliance with built-in capabilities for PCI-DSS, GDPR, HIPAA, SOC 2, and ISO 27001 Configuration Best Practices: - Set appropriate

data_storage_setting

("everything", "everything_except_pii", or "basic_attributes_only") based on your compliance needs [(2) ]() [(3) ]() - Configure

data_storage_retention_days

(1-730 days) for automatic data deletion [(3) ]() - Use

webhook_url

and

webhook_events

to receive real-time updates on chat events - Leverage

post_chat_analysis_data

to extract custom insights from conversations If you're looking for community insights, I'd recommend visiting the [Retell AI Community Forum]() directly to browse recent discussions.

​ To learn more, see the sources I considered: [[1] How to Deploy Conversational AI | Retell AI](https://www.retellai.com/blog/how-to-deploy-conversational-ai) [[2] Update Chat](https://docs.retellai.com/api-references/update-chat) [[3] Get Chat Agent](https://docs.retellai.com/api-references/get-chat-agent) ​

Feel free to tag @AI Evy with additional questions. I also appreciate feedback, it helps me improve.