### Answer Yes, Retell AI supports setting dynamic variables from third-party software. Here's how: ## For Outbound Calls When using the Create Phone Call API, pass your variables in the

retell_llm_dynamic_variables

field: [(1) ]()

json
{
  "user_name": "John Smith",
  "product_name": "Premium Plan",
  "account_status": "active"
}

All values must be strings. ## For Inbound Calls You can supply dynamic variables via the Inbound Call Webhook. ## Using the SDK Here's an example using the Retell SDK: [(2) ]()

javascript
const phoneCallResponse = await client.call.createPhoneCall({
  from_number: '+14157774444',
  to_number: '+12137774445',
}) ;

With dynamic variables included:

json
{
  "from_number": "+16504144521",
  "to_number": "your_target_number",
  "override_agent_id": "agent_71724df7636716ceb3a7e244c8",
  "retell_llm_dynamic_variables": {
    "name": "Sarah"
  }
}

## Default Variables You can also set default values for dynamic variables at the agent level in the dashboard, which serve as fallbacks when specific variables aren't included in the call request. [(1) ]() ## In Prompts Reference your variables using the

{{variable_name}}

syntax:

"Hello {{user_name}}, I understand you're interested in {{product_name}}. How can I help you today?"

​ To learn more, see the sources I considered: [[1] Dynamic Variables](https://docs.retellai.com/build/dynamic-variables) [[2] Here is how that can be fixed](https://retell.discourse.group/t/here-is-how-that-can-be-fixed/23) ​

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

### Answer Yes, Retell AI is designed for production-grade voice agents capable of handling high volumes of customer inquiries. Here's what makes it suitable for your real estate use case in the UAE: ## Core Capabilities Scalability & Performance - Retell AI serves over 3,000 businesses who need to build AI voice agents, demonstrating proven scalability in production environments [(1) ]() - The platform supports handling thousands of concurrent calls instantly, with zero wait time [(2) ]() - One client replaced 8 team members with a single AI agent, demonstrating capability to handle complex, high-volume scenarios [(1) ]() Low Latency - Retell AI achieves approximately 780ms end-to-end latency, which falls within the sub-800ms threshold considered optimal for natural conversations - Low latency is crucial because high latency can lead to customer frustration, disrupted conversation flow, and lower trust in the AI system ## Key Features for Real Estate - Real-time call transcription with sub-second processing - Post-call summaries and analytics for performance optimization - Knowledge-base auto-sync for dynamic information updates - Warm transfer capabilities for seamless human handoffs - Batch outbound calling campaigns for proactive outreach ## Building Without Code Retell AI offers a no-code platform that allows you to: [(3) ]() - Design conversational flows using an intuitive visual interface - Customize LLM prompts without coding - Integrate with CRMs, calendars, and other business tools - Monitor performance through a comprehensive analytics das

hboard ## Industry Applications Retell AI is used across healthcare, insurance, financial services, logistics, home services, retail, and travel-hospitality contact centers [(1) ]() . Common use cases include lead qualification, appointment scheduling, and customer support [(3) ]() . If you need implementation assistance, Retell has certified partners who specialize in building voice AI solutions for various industries [(4) ]() .

​ To learn more, see the sources I considered: [[1] ](https://www.retellai.com/resources/sub-second-latency-voice-assistants-benchmarks) [[2] AI Voice Agent](https://www.retellai.com/glossary/ai-voice-agent) [[3] Building AI Agents: The Ultimate Guide for Non-Programmers | Retell AI](https://www.retellai.com/blog/how-to-build-ai-agents-for-beginners) [[4] Find a Certified Partner | Retell AI](https://www.retellai.com/partners-copy) ​

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