Dashboard Setup
Create your agent through the dashboard for immediate deployment:1
Add new agent
Go to your agents and click on “New Agent”
2
Configure
Set your avatar, system prompt, and knowledge base
3
Deploy
Click the options menu for your agent for deployment options:
- Share: Get a direct conversation link
- Embed: Generate HTML snippet for iframe integration
Advanced Setup
Beyond basic agent creation, these features enable specialized configurations and integrations for specific use cases.Extra Capabilities
Extra Capabilities
Enhance your agent with additional capabilities using the Create Agent endpoint.Currently supported capabilities:
- Webcam Vision: Agent sees the user’s camera feed for more authentic conversations
- Wakeup Mode: Agent responds only to specific trigger keywords or phrases, ideal for assistant-style interactions
Dynamic Personalization
Dynamic Personalization
For personalized interactions with just-in-time context (like candidate-specific interviews), you can create agents programmatically via API.See our code example for complete implementation details.
Use your own LLM
Use your own LLM
For organizations requiring data sovereignty or custom model deployment, you can configure agents to use your own OpenAI-compatible API endpoint instead of our default models.
This allows you to maintain full control over your data while still leveraging Beyond Presence’s avatar technology and agent management.Currently available through our API with dashboard support planned for future release.
See our custom LLM example for complete implementation including API configuration, optional cloud deployment scripts, and agent creation with custom model parameters.
Automated Call Processing
Automated Call Processing
Process conversation data through programmatic access or real-time events.
- Batch Processing: Retrieve transcripts using the List Calls endpoint for analytics and reporting integration.
- Real-time Processing: Configure webhooks in your settings to receive call events as they occur. See our webhook processor example for implementation.
When to Use This
Choose managed agents when you want:- Zero infrastructure: No servers, scaling, or maintenance
- Fastest deployment: From idea to production in minutes
- Built-in optimizations: Automatic performance tuning and updates
Next Steps
Speech-to-Video
Add avatar video streams to existing voice agents with full component control
n8n Workflows
No-code workflow automation for managing calls with agents
Dynamic Personalization Example
Create personalized agents with dynamic system prompts
Custom LLM Example
Use your own OpenAI-compatible LLM API for data sovereignty
Webhook Processor Example
Process call events and transcripts in real-time