Playground Overview

The Ravvio playground provides a safe, controlled environment to test and refine your AI agent before deploying it to your website, ensuring optimal performance and user experience. Interactive chat testing environment

Core Playground Capabilities

Real-Time Testing

Interactive chat interface for immediate agent response testing

Configuration Panel

Live editing capabilities for system prompts and agent settings

Session Management

Complete conversation history and session control features

Performance Monitoring

Response time tracking and quality assessment tools

Real-Time Chat Interface

Interactive chat testing environment

Interactive Testing Environment

Session Preservation

Conversation history and session management
1

Automatic Saving

All conversations automatically saved during testing sessions
2

Session Continuity

Resume testing exactly where you left off across browser sessions
3

History Access

Access complete testing history for analysis and comparison
4

Context Maintenance

Agent maintains conversation context throughout extended testing

Configuration Panel

Live System Prompt Editing

Live configuration editing panel

Real-Time Updates

Changes to system prompts take effect immediately in test conversations

Side-by-Side View

Edit prompts while simultaneously testing responses in chat interface

Version Control

Track changes and revert to previous configurations if needed

Preview Mode

Preview changes before applying them to test environment

Agent Settings Adjustment

Session Management

Session Controls

1

New Session Creation

Start fresh conversations to test different scenarios and user types
2

Session Loading

Resume previous testing sessions to continue refinement work
3

Session Comparison

Compare responses across different sessions and configurations
4

Session Export

Download complete session data for external analysis and reporting

Testing Session Types

Clean Session

Purpose: Test first-time user interactions Features: No conversation history, fresh agent context Use Cases: New visitor simulation, initial impression testing

Continuing Session

Purpose: Test returning user experiences Features: Preserved conversation context and history Use Cases: Follow-up interactions, complex query resolution

Session History Management

Performance Monitoring

Response Time Tracking

Real-Time Metrics

Measurements:
  • Individual message response times
  • Average response speed across sessions
  • Performance trends over time
  • Comparison with baseline performance

Performance Analysis

Insights:
  • Identify slow response patterns
  • Monitor performance impact of configuration changes
  • Track improvement over optimization cycles
  • Benchmark against industry standards

Quality Assessment Tools

Testing Environment Features

Simulation Capabilities

1

User Persona Testing

Test agent responses for different customer types and use cases
2

Scenario Simulation

Simulate common customer interaction scenarios and edge cases
3

Load Testing

Test agent performance under various conversation volumes
4

Integration Testing

Validate all features including lead capture and demo booking

Advanced Testing Tools

Multi-User Testing

Capabilities:
  • Simulate multiple concurrent user conversations
  • Test agent performance under load
  • Validate response consistency across users
  • Assess resource utilization and scalability

Edge Case Testing

Scenarios:
  • Test responses to off-topic or inappropriate questions
  • Validate error handling and graceful degradation
  • Test knowledge base limits and fallback responses
  • Assess security and privacy protection measures

Integration with Other Features

Knowledge Base Integration

Lead Capture Testing

1

Capture Flow Testing

Test lead capture functionality and user experience flow
2

Form Validation

Verify email capture forms work correctly and validate input
3

Integration Testing

Test demo booking integration with calendar systems
4

Data Storage

Confirm captured leads are properly stored and accessible

Testing Best Practices

Systematic Testing Approach

Test Planning

Preparation Steps:
  • Define testing objectives and success criteria
  • Create comprehensive test scenarios and user personas
  • Prepare test questions covering all use cases
  • Set up baseline metrics for comparison

Iterative Testing

Improvement Cycle:
  • Test current configuration thoroughly
  • Identify areas for improvement
  • Make incremental configuration changes
  • Retest to validate improvements

Quality Assurance Process

Troubleshooting and Debugging

Common Testing Issues

Performance Optimization

1

Identify Bottlenecks

Use performance monitoring to identify slow response areas
2

Optimize Configuration

Refine system prompts and settings based on testing results
3

Content Optimization

Improve knowledge base content organization and quality
4

Validate Improvements

Test optimizations thoroughly before production deployment
Testing Environment: The playground environment mirrors production functionality exactly, ensuring that testing results accurately predict live performance.
Regular Testing: Schedule regular testing sessions to maintain agent performance and identify opportunities for improvement as your business evolves.
Production Deployment: Always test configuration changes thoroughly in the playground before applying them to your live website integration.