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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

User Interface Elements:
  • Clean, intuitive chat interface matching production appearance
  • Message history preservation throughout testing sessions
  • Real-time message delivery and response display
  • Typing indicators showing agent processing status
  • Timestamp information for all messages
Functionality:
  • Immediate agent response to test messages
  • Conversation flow identical to production environment
  • Support for all agent features including lead capture
  • Mobile-responsive design for cross-device testing
Conversation Controls:
  • Send text messages to test agent responses
  • View complete conversation history in chronological order
  • Clear individual messages or entire conversation threads
  • Export conversation logs for analysis and documentation
  • Search within conversation history for specific topics
Testing Tools:
  • Copy agent responses for analysis and documentation
  • Flag responses that need improvement or refinement
  • Rate response quality for optimization tracking
  • Add notes and comments for team collaboration

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

Real-Time Adjustments:
  • Modify agent personality traits during testing
  • Adjust communication tone and style preferences
  • Update response length and detail level settings
  • Change expertise focus areas and specializations
Immediate Testing:
  • Test personality changes with the same question
  • Compare responses before and after modifications
  • Evaluate consistency across different conversation topics
  • Assess user experience impact of personality adjustments
Advanced Settings:
  • Response timing and speed preferences
  • Conversation flow and transition management
  • Lead capture timing and approach strategies
  • Escalation triggers and human handoff conditions
Testing Scenarios:
  • Simulate different user interaction patterns
  • Test edge cases and unusual conversation flows
  • Validate escalation procedures and triggers
  • Assess performance under various conversation loads

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

Session Categories:
  • Recent testing sessions with timestamps
  • Favorited sessions for important test scenarios
  • Archived sessions for long-term reference
  • Shared sessions for team collaboration
Search and Filter:
  • Find sessions by date, configuration, or content
  • Filter by response quality or specific topics
  • Sort by relevance, recency, or performance metrics
  • Tag sessions for easy categorization and retrieval
Export Formats:
  • JSON format for technical analysis
  • CSV format for spreadsheet analysis
  • Text format for readability and documentation
  • PDF format for presentation and reporting
Export Content:
  • Complete conversation transcripts
  • Agent configuration details
  • Response timing and performance data
  • Quality ratings and improvement notes

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

Evaluation Criteria:
  • Accuracy of information provided
  • Relevance to user questions and context
  • Consistency with agent personality and brand voice
  • Helpfulness and user satisfaction potential
Rating System:
  • 5-star rating system for response quality
  • Detailed feedback categories for improvement areas
  • Comparative analysis across different configurations
  • Progress tracking for optimization initiatives
Performance Insights:
  • Success rate for different question types
  • User engagement metrics and conversation length
  • Knowledge base utilization and content effectiveness
  • Conversion potential and lead generation capability
Improvement Recommendations:
  • Automated suggestions based on testing patterns
  • Best practice recommendations for common scenarios
  • Optimization priorities based on performance data
  • A/B testing results and configuration comparisons

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

Validation Process:
  • Test agent’s ability to find and use uploaded content
  • Verify accuracy of information retrieval from knowledge base
  • Assess relevance of content suggestions and responses
  • Monitor knowledge base performance and indexing effectiveness
Content Optimization:
  • Identify gaps in knowledge base coverage
  • Test effectiveness of different document formats
  • Optimize content organization for better retrieval
  • Validate updates and changes to knowledge base content
Dynamic Testing:
  • Test agent responses immediately after uploading new documents
  • Validate content integration and availability
  • Assess impact of knowledge base changes on response quality
  • Monitor processing status during document uploads

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

Testing Categories:
  • Functional testing for all agent features
  • Performance testing for response speed and accuracy
  • Usability testing for user experience optimization
  • Security testing for data protection and privacy
Documentation:
  • Record all test scenarios and results
  • Document configuration changes and their impacts
  • Maintain testing logs for audit and analysis
  • Create improvement action plans based on results
Team Collaboration:
  • Share testing sessions with team members for feedback
  • Collaborate on configuration improvements
  • Validate changes against business objectives
  • Ensure alignment with brand voice and customer expectations

Troubleshooting and Debugging

Common Testing Issues

Potential Issues:
  • Inaccurate or irrelevant responses to user questions
  • Inconsistent personality or tone across conversations
  • Poor knowledge base content utilization
  • Slow response times or system delays
Debugging Steps:
  • Review system prompt configuration for clarity and completeness
  • Check knowledge base content quality and organization
  • Test with simpler questions to isolate issues
  • Monitor performance metrics during testing
Common Challenges:
  • Changes not taking effect in test environment
  • Conflicts between different configuration settings
  • Session management issues or lost conversation history
  • Integration problems with external systems
Resolution Process:
  • Refresh playground environment to apply changes
  • Review configuration for conflicts or contradictions
  • Clear browser cache and restart testing session
  • Contact support for persistent technical 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.