Coval: AI Agent Testing and Evaluation Platform
Frequently Asked Questions about Coval
What is Coval?
Coval is an AI-powered platform for testing and evaluating conversational agents. It allows developers to simulate thousands of conversation scenarios from a few test cases by creating prompts, transcripts, or audio inputs. The platform supports voice and chat agents, offering customization of voices and environments for advanced testing. Users can evaluate their AI agents using various metrics like latency, accuracy, and tool-call effectiveness, or define custom metrics. Coval also enables organizations to monitor production calls, set alerts for performance issues, and analyze real-time data to optimize their agents. Built on a foundation of autonomous testing with a decade of research in self-driving technology, Coval provides seamless integration and intuitive workflows, helping developers ship reliable conversational AI faster.
Key Features:
- Scenario Simulation
- Performance Metrics
- Voice Support
- Production Monitoring
- Custom Metrics
- Alert System
- Workflow Analysis
Who should be using Coval?
AI Tools such as Coval is most suitable for AI Developers, QA Engineers, Product Managers, Data Scientists & Customer Support Engineers.
What type of AI Tool Coval is categorised as?
Awesome AI Tools categorised Coval under:
How can Coval AI Tool help me?
This AI tool is mainly made to ai agent testing. Also, Coval can handle simulate conversations, evaluate metrics, monitor calls, set performance alerts & analyze workflows for you.
What Coval can do for you:
- Simulate conversations
- Evaluate metrics
- Monitor calls
- Set performance alerts
- Analyze workflows
Common Use Cases for Coval
- Simulate conversations to test agent robustness
- Evaluate performance metrics for AI accuracy
- Monitor production AI call logs
- Detect regressions in AI behavior
- Optimize conversation flows and responses
How to Use Coval
Users create conversation scenarios, run simulations, and evaluate AI agents using Coval's platform. They can simulate dialogues, test with voice or text, and analyze performance metrics.
What Coval Replaces
Coval modernizes and automates traditional processes:
- Manual testing of chat and voice agents
- Basic performance evaluation methods
- Ad hoc bug fixing
- Limited environment testing
- Unstructured monitoring of AI performance
Additional FAQs
How does Coval simulate conversations?
Coval uses scenario prompts, transcripts, workflows, or audio inputs to mimic real interactions, allowing for comprehensive testing.
Can Coval monitor live production calls?
Yes, Coval logs production calls and evaluates live performance to ensure AI agents behave as expected.
What metrics can Coval evaluate?
It offers metrics like latency, accuracy, tool-call effectiveness, instruction compliance, and customizable metrics.
Is Coval compatible with voice agents?
Yes, Coval can call and test voice-enabled AI agents via audio inputs.
How easy is it to integrate Coval?
Coval is designed with developer-first workflows, providing seamless integration options.
Discover AI Tools by Tasks
Explore these AI capabilities that Coval excels at:
- ai agent testing
- simulate conversations
- evaluate metrics
- monitor calls
- set performance alerts
- analyze workflows
AI Tool Categories
Coval belongs to these specialized AI tool categories:
Getting Started with Coval
Ready to try Coval? This AI tool is designed to help you ai agent testing efficiently. Visit the official website to get started and explore all the features Coval has to offer.