Coval: Streamline AI Testing for Reliable Conversational Agents

Frequently Asked Questions about Coval

What is Coval?

Coval is an AI platform designed to test and improve conversation-based AI systems. It helps developers see how their chat and voice agents work in different scenarios. Users can create thousands of conversation simulations using text prompts, transcripts, workflows, or audio inputs. The platform supports both voice and chat agents, and allows users to customize voices and testing environments for more detailed results. Coval measures important performance factors such as latency, accuracy, tool-call success, and how well the AI follows instructions. Users can also define their own custom metrics. One key feature is live monitoring, where Coval logs ongoing calls in production to check if the AI is performing well. It also enables setting alerts for performance issues so teams can respond quickly. Coval’s workflows are built to be easy for developers to use and integrate. They can seamlessly connect Coval with existing systems, run automated tests, and analyze workflow effectiveness. Coval is based on years of research in autonomous systems, making it a reliable choice for businesses that want to ensure their AI agents act as expected. The platform supports a variety of use cases, including simulating conversations to test robustness, evaluating key performance metrics, monitoring actual call logs, identifying regressions in AI behavior, and optimizing conversation flow. This helps companies release more reliable AI faster. The platform is ideal for AI developers, QA teams, product managers, data scientists, and customer support engineers involved in conversational AI projects. Pricing details are available on Coval’s website, but the platform provides strong value by replacing manual testing, reducing bugs, and improving AI quality. With a user-friendly interface and comprehensive testing tools, Coval makes it easier to roll out improved voice and chat AI systems that users trust and enjoy. The main benefit is helping teams deliver better AI conversations, faster, with less effort and more confidence.

Key Features:

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?

What AI Can Do Today 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:

Common Use Cases for Coval

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:

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.

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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.