Get complete visibility into agent performance

Validate changes before deployment with real-time troubleshooting

Get complete visibility into the reasoning and sequence of actions taken by an AI agent. While building agents, make adjustments to prompts, personas, or workflows, then replay conversations to observe how these modifications affect agent performance.

Access comprehensive test run logs, LLM prompts, and decision pathways to verify every choice or diagnose unexpected behaviors—all within a unified interface. Eliminate guesswork and resolve issues with targeted precision.

Optimize performance across multiple channels

Scale testing by simulating real-world scenarios at scale

Evaluate your AI agent’s performance across multiple touchpoints—chat, voice, and WhatsApp—to understand the complete user experience. When an AI agent delivers incorrect or unexpected responses, Yellow.ai’s AI Copilot pinpoints exactly which part of the prompt or configuration caused it—whether it’s a technical error, a knowledge retrieval failure, or a hallucinated response, enabling users to resolve the errors before they reach customers.

Additionally, the copilot allows users to make changes to the AI agent while testing, and also enables them to build new agents if required.

Real-Time interactive agent debugging

Proactively improve conversations with real-time feedback

Examine workflow inputs, monitor triggered actions (such as ticket creation and order lookup), and understand how your AI agent navigates complex decisions. Analyze and question the AI copilot on what went wrong, and what improvements or changes you need in terms of its response. The AI agent intelligently offers suggestions based on the change and adjusts its response accordingly.