Show HN: ClientCoded – QA Platform for AI Agents (clientcoded.com)

A new QA platform called ClientCoded has been announced, designed for validating AI agents across various synthetic environments, including popular applications like Salesforce, Jira, and Stripe. This platform creates a robust testing framework by generating a synthetic dataset featuring 200 adversarial queries along with the correct answers for each one. Users can simply describe their schema, and ClientCoded will automatically generate the necessary data and queries to test the AI agent's performance against predefined ground truth. This platform is significant for the AI/ML community as it streamlines the evaluation process of AI agents, providing detailed feedback through per-question transcripts, failure-type distributions, and conversation-quality scoring. The ability to simulate diverse environments with dedicated datasets allows for rigorous testing that can highlight flaws such as agents mismanaging status updates on overdue tickets. By offering this level of precision and adaptability, ClientCoded aims to enhance the reliability of AI interactions across various industry applications, ultimately driving the development of more effective and accountable AI systems.