Testing AI agents before users do

Site: [https://test.qlankr.com] A lot of AI testing still feels too dependent on gut feeling. You run an agent, chatbot, or RAG workflow, tweak a prompt, change a tool, try again and then ask yourself: Did this actually get better, or does it just feel different? That was the starting point for QLANKR Test. I built it because I wanted a faster and more structured way to test AI systems before users do. The problem A lot of builders are shipping: AI agents chatbots RAG systems tool-calling workflows But the evaluation loop is often messy. It is easy to demo something. It is harder to inspect quality clearly, compare runs over time, and understand where a system breaks down. What QLANKR Test does QLANKR Test lets you run an evaluation and get: a structured report a QI score clearer signals on what feels weak, inconsistent, or unreliable The goal is not to replace human judgment. The goal is to make AI evaluation more structured, repeatable, and easier to inspect. What I wanted to improve