Feb 24
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Welcome to Day 362 of the 1000-days No-Code AI Challenge How to Evaluate Your AI Agents in OpenAI Agent Builder (Full Tutorial) In today’s video, we explore one of the most important — yet often overlooked — features of OpenAI Agent Builder: Evaluation. This allows you to test your agent’s accuracy, validate outputs, compare expected vs actual results, and debug complex workflows with full visibility. If you want reliable agents, this step is crucial. In this tutorial, you'll learn: ✔️ How to create evaluation datasets inside OpenAI Agent Builder ✔️ Uploading CSV data and setting up test cases for classification ✔️ Adding labels, ratings, and feedback fields for deeper analysis ✔️ Writing system + user prompts for evaluation tasks ✔️ Generating outputs and reviewing agent performance ✔️ Creating a grader to automatically check correctness ✔️ Understanding pass/fail scoring and refining prompts accordingly ✔️ How to trace your workflow with the Evaluate tab (workflow-level debugging) ✔️ Seeing each node’s input/output to understand failures or unexpected behavior ✔️ Practical tips to improve accuracy and stability of your agents By the end of this video, you’ll know exactly how to evaluate, test, and improve your OpenAI agents — just like we did earlier in the N8N series. Resource Links: 🔗 Try Agent Builder: https://platform.openai.com/agent-builder Community Webpage: https://abcd.ritz7.com/ Follow on Social Media: Instagram: https://www.instagram.com/ritz7talks?igsh=Nm1tcXJzYmt2cHRh LinkedIn: https://www.linkedin.com/in/ritztalks/ Twitter: https://x.com/RitzTalks/