Chatbot Testing vs LLM Evals: What’s the Difference?

Chatbot testing vs LLM evals: what each one tests, the 5 key differences, and a live test on a real support bot. 📢 TestMu AI Agent Testing simulates multi-turn conversations with your chat agents, scores them on quality metrics, and validates facts against your own API. Quick answer: LLM evals check if one answer is good. Chatbot testing checks if the customer got what they came for across the whole conversation. You can pass the first and fail the second. Key highlights: 🔹 Real chatbot failures: an invented policy, a $1 SUV, a bot that swore at a customer 🔹 5 differences: what you test, test input, what breaks, source of truth, when it runs 🔹 How to run LLM evals: golden dataset, grounding, LLM-as-a-judge, pass rates 🔹 What only conversation tests catch: memory loss, goal failure, multi-turn jailbreaks 🔹 Live demo: 129 test conversations, data validation, and a go-live verdict 🔹 Testing what AI agents do, not what they say, with Rook CLI 🚀 Book a demo of TestMu AI Agent Testing: [ADD DEMO LINK] 📘 Chat agent testing docs: https://www.testmuai.com/support/docs/chat-agent/ 🛠️ Rook CLI (14-day free trial): https://www.testmuai.com/rook-cli/ ▶️ Related: Chatbot Testing: Catch Wrong Answers Before Customers Do — https://www.youtube.com/watch?v=gy29fac4cmw Chapters: 00:00 The AI Support Bot That Invented a Policy 00:56 LLM Testing vs Chatbot Testing Explained 02:00 5 Key Differences: LLM Evals vs Chatbot Testing 03:22 How to Run LLM Evals: Golden Dataset 03:53 What Makes a Good LLM Answer 04:08 LLM-as-a-Judge Scoring 04:28 Report Pass Rates, Not Pass/Fail 04:44 Re-Run Evals on Every Change 04:58 What Only Conversation Testing Catches 06:07 Multi-Turn Attacks: $1 SUV & Crescendo 06:33 When Chatbots Break After Updates 06:56 Live Demo: TestMu AI Agent Testing 08:48 Testing What AI Agents Do: Rook CLI 09:28 Which Tests Do You Need? #ChatbotTesting #LLMEvals #AITesting #LLM #TestMuAI