Can You Trust Your ChatBot: Techniques for Testing LLM Responses | TestMu 2026
Like everyone and their mother, you now have a chatbot on your site. But can you trust it to give the right answers? Not insult the users? Not give them ingredients for a homemade exploding salad?
Testing something that gives you a whole lot of text, and never the same way twice. That's tough. But not impossible.
The never - What you never, ever want to see
The must - The beginning of a good answer
Golden Datasets - What good answers look like
Tone and bias detection - What proper answers look like
Scorecards - What the new "pass/fail" looks like
The AI Judge - Ask a smarter bot to settle the argument between you and your bot. What modern delegation looks like. Unfortunately.
All with live examples. If you're testing chatbots, AI agents, or just want to know if somebody's prompt will crash your system - this one's for you.
Yes, you can run a couple of examples and see if your chatbot behaves. But trust? That we need to build. So, let's make sure that bot doesn't get us on the news.
Because of indeterministic results, we need better testing.
New techniques for automation and CI.
We need to cover risks we're not used to dealing with (e.g. safety, security).

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