The recording of Webinar III in the AI Quality series is up! In our previous sessions, we focused on the basics of AI testing. We learned how to paddle the “AI Kayak” in the safe harbor of development. But eventually,… Continue Reading…

Who doesn’t like asserts? We have a habit of confusing “simple” with “easy.” In traditional automation, defining quality was simple. It was binary. Assert.AreEqual(expected, actual). It either matched, or it didn’t. Green or Red. But with AI, “Good” isn’t binary.… Continue Reading…

So, you did it. You built a fantastic “AI Testing Kayak.” You followed the AI Quality Funnel. You have developer tests, sanity checks, and a “Golden Dataset” that defines “good” responses. You even have an “Automated Scorecard” that runs in… Continue Reading…

Most people think of testing an AI feature like testing a chatbot – you assess the quality of a single response. But in our real-world systems, it’s almost never a single response. We build chains of calls. The response from… Continue Reading…

Last week, I published our new strategic model: Are You Building an “AI Testing Kayak” or an “AI Testing Ship”? That post explained the “why.” It defines the “Kayak” as the collection of fast, practical tactics for the practitioner in… Continue Reading…

If AI is so smart, why can’t it tell me how much I can trust its answers? Well, maybe it can… We talked about creating “Golden Datasets” – benchmarks that help us evaluate an answer from an AI model. (If… Continue Reading…

Ahoy, mateys! In our last webinar (recording is coming soon), “AI Testing: Beyond the Basics” we did something amazing: we built a functional “AI Testing Kayak.” We created a frameworkf for testing AI products, that’s fast, practical, and, most importantly,… Continue Reading…

Let’s talk about AI responses. You ask your genie a question, you get an answer. But is it a good answer? How do we evaluate a response that isn’t deterministic, isn’t repeatable, and might have some nuance? LLM answers are… Continue Reading…

Let’s talk about that test. The one that’s always flaky. The one that takes twenty minutes to run and fails for a different reason every time. Your first instinct is to blame the test. Maybe the locator is wrong, maybe… Continue Reading…

Let’s talk about the new math of the AI revolution. The promise is simple and seductive: your developers can now deliver five times faster. Your CEO loves it. Your product managers are ecstatic. The whole company is high on the… Continue Reading…