Runs scheduled quality checks on your AI responses and sends a Slack alert the moment quality drops.
It branches. Exactly one path is taken; runs once per each test question.
Pattern: Exclusive Choice (4) · Multiple Instances with a priori Run-Time Knowledge (14)
Your AI-powered tools can quietly start giving worse answers after a model update or a shift in what customers ask, and nobody notices until a customer complains. You need a way to catch that drop before it reaches the people you're trying to serve.
Businesses running customer-facing AI tools who want to know about quality problems before their customers do.
Your AI tool gets checked daily against known-good questions, with an alert the moment answer quality slips.
The hard question is not how to build it. It is whether this is the right thing to build first.
That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.
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