Runs test emails through your AI classifier, checks the results against expected answers, and scores accuracy.
A straight line. Runs once per each test email.
Pattern: Sequence (1) ยท Multiple Instances with a priori Run-Time Knowledge (14)
You've built an AI system to sort incoming emails by priority, but you don't actually know how well it performs. Checking its accuracy by hand every time you make a change is slow and easy to skip, so mistakes go unnoticed.
A business or team that relies on an AI tool to triage or classify incoming email and wants to keep it accurate.
Your email classifier gets tested against known answers regularly, so you always know exactly how accurate it really is.
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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