The system scans new product reviews with AI and alerts your team in Slack when one looks fake.
It branches. Exactly one path is taken; runs once per each new review.
Pattern: Exclusive Choice (4) · Multiple Instances with a priori Design-Time Knowledge (13)
Fake reviews can slip past you and quietly damage trust in your product or marketplace. Manually reading through every review to spot manipulation is not realistic once volume grows.
E-commerce marketplaces and sellers who rely on customer reviews.
Suspicious reviews get flagged to your team so you can catch fakes before they influence a customer's purchase decision.
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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