Why this exists.

In the supplement aisle, marketing usually runs ahead of the evidence. A product “supports cellular health” or “activates longevity pathways,” and you are left with no way to tell whether that language maps to a real health benefit. Often it does not.

Supplement Peer applies the systematic review used in pharmaceutical development to consumer supplements. We check whether human trials show real health outcomes rather than lab markers, verify certifications against registries instead of trusting the label, screen for drug and supplement interactions, and work out the true cost per effective dose. The point is narrow and useful: to show what decides whether a product is worth your money and safe to take.

Created by a PhD in Medicinal Chemistry and Chemical Biology with a drug-discovery background. The pipeline encodes the review practice used to vet drug candidates, applied to the supplement shelf. This is credibility about the method, not medical authority: a verdict is only as good as the evidence it cites, and every source is shown.

Ask any chatbot about a supplement and you get a fluent, confident answer. That is the problem. A model sounds just as fluent when it is wrong, and if you do not know which questions to ask, which sources to demand, or how to weigh the reply, you get a persuasive response that agrees with whatever you hoped to hear. That is not research; it is confirmation bias with better grammar.

The value is not the model; it is the instructions the model follows. The pipeline fixes each step in advance: what to check, where to look, which sources to trust, which claims to challenge, and in what order. The model runs the steps; the method decides them.