Supplement AI Blog
Research standards and supplement safety.
Articles on evidence quality, product quality, study bias, conflicts of interest, and why supplement safety deserves more scrutiny.
Research And Method
Evidence
How Supplement AI Evaluates Evidence
How research outcomes, similar populations, uncertainty, and current-regimen context become regimen upgrades.
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Research quality
How Supplement AI Generates Evidence Ratings
How paper-level research quality ratings are generated from methodological rigor and reliability.
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Product fit
How Supplement AI Selects Products for Optimizer Upgrades
How label fit, quality importance, suggested serving, profile filters, and value shape product choices.
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Product quality
Understanding SupplementAI Product Quality (Beta)
How product quality combines evidence, brand trust, and formulation integrity.
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Research quality
Risk of Bias in Dietary Supplementation Research
Why study design and hidden bias can change how much weight a result deserves.
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Research quality
Conflicts of Interest in Dietary Supplementation Research
How financial ties can shape interpretation and why disclosure matters.
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Safety
Supplements Kill
A blunt look at why supplement safety cannot be treated like an afterthought.
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