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Evaluating AI Supplement Recommendations

Unfair Team • January 13, 2026

You should evaluate AI supplement recommendations the same way you evaluate any protocol claim with data and risk controls.

Why it matters

Good evaluation starts with source quality, dose realism, and outcome relevance to your goal. A recommendation that looks smart but ignores your stimulant threshold or medication context is not fit for use. Explainability is mandatory because black box advice cannot be audited.

How to apply it

Run a short controlled trial with fixed logging and fixed review dates. Compare expected outcomes against observed outcomes and record side effects with timing. Keep or discard recommendations based on measured signal, not novelty.

In Unfair

Unfair gives you recommendation rationale, dose history, and response notes in one place, which makes this evaluation cycle quick enough to repeat.

Continue with The Role of AI in Supplement Recommendations, How AI Personalizes Supplement Recommendations, Evidence-First Supplement Prioritization.