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How AI Personalizes Supplement Recommendations

Unfair Team • January 23, 2026

AI can turn your goals and response history into supplement recommendations that are specific enough to use each day.

Why it matters

A useful recommendation engine does more than rank popular products. It weighs your goal, dose tolerance, stimulant sensitivity, schedule, and prior response so each suggestion has a reason. The result is fewer random trials and faster movement toward a stack that fits your life.

How to apply it

Start with one target outcome and one timeline, then review recommendation rationale before you take anything. Change one variable at a time so you can attribute wins and side effects correctly. Keep a short note on energy, focus, sleep, and recovery after each dose window.

In Unfair

In Unfair, recommendations tie each suggestion to context tags and expected outcomes, then connect directly to dose logging. That closes the loop between suggestion and response so the next recommendation can improve instead of repeating the same guess.

Continue with The Role of AI in Supplement Recommendations, Evaluating AI Supplement Recommendations, AI-Assisted Dose Logging Workflows.