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Entity intake — medications, supplements, and what touches the system — article cover

Entity intake — medications, supplements, and what touches the system

Entities are external inputs that change state. Capturing them cleanly prevents false confidence in downstream recommendations.

Explainer

Framework note

An Entity is any structured input that changes state: conditions, prescriptions, supplements, peptides, and other categories the system knows how to respect. If the model cannot see it, it cannot honor timing, overlap, or risk.

Explanation

Entities sit beside Baseline and Body Signals as hard constraints. They are not a moral ledger; they are load and interaction geometry. The app’s flows exist so “what you actually take” matches “what the system assumes,” before pathways or protocols tighten.

Importance

Incomplete entity data is one of the fastest ways to get confident wrong answers. The reasoning layer will interpolate around holes you left—and you will not see the interpolation, only the headline.

Connections

Keeping entities current is what makes downstream logic trustworthy. Join the waitlist to use Re:Formd when it launches.

Misconceptions

Reframe: Omitting a compound is not privacy—it is silent confounding. The failure mode looks like “the app doesn’t get me” when the gap is missing inventory.

Continue in the system

Baseline is the dominant entry. The book supports belief; the waitlist is for launch updates only.

Join the waitlist for launch updates only