Research system
EverPrime is built on structured supplement evidence, not vibe-based stack advice.
The app's scoring engine combines ingredient evidence, timing rules, interaction data, and product-quality signals so supplement decisions can be evaluated with more context than a label or influencer protocol provides.
263
Canonical ingredients
11,305
Research findings
5,034
Evidence records
1,083
Timing evidence rows
2,878
Evidence consensus records
42
Interaction rules tracked
What the database is designed to prevent
- Turning one positive study into a broad recommendation.
- Ignoring medication, mineral, or meal-timing conflicts.
- Scoring all supplement forms as if they are interchangeable.
- Confusing a high label dose with a useful absorbed dose.
- Giving high confidence where the evidence is still limited.
Evidence strength
Findings are grouped into consensus records so a single abstract does not become a recommendation by itself.
Execution context
Timing, food pairing, cycling, tolerability, and lab-monitoring notes are stored separately from benefit claims.
Safety and interactions
Supplement-medication and supplement-supplement conflicts are modeled as execution constraints, not afterthoughts.
Product quality
Forms, brand signals, and label-level details are treated as practical variables that can change the usefulness of a stack.
Read the public examples
These statements have not been evaluated by the FDA. Not intended to diagnose, treat, cure, or prevent any disease. Generated with AI assistance. Always verify with a healthcare professional. Educational information only. Not a substitute for professional medical advice.