How we grade evidence
The peptide space is full of confident claims with nothing behind them. We do the opposite: every claim in DoseCraft is sorted into one of three lanes by the strength of its evidence — and we publish exactly how we decide.
Words of source corpus
Evidence lanes
Compounds graded
The corpus is the body of clinical literature, practitioner protocols, and structured community reports our library is built on. It is the raw material — the lanes are how we grade it.
The three lanes
Strongest evidence on the left. Most uncertainty on the right. The lane is always visible, so you never have to guess how solid a claim is.
Clinical
Evidence from human clinical trials, peer-reviewed studies, or regulatory review. This is the highest bar — a claim earns the Clinical lane only when there is published human data behind the specific use, dose range, or endpoint.
What earns this lane
- Randomized or controlled human trials
- Peer-reviewed pharmacokinetic / safety data
- Regulatory-reviewed indications and label data
Animal-only data, anecdote, and extrapolation from a related compound do not qualify for this lane.
Expert
Evidence from practitioner protocols and clinician consensus where formal human trials are thin or absent, but credentialed experts converge on a dosing or safety pattern. Useful, but explicitly weaker than Clinical.
What earns this lane
- Documented practitioner / clinic protocols
- Convergent dosing patterns across credentialed sources
- Mechanistic reasoning backed by adjacent human data
Single-source opinion, influencer claims, and vendor marketing do not qualify — convergence and credentials are required.
Experimental
Evidence from preclinical work, mechanistic theory, and structured community reports. This lane is where the hype lives — labelled honestly so you can see it is early, unproven, and carries the most uncertainty.
What earns this lane
- Preclinical (animal / in-vitro) findings
- Mechanistic hypotheses awaiting human data
- Aggregated, structured self-report
Nothing here should be read as established. An Experimental label is a caution, not an endorsement.
Why a two-layer system
DoseCraft ingests the literature with an unfiltered layer so nothing gets quietly dropped, then serves it through a governed assistant that refuses to launder Experimental claims as Clinical fact. The grading lane travels with the claim from ingestion all the way to your screen.
The result is a library you can audit: when DoseCraft tells you a dose range, it also tells you whether that range comes from a human trial, a practitioner protocol, or an early signal — and links you to where it came from.
Not medical advice — educational only. DoseCraft is an information and personal tracking platform. Evidence grading describes the strength of available data; it is not a recommendation to use any compound. Always consult a licensed healthcare professional before starting any protocol.