Set up OpenEvidence for supplement research in 10 minutes

Configure this clinical AI search engine to find human evidence for or against a supplement.

10 minutes start to finish
OpenEvidence setup — Set up OpenEvidence for supplement research in 10 minutes

You need to check the evidence for a supplement, but PubMed is noisy and general search is full of affiliate marketing. This setup configures OpenEvidence to find human trial data for a specific compound, fast.

Before you start

  • An OpenEvidence account
  • The name of a supplement to research
  • 10 quiet minutes

The steps

  1. 01

    Start a new question

    From the dashboard, start a new question. Use the PICO (Population, Intervention, Comparison, Outcome) framework to structure your query. For example: "In adult women [Population], does creatine monohydrate [Intervention] compared to placebo [Comparison] improve cognitive function [Outcome]?"

  2. 02

    Synthesize the evidence

    OpenEvidence will return a direct answer and a list of sources. Use the "Synthesize" button to generate a summary of findings from the top papers. This gives you a quick overview of the consensus, if any.

  3. 03

    Filter for human trials

    In the left-hand sidebar, find the "Study Type" filter. Select "Human" to exclude animal or in-vitro studies. This is the most important step for finding relevant data for personal health or client protocols.

  4. 04

    Review the Ledger

    Examine the "Ledger" view. This table extracts key data points like population, dosage, and outcomes from each study. Use this to create the Research layer of your 3-Layer Method, noting the exact dosages and effects reported in the literature.

  5. 05

    Export for your notes

    Use the export function to save the synthesis and list of sources. For practitioners, this provides quote-grade answers for client conversations and case notes. For individuals, it creates a clean record of the evidence you based your decision on.

Honest note

OpenEvidence is a powerful tool for reviewing published literature, but it cannot access unpublished data or account for individual biology. The evidence it finds is a starting point, not a replacement for clinical advice from a professional who knows your health history.

Want the whole stack, not just one tool?

The free 10-Day Challenge wires these together. Or join the free 45-min live workshop and watch me build it end-to-end.

Want the whole method, not just one tool?

The free 10-day email challenge installs Research → Ledger → Protocol on whatever data you already collect.

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