About Peptide Advisors
I built Peptide Advisors because most people researching a peptide for the first time are not looking for a dosing table or a calculator. They are looking for a simpler answer: what is this compound, what does it do, and how does it compare to the alternatives?
Meet the Researcher
/ Garret GrantFounder & Lead Researcher — Peptide Advisors, Peptide Dosing Protocols, and PepPal
B.S. Civil Engineering, UCLA (Class of 2022)
Peptide Advisors is the layer I wished existed when I started researching peptides myself: clear, structured explainers that answer foundational questions before anyone gets to dosing math.
My background combines engineering and software development. At UCLA, I trained in quantitative analysis, technical literature review, and systematic problem-solving. After graduating, I moved into software engineering, building web applications, designing databases, and developing the technical infrastructure behind Peptide Advisors and related research projects.
I designed and built Peptide Advisors from scratch: the standardized explainer format, the comparison framework, and the page templates. I personally research, write, fact-check, and review every page on the site.
I am not a doctor, pharmacist, or licensed medical professional. I do not provide medical advice. What I do is read primary research and translate that data into accessible explanations so readers can understand what a peptide actually is before they evaluate whether it is relevant to their research.
What Peptide Advisors Is
/ independent resourcePeptide Advisors is an independent peptide education resource. It is not affiliated with any peptide supplier, pharmaceutical company, or clinic. The site exists to answer the questions readers ask first when researching a peptide - what is this compound, how does it work, what does the evidence show, and how does it compare to similar peptides - in a consistent, citation-backed format.
Every page is built around the same standardized structure: plain-language definition, mechanism breakdown, evidence summary from clinical trials, regulatory status as of the last review date, and comparison context with similar compounds. The goal is to give readers the foundational understanding they need before evaluating any specific compound further.
By the Numbers
/ April 2026[N] peptide explainer pages - each following a standardized format covering definition, mechanism, evidence summary, comparisons, and regulatory status.
[N] comparison pages - head-to-head breakdowns of similar compounds.
[N] clinical trials reviewed and cited across all pages.
Every explainer page includes: plain-language definition, mechanism breakdown with one analogy and one technical sentence, evidence summary with primary trial data, comparison context, regulatory status as of the last review date, and a curated set of 6-10 FAQs.
Site designed and built from scratch - page architecture, comparison framework, and deployment infrastructure.
How I Research
/ source hierarchyNot all evidence is equal. When you see an efficacy claim, side effect percentage, or mechanism description on this site, it comes from Tier 1 or Tier 2 unless explicitly stated otherwise.
Tier 1
SourcePublished Phase 2/3 results from NEJM, The Lancet, Nature Medicine, JAMA, and comparable journals.
UsePrimary source for efficacy claims, side effect incidence rates, and trial population data.
VerifySearch the trial name or NCT ID on PubMed or ClinicalTrials.gov.
Tier 2
SourcePubMed/PMC meta-analyses and peer-reviewed review articles.
UseUsed to contextualize individual trial results and explain mechanisms supported by multiple studies.
VerifySearch the DOI or article title on PubMed.
Tier 3
SourceFDA filings, press releases, investor presentations, and ClinicalTrials.gov registry entries.
UseUsed for regulatory status, pipeline timelines, and developer-reported mechanism descriptions.
VerifyCheck FDA.gov, SEC filings, or the manufacturer's clinical trial page.
Tier 4
SourcePractitioner reports, published case series, and established community usage patterns.
UseUsed only when clinical trial data does not exist for a specific compound, and always labeled as community-derived.
VerifyLook for the explicit community-derived or not-from-clinical-trials label in the page copy.
Research Pipeline
/ per explainerLiterature search across PubMed, ClinicalTrials.gov, and major medical journals, with full papers reviewed rather than abstracts alone.
Definition and classification before effect claims: peptide class, structure, and mechanism category come first.
Mechanism translation with one plain-language sentence and one technical sentence for every major pathway or receptor interaction.
Evidence summary that extracts the primary endpoint, exact metric, trial size, publication venue, and comparison context.
Comparison framing across receptor target, half-life, FDA status, and trial outcomes when similar compounds are relevant.
AI-assisted drafting from structured research notes after the source review is complete.
Human review and fact-checking against primary sources before publication.
Ongoing maintenance when new trial data publishes, regulatory status changes, or FDA category lists update.
How AI Fits In
The pipeline for every page is simple: I do the research, compile structured notes with citations, use AI to draft from those notes, verify every claim, edit for accuracy and tone, then publish.
What This Site Does Not Do
/ boundaries