Upload your bloodwork, genetics, and wearable data. Refract's AI cross-references all of it — then builds you a precise, personalized plan for your supplements, diet, and training. Not generic advice. Your biology. Your plan.
The AI reads your data across every layer, then builds specific, ranked, actionable output for four things: what to take, what to eat, how to train, and what to track next.
Not "consider magnesium." Your specific supplements, exact doses, optimal forms, optimal timing, and which of your current supplements are interfering with each other — or are the wrong form for your genetics.
Specific dietary changes based on your labs, genetics, and wearable patterns — not generic macros. Your APOE genotype changes how saturated fat affects your LDL. Your MTNR1B variant changes what time you should stop eating.
Your training load cross-referenced with your labs, HRV trends, and genetics. Are you recovering? Is your zone 2 distribution right? Are your recovery modalities helping or actively working against your goals?
Sequenced interventions with specific retesting milestones. What to change first, what to add at month two, what to retest at month three, and what success looks like in the numbers.
Medications, supplements with timing, recovery therapies, training load. This is what makes your labs interpretable. Takes 15–20 minutes.
Lab PDFs from any lab, 23andMe raw file, Apple Health export, Whoop/Oura/Garmin data, CGM export, Withings or smart scale CSV, Cronometer or MyFitnessPal nutrition export. Any combination — more layers means higher confidence output.
Every marker is checked against every other relevant marker, your genetics, your context, your therapy history, and your wearable trends. Confounders are flagged automatically.
Supplement protocol, dietary adjustments, training optimizations, and a six-month roadmap — all specific to your biology, not population averages.
Quarterly uploads track your markers over time. See which interventions are working in the numbers. The plan updates as your data does.
The more data layers you provide, the higher the confidence score and the more specific the plan. Start with labs — add layers over time.
Any PDF lab report from any lab. Standard panels or advanced markers — all parsed and interpreted against optimal ranges, not just reference ranges.
23andMe or AncestryDNA raw data file. 192+ clinically relevant variants analyzed — MTHFR, APOE, DIO2, COMT, FKBP5, ACTN3, and many more.
HRV trends, sleep staging, training load, heart rate zones, recovery scores. All major platforms supported with device-specific interpretation rules.
Continuous glucose monitor exports. Overnight patterns, postprandial spikes, reactive hypoglycemia — correlated with your genetics, sleep, and meal timing.
Smart scale exports tracking weight, body fat %, muscle mass, visceral fat, and bone density over time. Longitudinal trends cross-referenced with labs, training load, and nutrition — because a number on a scale means nothing without context.
Detailed dietary logs cross-referenced against your labs and genetics. Not generic macros — your actual micronutrient intake mapped against your deficiencies. Why is your ferritin low when you eat red meat? Why is your B12 borderline when you supplement? The answer is usually in the food log.
Specific. Layered. Direct. No hedging. No generic advice. This is what your plan looks like.
Your Lp(a) is 94 nmol/L — above the threshold where cardiovascular risk is independently elevated regardless of other lipid values. Your standard cholesterol panel looks unremarkable. This is exactly why Lp(a) is commonly missed. Simultaneously, your homocysteine at 13.2 μmol/L is elevated, and these two markers compound each other's risk. Your MTHFR compound heterozygous status is the driver — your methylation cycle is impaired and it's showing in the labs. Homocysteine is modifiable with the right B vitamin forms. The Lp(a) is largely genetic and requires a direct cardiology conversation.
You are taking a B-complex containing 400mcg folic acid. With your MTHFR C677T compound heterozygous genotype, folic acid does not convert properly and actively blocks the methylfolate receptor — making your methylation problem worse, not better. Switch to 5-MTHF (methylfolate) 400mcg immediately. Your B-complex also contains cyanocobalamin — switch to methylcobalamin 1000mcg sublingual. These are not subtle upgrades. They are the correct forms for your specific genetics.
Your TSH is 1.8 mIU/L — your doctor flagged nothing. But your Free T3 is 2.6 pg/mL and your DIO2 Thr92Ala genotype is TT homozygous — meaning T4 to T3 conversion is impaired in brain and peripheral tissue. Your thyroid is producing hormone. The conversion is failing. Standard thyroid testing is designed to miss exactly this. Selenium (you are getting none in your current stack) is a required cofactor for this conversion. Your ferritin at 31 is also limiting thyroid peroxidase activity. Both are addressable before any medication conversation.
Your intake shows cold water immersion within 30–60 minutes post-lifting, 4 days per week. Immediate post-resistance cold immersion blunts the mTOR and satellite cell signaling required for hypertrophy — this is well-established. The anti-inflammatory response you're trying to accelerate is the same response that drives muscle adaptation. Move cold immersion to off days, or minimum 4–6 hours after strength sessions. This change costs nothing and directly addresses a likely contributor to stalled strength progress.
Your MTNR1B G allele impairs nighttime insulin secretion. Your CGM shows overnight glucose consistently at 95–102 mg/dL. Your last meal averages 9:40pm. These three data points form a complete picture: late eating is causing a glucose spike during high melatonin, suppressing insulin secretion, and the elevated overnight glucose is showing up as reduced deep sleep (average 44 min on high-glucose nights vs. 71 min on low-glucose nights in your Whoop data). Moving your last meal to 7:00pm is a single change that addresses all three simultaneously.
Start with a single analysis. Add data layers as you collect them. Upgrade to monitoring when you're ready to track change over time.
Labs + genetics + wearables + body composition + nutrition. Full cross-reference. This is the analysis that changes how you understand your body.
Quarterly re-analysis. See what's changed, what your interventions did to the numbers, and what to do next.
No genetics or wearables yet. Start with your bloodwork — the most direct window into what's actually happening.
Early Access
Tell me what data you have. I'll be in touch within 24 hours to walk you through what your report would look like and get you started.
No spam. No sharing. Limited spots. $397 one-time, locked in for early access members.