~15s
Step 01
Pick goal
One primary goal. Sharp focus. Everything downstream tunes to this.
Enter your stats once — get a complete personalized performance dashboard. Body fat %, TDEE, macro targets, heart rate zones, projected timeline to goal. Every calculation by primary scientific formula. No subscription, no sign-up.
Other apps take hours of forms. The Lab takes four screens. Pick your goal, set baseline, scan your stack, connect your health data. Done. Everything else enriches over time — without ever stopping you from using the product.
One primary goal. Sharp focus. Everything downstream tunes to this.
Three fields. Population norms fill the rest until you override. Smart defaults.
Photo your supplements. Agent parses labels, doses, ingredients. Or skip.
One tap. Sleep, HRV, training, biomarkers — all pulled. Or skip.
A live preview of what's coming. Full health intake, autonomous agents monitoring your data, primary-source-backed insights. Like a research-trained coach + functional medicine doctor + investigative journalist working from a citations database.
Brand name, generic name, peptide, prescription, hormone, research compound — agents parse it, surface every active ingredient, plot the dose-response curve, cross-reference your existing stack, and cite the primary research.
A specialized search engine pre-filtered to performance content. PubMed studies, Cochrane reviews, expert interviews, coach protocols, supplement case files — every result tier-classified. Returns protocols, not just papers.
Evidence-based hierarchy for natural lifters · adherence > volume > frequency > intensity > exercise selection. Volume landmarks per muscle group with citations to MASS Research Review.
Helms, Morgan, Valdez · 2nd ed · cited 240+ in literature
No difference between 2x and 3x per week when volume-equated. Frequency matters less than total weekly sets per muscle group. n=458 trained subjects across studies.
Schoenfeld, Grgic, Krieger · Sports Med 2018
Block periodization vs DUP vs linear · proximity to failure · RPE auto-regulation · why most lifters undershoot effective volume. 78-min transcript indexed.
Biolayne · 2024 · PhD nutritional sciences
47 RCTs · 9 meta-analyses · effect size 0.39 on strength · 1.5kg lean mass over 8wks vs placebo. Mechanism, dosing protocols, loading vs maintenance, cognitive effects.
Performance Lab Case File · PL-003 · 56 primary sources
Practical interpretation of recent volume-hypertrophy research. Why "more volume = more growth" plateaus, with dose-response curves and recovery-capacity ceilings.
Helms, Nuckols, Morton, Krieger · 2024
Proximity to failure (RIR 0–3) vs volume-equated protocols. RIR 1–3 produced equivalent hypertrophy with 47% less perceived fatigue and better recovery markers.
Vieira et al · J Strength Cond Res · 2024 · n=42
Population norms get you 70% there. The Lab takes you the rest of the way — by reading YOUR response to YOUR stack and adjusting. Phenotype-aware. Self-correcting. N=1 protocols.
Your data — sleep response, HRV pattern, lift progression, biomarker drift — clusters you into a phenotype. Standard recommendations bend toward what works for your profile, not the population mean.
Literature defaults are starting points. When your strength curve, HRV trend, or biomarkers show a different signal, agents override the default and recommend a personalized adjustment — and tell you why.
When the data is ambiguous, agents design a 4-6 week A/B protocol for you — one variable at a time. Track effect. Cite verdict. You stop guessing and start knowing what works for you specifically.
Nothing else covers all of it. Supplements, peptides, prescriptions, training, nutrition, recovery, sleep, biomarkers, cognitive, longevity, conditions — every domain, every protocol, every primary source. One platform.
No supplement gets recommended without an evidence tier. No tier gets assigned without primary research. You always see WHAT the evidence is before deciding.
1967: the Sugar Research Foundation paid Harvard scientists to blame fat instead of sugar for heart disease. Declassified in 2016. 49 years of misinformation.
The Seven Countries Study omitted nations whose data didn't fit. Re-analyses available in primary literature since 2007. The diet pyramid was built on selection bias.
The most-studied legal supplement. 47 RCTs, 9 meta-analyses since 1992. What gym lore claims vs what the studies actually show. Effect sizes honestly.
Declassified post-1991. Actual training protocols, periodization schemes, and primary documents from Eastern Bloc sports science. Most of it was never translated.
Schoenfeld's meta-analyses. The 0.8 vs 2.2 g/kg debate. The 30g-per-meal myth. What 30 years of nitrogen balance and DEXA studies actually show.
Founder access opens Q3 2026. Founder members lock pricing for life.