Fitness plans that actually adapt.
An AI personal trainer and workout planner that rebuilds your training and nutrition around real life. Backed by real sports science.
Kinesiologist-designed · backed by CSEP and NASM
The week, rewritten
One signal in. A coached week back.
A short night, a sore knee, a missed session. Tell the coach what changed and it redistributes load against your weekly target, then hands you back a plan you can actually train against.
Built on NASM's Optimum Performance Training model
AI guardrails built on kinesiology frameworks for safe, evidence-based recommendations
Live on the App Store for iPhone
Six things the plan does on its own
Plans from your intake
Answer a short intake and get a training and nutrition plan shaped around your goals and real schedule.
Low-friction logging
Log meals with a photo, barcode scan, or quick search. Track workouts with minimal tapping. The less friction, the more the plan has to work with.
Rebalancing on request
Miss a workout or have a rough night, tell the coach, and it proposes changes to your week so the load still makes sense.
Progress without the noise
It tracks weight, strength, and the sessions you finish over time, and surfaces the trends that actually matter.
Safety built in
Built on NASM's Optimum Performance Training model, with safety checks that screen every plan against your injuries and limits.
Adapts around injuries
Flag an injury or limitation in a quick assessment and the plan routes around it, swapping exercises and adjusting volume and intensity.
Assess, adjust, repeat
A continuous cycle of assessment and adjustment. What you log and tell the coach changes what it asks of you next.
Assessment
Your intake maps your baseline from your goals, history, and limits.
Calibration
It learns your schedule and what you actually finish, so every week holds together.
Adaptation
Tell the coach what changed and it proposes a plan that fits the new week.
Optimization
Each block feeds back in, so the next one fits better.
How the science reaches your plan
Adptiv doesn't guess. Every plan is grounded in a library curated mainly by our kinesiologist co-founder, built from peer-reviewed research and gold-standard guidelines, and written to cover the edge cases real training throws at you.
1 · Building the knowledge base
Kinesiologist-led
The library is curated mainly by our kinesiologist co-founder, so real coaching judgment shapes what goes in.
Peer-reviewed only
Sources are grounded in peer-reviewed research and gold-standard guidelines, never blog posts or hearsay.
Every edge case
Injuries, deloads, travel, and plateaus are covered on purpose, not left for the model to improvise.
Cited and searchable
Each passage is stored with its citation in Supabase, ready to ground your plan.
2 · Grounding every answer
“Build me a knee-friendly hypertrophy week.”
Vector + keyword search finds the most relevant passages.
The AI builds your plan on that evidence, not generic guesswork.
Your plan is built on this evidence, not the model's guesswork.