Aevia reads your wearable data, builds a real-time nutrition target, and scores every dish within delivery, pickup, dine-in, meal prep, and grocery range. One recommendation per meal window. Routed and ready to order.
Onboarding takes 60 seconds. Tell Aevia what you love and what you never want to see. Your nutrition targets are generated automatically from health platform data. No calorie math, no goal-setting.
The middle screen is what Aevia already knows about you before day one, extracted from your wearable history. Calorie burn patterns, protein timing gaps, training day spikes. The right screen is your nightly closeout.
What happens between opening the app and placing the order. Three steps, every meal window.
Marcus doesn't change. His biology does. Same preferences, same restaurants, same zip code. But Tuesday after a bad night's sleep and a heavy training session is a completely different body than Thursday after deep rest on a recovery day. Aevia sees the difference. Every meal shifts.
Same guy, same 6:45 alarm. Aevia ingested overnight data both mornings. Tuesday's body is depleted and under-recovered. Thursday's body is fueled and ready. Two completely different caloric targets before he even opens the app.
Tuesday's lunch is a recovery meal. The protein and carb window is critical. Thursday's lunch is maintenance. Same restaurant options available. Completely different dish surfaced.
Aevia tracks cumulative macro progress through the day. Tuesday's training load opened a gap that needs filling before dinner. Thursday is cruising. Same Marcus, different signal.
Same Marcus, same kitchen radius, same cuisine preferences. Two different dinners because the gap is different. The $0.99 fee triggers on order confirm. The ring closes. Tomorrow recalibrates overnight.
Aevia doesn't follow a static plan. It reads real-time physiological signals and adjusts what you should eat right now. Here's what changes and why.
| Signal Detected | What Changes in the Body | Aevia Adjusts |
|---|---|---|
|
Poor sleep
Wearable sync
|
Insulin sensitivity ↓ 25%. GH ↓ 60%. Protein catabolism accelerates. Inflammation markers rise within 24h. | Shifts to complex carbs early, raises protein target, adds Mg-rich foods, flags anti-inflammatory dishes. |
|
High stress
HRV + self-report
|
Cortisol depleting B vitamins and vitamin C at 2–3× rate. Muscle breakdown. Gut permeability increases. | Routes to anti-inflammatory dishes, omega-3 priority, vitamin C-rich foods. Increases total calories slightly. |
|
Post-exercise
Activity data
|
Protein turnover ↑ for 24–48h. Glycogen depleted 40–60%. Free radicals spiked 10–20×. Electrolytes lost. | Prioritizes leucine-rich options, carb replenishment window, electrolyte-dense foods. Timing-aware. |
|
Glucose instability
CGM or pattern
|
Spike-crash cycle. Insulin overshot. Reactive hypoglycemia. Brain fog, cravings, energy wall. | Restructures macro ratios: fat + fiber + protein with every carb. Smaller portions. Meal spacing. |
|
Gut disruption
Self-report
|
Absorption impaired. LPS translocation triggers systemic inflammation. Serotonin production drops. | Switches to gut-healing protocol: bone broth, glutamine-rich foods, eliminates known triggers. |
|
Late eating pattern
Log analysis
|
Circadian mismatch. Same food stores more fat at 9pm than noon. Melatonin suppressed. Sleep impaired. | Front-loads calories to earlier meals. Suggests eating window restriction. Flags cortisol-lowering evening foods. |
|
Inflammation signal
Biomarkers + symptoms
|
NF-κB pathway active. IL-6 elevated. Joint pain, brain fog, accelerated aging. May be gut, stress, or sleep origin. | Omega-3 and curcumin-rich meals. Polyphenol sources. Eliminates high-inflammatory foods. Traces upstream cause. |
|
Age-related shift
Profile baseline
|
Anabolic resistance rising. Absorption declining. NAD+ and collagen falling. Inflammaging baseline climbing. | Raises leucine per meal, adds CoQ10 and collagen targets, increases vitamin D, suggests digestive support. |
Aevia doesn't show you a menu. It runs your macro state against every indexed restaurant in your area, filters by what you need right now, and surfaces one ranked result. Here's what happens between your last meal and your next recommendation.
The retention mechanism is not a streak or a badge. It is a factual confirmation: you set a nutritional target, Aevia told you what to order, you ordered it, and the target was met. The ring closes. Tomorrow adjusts automatically.
Sleep duration, active calories, and recovery score ingested silently. Daily macro targets calibrated automatically. No input required.
Post-workout calorie burn ingested. Remaining nutritional gap recalculated. A specific dish is surfaced — not a range.
Aevia confirms the target was met. If short, tomorrow's target adjusts forward. No streak broken. No guilt. Just the next recommendation.
Preference, portion behavior, and restaurant quality accumulate. The product improves with every order placed through Aevia. Switching cost grows over time.
"You burned 847 calories today. You needed 93g protein. The Warm Harvest Bowl delivered 88g. You're 5g short. Tomorrow's target adjusts — we'll front-load protein into breakfast. Sleep score permitting."
The architecture behind the recommendation. Data ingestion, gap calculation, dish scoring, order routing.