Today's priorities
Sun 18 OctToday's Top 3
1 / 3Training & nutrition
PLANNEDHabits
5 / 8All areas at a glance
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Last 7 days ▸ expand
green = goal met · yellow = close · red = missed
Life domains ▸ expand
Measured where metrics exist
Weekly performance
Sunday, 18 October
Three ways in: structured Quick Add, one natural-language line, or the AI assistant. Every record carries its state so nothing is silently invented.
Natural language input
AI daily summary
GENERATEDSlept 8h 30m (23:00 → 07:30), best this week. Protein is at 124 g with dinner still to come; one CB2 would land you at 162 g. Steps 2,047, well short of target. Legs session planned at 18:30.
- Missing
- Morning weight · Mood · Scripture
- Note
- Missing ≠ zero. These stay blank until you log them.
Timeline
Habits
5 / 8Notes
PrivateBody composition and training
Weight, body fat and skeletal muscle trends with progressive overload tracked per exercise variation. A PR counts only when load rises at equal or higher reps with clean form.
Training schedule
Up next
Quick template
Copy → iPhone Notes → fill → paste backBody weight
Composition
Training volume
Strength progression
Recovery score
Training frequency
Muscle groups
PRs this month
BMI trend
Avg rest time
Session intensity
Cardio & conditioning
Sleep vs performance
Exercise history
Session comparison
Progressive overload
inBody scan history
Photos stored locally in browser. In production: encrypted in Cloudflare R2 with signed URLs.
Exercise setup
Fuel and meal prep
Calories, protein and macros against targets, plus a reusable meal-code inventory. Consuming a meal adds its nutrition and deducts one portion exactly once.
Calories vs target
Today's macros
Protein trend
Meal prep inventory
Sleep and circadian rhythm
Duration, consistency and quality, with recovery signals. Comparisons against training, mood and productivity are shown as correlations only.
Sleep duration
Bedtime & wake consistency
Sleep calendar
Sleep × next-day deep work
Recovery signals
Your central intelligence layer
Log, edit, query and analyse across every domain in plain language. The assistant separates missing data from confirmed negatives and asks only when it must.
Morning briefing
Sleep, recovery, today's plan and one thing to protect.
Sunday review
Plan → Actual → Proof → Gap → Next rep across six domains.
Cross-domain detection
Finds co-occurrences (poor sleep + low output) and shows the evidence.