Mansaf, small portion
Input
Text, ingredient and photo estimates grounded in real food data — with coach-set targets.
View pricingText estimates
Clients type what they ate — "grilled chicken with rice and salad" — and get macro estimates without searching a database line by line.
Input
Calories
Protein
Review
Ingredient mode
For home cooking and meal prep, clients add ingredients and quantities — the estimate sums macros from each line.
Chicken breast
White rice
Olive oil
Total
Photo estimates
Photo plus description gives the model context for portion size — faster than manual search when clients eat out.
Estimate
Logged
Coach targets
AI logging fills the day log — but calorie and macro targets always come from you, visible on home rings and in the client hub.
Coach target
Protein goal
Logged today
260 kcal
Local foods
Estimates draw on regional dishes and everyday ingredients your clients actually eat, in Arabic and English.
منسف · mansaf
كشري · koshari
كبسة · kabsa
Coach-controlled access
Enable AI nutrition per client — included on higher tiers or granted as an add-on where you configure it.
Enabled
Omar · AI nutrition
Plan tier
How it works
Text, ingredients or photo — whichever fits the meal.
Macros calculated from food data, not guesses in a vacuum.
They edit portions or items before saving.
Daily totals appear in the client hub against your targets.
Why it matters
When describing a meal takes ten seconds instead of ten minutes, adherence goes up — and you get cleaner data for check-ins and phase changes.
AI estimates are approximations, not lab analysis. Encourage clients to confirm portions and use ingredient mode when precision matters.