The Oura Ring meal tracking AI feature has a significant bias towards labeling everything as having medium-to-high added sugar and being processed food by default. I’m beginning to question the dataset they used to train the AI used in this feature.
Currently, the only way for me to get accurate entries is to use the text mode and explicitly add “no added sugar or sweetener” and “minimally processed” for each meal.
Why Meal Tracking Matters Reaching a Muscle Gain Goal 🥗🥦
Meal tracking is essential for reaching a muscle gain goal because it provides structure, clarity, and control over your nutrition.
🍽️ Ensures You’re in a Caloric Surplus
📊 Keeps Macros Balanced for Optimal Gains
🥦 Identifies Nutritional Gaps or Excesses
#mealtracking #musclegain #musclegoals #nutrition #caloriesurplus #macros #macronutrients #optimalgains #nutritiongaps #plateaus #habits #onlinecoach #onlinepersonaltrainer
Why you should track progress through food journals ✍️🍎
Writing down your food intake creates awareness, making it easier to stay consistent and meet your muscle-building goals.
👉 Identify Nutritional Gaps
👉 Monitor Caloric Intake
👉 Assess Meal Timing and Frequency
👉 Track Progress Over Time
#trackprogress #journal #foodjournal #mealtracking #nutrition #protein #carbs #fats #macros #calorieintake #bulk #cut #mealtiming #frequency #onlinecoach #onlinepersonaltrainer
