AI calorie tracker tests earned calories

Hot take: don’t lock into one philosophy. Ship a conservative default, then give users a visible mode switch and hard caps so the app feels adaptive instead of permissive.

• –Raw HealthKit active calories are noisy enough that a 1:1 auto-add can overfeed users on workout-heavy days.
• –A conservative earn-back model with an adjustable offset gives beginners safety while still serving advanced trackers.
• –Macro rollover is genuinely useful, but it should be transparent and bounded so “saving for the weekend” doesn’t become hidden drift.
• –The differentiator here is behavior design, not HealthKit plumbing: explain why the budget changed, don’t just change it.
• –Similar AI calorie apps are already crowding the space, so the policy layer may matter more than the ingredient-recognition feature.