Personal product · Mobile interaction
Fitness logging that fits the pause between sets.
I defined the product, training structure, mobile interactions, progression logic and AI-assisted logging flows.
Private app · ongoing iteration
Ongoing personal project
The problem
Recording sets and meals felt separate from the activity, and rigid schedules did not fit my repeatable routine.
What I delivered
A private app combining training plans, rest-time logging, repeatable meals and progress.
Original app designs. Personal project in development.
Design decisions
Logging had to fit short pauses during training and make an AI meal estimate easy to review before saving.
01 / Design rationale
Place set entry and the running rest timer on the same screen.
Explore the original Why this structure
Logging happens when I already reach for my phone, keeping the record next to the moment it describes.
02 / Design rationale
Show the meal estimate, its confidence indication and an adjustment action before saving.
Explore the original Why this structure
A quick entry flow still needs a visible opportunity to inspect and correct the result.
Interface tour
The home connects daily activity with training and meals. Flexible plans keep the routine visible without turning every visit into a setup task.
Rest between sets becomes a natural place to log. Meal estimates are reviewable before saving, while rewards connect repeated effort to the personal routine.
Interface vocabulary
#FFFFFF#F3F0FC#8B5CF6#24222CDelivery
An ongoing private app combining rest-time logging, flexible training plans, repeatable meal libraries, and AI-assisted entry. The work demonstrates how a personal routine can inform specific interaction choices.
Next design question
My routine is a useful starting point, but it is only one routine. The next step is to observe people with different training habits and check the full logging loop: enter a record, understand the feedback, and correct a mistake.