Your workout keeps moving.
Record sets while identification runs. A failed model call doesn’t have to end a workout.
INDEPENDENT SOFTWARE /
BUILT WITH INTENT
Run the AI.
Don’t let it
run you.
I build useful software that puts you in control.
AI helps with
the details. You decide what matters.
LESS FRICTION. MORE DOING.01 / THE FIRST BUILD
01 BUILT FOR THE GYM
DocLifts.
Keep lifting.
The details can catch up.
A workout log for the way you actually train. Photograph a machine, start recording your sets, and let AI help identify the equipment in the background.
Review the suggestion when you’re ready. Your saved sets stay put.
Explore DocLifts on GitHubIn active development. Source and self-hosted demo available.
THE IDEA, IN ACTIONINTERACTIVE WALKTHROUGH
d.Quick workoutEXAMPLE SESSION
CURRENT EXERCISE
Unidentified machine
Photo added. Keep logging.AI
| SET | LB | REPS | STATUS |
|---|---|---|---|
| 01 | 100 | 10 | ✓ Saved |
WHEN YOU’RE READY
A suggestion is waiting for your review.
Looks like a leg press.
Use this name,
or keep logging and decide later.
Try logging a set before reviewing the suggestion.
Illustrative demo. No photo upload or AI call.
Example sets
stay here until you reload.
The right history, in the right place.
Each machine keeps its own history. Your free-weight history follows you between gyms.
Plans that leave room for real life.
Edit your workout as you go. Choose a change for just today or carry it into your program.
THE APPROACHA PRINCIPLE, PUT TO WORK.
Useful first.
Intelligent where
it helps.
Start with something worth doing.
A workout to finish. A document to understand. A repetitive task to get out of the way. The job comes first.
Keep the person in charge.
Make suggestions clear, uncertainty visible, and corrections possible. Give people the final say.
Build it. Use it. Make it better.
DocLifts is the first working example. What comes next will grow out of real use, real problems, and what’s worth building.
LESS THEORY. MORE WORKING SOFTWARE.
Follow the work on GitHub
This is the starting line.
Follow the builds, read the code, and see how the pieces work.