Training programs load into athlete apps faster, and a person checks each one

The problem

A fitness programming company writes its training for the week. Then someone must put every workout into the app the athletes use.

Each workout has many boxes. Warm-up, lifts, scores, notes, links. It is slow work, and it comes back every week.

What we built

Our Programming and Content Ops team loads programs for fitness programming companies, into apps such as SugarWOD, PushPress, Wodify and Exercise.com. We now let AI do the typing for the apps we use most.

The AI works in the app the way a person does. It also looks for the app's own data path, so it can post a workout directly instead of clicking through each screen.

• Weekly trackerEvery program track has a status: in progress, in review, ready, published.
• AI loaderIt reads the source program and fills the boxes in the athlete app.
• Person checkA team member compares each box to the source before it goes live.

How it works

1. The client sends the week's program.
2. The team opens the track in our tracker and marks it in progress.
3. The AI loads the workouts into the athlete app.
4. A person checks every box against the source.
5. The program goes live on the planned day, and the tracker shows it as published.

For PushPress

PushPress makes software for gyms. We took over manual data entry for its operations team and built automation for its weekly programming loads.

One of those loads was a 13-week HYROX Affiliate cycle, uploaded week by week. The final week went up on October 28, 2026.

PushPress says: "Autosterea saved us 80+ hours of work per month."

What changed

On one program, the team now automates about 70% of the weekly upload. The aim is to cover every program we load.

Each client report shows the time saved and the accuracy. The team keeps adding programs to the list, one at a time.