Trainingload.ai
User Guide

Connect Data

Connect training data to Trainingload.ai so completed workouts can feed activity analysis, training load, plans, calendar views, and AI Coach reviews.

Connect Data

Trainingload.ai needs completed workouts before it can analyze execution, load, and readiness. You can bring data in through platform sync or by uploading files.

What happens after data arrives

Imported workouts go through a processing pipeline:

  1. Receive the source activity or file.
  2. Normalize the data into a common activity format.
  3. Check duplicates so repeated uploads do not create confusing history.
  4. Materialize the activity in your account.
  5. Build analysis data for charts, maps, and metrics.
  6. Compute training metrics such as load, pace, power, heart rate, and PMC signals.

You may see an activity before every chart is ready. If analysis is still running, wait for the status to finish and refresh the page.

Platform sync

If you connect a supported third-party provider, new activities can be brought into Trainingload.ai without manual file upload.

Use platform sync when:

  • You record workouts on another service.
  • You want recent activities to appear automatically.
  • You want AI Coach and plans to use the latest completed training.

If a synced activity looks incomplete, check the original source first. Missing heart rate, power, GPS, or elevation data usually comes from the source file or device permissions.

File upload

Use file upload when:

  • You have a GPX / TCX / FIT file.
  • You want to import historical workouts.
  • You recorded a workout outside the connected platform.
  • You need to retry or test a specific activity.

See Upload Activity Files for the step-by-step flow.

Data quality checklist

For the best analysis, make sure your files contain:

  • Accurate start time and time zone when available.
  • Distance and duration.
  • GPS track for outdoor routes.
  • Heart rate if you want HR zones, TRIMP, EF, or decoupling.
  • Power if you want FTP/CP/NP/VI and power-based TSS.
  • Elevation if you want GAP, NGP, route analysis, or climb context.

How connected data is used

Once processed, workouts can appear in:

  • Activities: feed, search, detail pages, charts, and map.
  • Dashboard: summary cards and trend views.
  • PMC: CTL, ATL, TSB, and related load metrics.
  • Plans: actual workouts can link back to planned sessions.
  • AI Coach: reviews can reference real completed training.

For day-to-day activity management, see Activities Feed and Search.