FitOps CLI

Dashboard — Workouts ​

The Workouts page (/workouts) is where you build structured training sessions, simulate how they'd play out on a real course, and review your workout history with compliance scores.

Workout Library ​

The main workouts list shows every workout you've created. Each entry displays:

  • Workout name and sport type
  • Target duration
  • Tags (e.g. threshold, long run, recovery)
  • A link to the detail view

Click a workout to open its full detail — the structured segments, any linked Strava activities, and the compliance breakdown.

Creating a Workout ​

Hit New Workout to open the workout editor. Fill in:

  • Name — a short label for the session
  • Sport — Run, Ride, etc.
  • Target duration — total planned time in minutes
  • Tags — comma-separated labels for grouping
  • Description / structure — written in Markdown, using the same segment format as the CLI:
markdown
## Warmup
10 min easy (Z1–Z2)

## Main Set
4 × 8 min @ Z4
2 min Z1 recovery jog between reps

## Cooldown
8 min easy Z1

Named ## sections become scoreable segments — FitOps can compare them against your HR data when you link an activity.

Simulate a Workout ​

The Simulate button on any workout (or the standalone Simulate tool) lets you preview a session before you do it. You pick a course, set your current fitness metrics, and FitOps projects:

  • Projected total time and pace per segment
  • Expected HR in each zone
  • Effort distribution across the session
  • Weather-adjusted targets if forecast data is available

This is useful for deciding whether a planned session is realistic on a given day.

Workout Detail & Compliance ​

Once you link a workout to a Strava activity (via fitops workouts link), the detail view shows:

  • A physiology snapshot at the time of the session (CTL, ATL, TSB, VO2max)
  • Per-segment compliance scores — how closely your actual HR matched the zone targets
  • A summary compliance grade for the whole session

See Also ​

← Dashboard Overview

FitOps CLI — terminal-first training analytics