Training Analysis Page
A focused training decision flow for plan-vs-actual review, load interpretation, and next-step adjustments.
Trainingload.ai is not a pile of isolated tools. It brings today’s workout, the plan, calendar, training load, and AI coach review into one place.
Keep the tempo run. If fatigue climbs after warm-up, cap intensity and protect tomorrow's aerobic volume.
Load metric
To Reach TSB=0
Key training signals that shape today's next step.
| Jun 3 · Wednesday · 1 workout
Check load, review progress, update zones, or adjust the next week without reading a wall of theory first.
A focused training decision flow for plan-vs-actual review, load interpretation, and next-step adjustments.
An adaptive marathon planning flow using completed workouts, PMC signals, and confirmable AI adjustments.
Open the page for the exact training question in front of you: load, progress, thresholds, zones, or readiness.
Analyze power-duration behavior and connect it to CP/FTP and load decisions.
Benchmark strengths and limiters by duration for block-level decisions.
Set custom power/pace/heart-rate zones aligned with your threshold model.
Estimate threshold anchors with file and model workflows before adjusting zones.
Review response trend with load context before changing intensity.
Track best efforts across durations and compare progress by block.
Use CTL/ATL/TSB context to make weekly stress and recovery decisions.
Use the PMC chart workflow to turn CTL/ATL/TSB into practical actions.
Every page supports the same goal: train well today, recover when needed, and keep improving over time.
Create, save, activate, and adjust a plan you can actually follow.
View planned workouts and real workouts together to spot misses, dense weeks, and recovery gaps.
Use CTL, ATL, and TSB to turn training stress into evidence for progress.
Recent 30 days
AI reads the plan, real workouts, load, and readiness signals before explaining what should change.
For beta, the priority is not more features. It is making plans, completed workouts, load changes, and AI suggestions fit together naturally.
See what to train today, where the plan stands, and what recent workouts are saying.
Adjustments appear as before/after drafts that are validated and applied only after confirmation.