PacePartner Blog

Training decisions, explained without chart panic

Practical notes for self-coached endurance athletes who want better answers from their load charts, workouts, and recovery data.

Tools 12 min read

Best AI Coaching Tools for Intervals.icu Athletes (2026)

This practical comparison breaks down which AI coaching tools actually work with Intervals.icu, what each one does best, and where the real tradeoffs appear for self-coached endurance athletes.

What you'll learn How the main Intervals.icu-compatible AI tools differ on planning, daily guidance, and calendar write-back.
Why it matters Most of these tools look similar from the outside, but they solve meaningfully different problems once you use them in a real training workflow.
Practical takeaway Choose based on whether you want a plan builder, a conversational coach, or a flexible technical setup you control yourself.
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Race Taper 10 min read

How Long Should Your Taper Be for a Marathon, Half, Gran Fondo, or 70.3?

This practical guide gives self-coached runners, cyclists, and triathletes event-specific taper ranges, explains how much volume to cut, and shows when a longer taper makes sense.

What you'll learn How long to taper for a marathon, half marathon, gran fondo, Olympic triathlon, or 70.3.
Why it matters The right taper helps you lose fatigue without losing race feel or panicking over dropped load.
Practical takeaway Use a simple event-by-event range first, then fine-tune it with fatigue, travel, and race demands.
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Self-Coaching 11 min read

How to Adapt Training During Work Travel, Jet Lag, and Bad Hotel Sleep

This guide shows self-coached endurance athletes how to adjust training around flights, red-eyes, poor hotel sleep, thin equipment, and race-week travel without panicking the whole week.

What you'll learn How to decide when to push, hold, downgrade, or skip after a flight, bad night, or messy travel day.
Why it matters Travel changes sleep, hydration, timing, and logistics all at once, so stubborn training often costs more than it gives back.
Practical takeaway Realistic work-trip scenarios for single-night disruption, jet lag, limited equipment, and race-week travel.
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Self-Coaching 10 min read

Only 30, 45, or 60 Minutes Today? How to Salvage the Session

This guide shows self-coached endurance athletes how to shorten endurance, threshold, interval, and easy days without losing the point of the workout or wrecking the rest of the week.

What you'll learn How to preserve the real job of the session when the available training window shrinks.
Why it matters Short sessions help only when you keep the right stimulus instead of mixing goals in a rush.
Practical takeaway A 30, 45, and 60-minute cheat sheet plus examples for endurance, threshold, intervals, and easy days.
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Strength Training 11 min read

Strength Training for Endurance Athletes

This practical guide shows runners and cyclists how to use strength training to improve economy, efficiency, power, and durability without trashing the next key session.

What you'll learn How to place 1 to 2 strength sessions in an endurance week without sabotaging the run or ride that matters most.
Why it matters The payoff is usually better economy or efficiency and better force production, not a magical VO2 max jump.
Practical takeaway Use a few big lifts, a few single-leg or calf movements, and consistent progression instead of random circuit fatigue.
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Self-Coaching 8 min read

What to Do If You Miss a Workout

This guide shows endurance athletes when to move a missed long run, threshold session, or long ride, and when skipping it is the smarter move for the whole week.

What you’ll learn How to decide whether a missed workout should be moved, trimmed, or dropped entirely.
Why it matters The single missed session is rarely the real threat. Panic catch-up training usually is.
Practical takeaway A simple 24-hour reshuffle rule for protecting recovery spacing and keeping the week coherent.
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Training Metrics 10 min read

Common CTL, ATL, TSB, and HRV Questions (2026)

This practical guide shows endurance athletes what training load and recovery metrics are actually saying, when RPE should overrule the chart, and how to simplify daily decisions.

What you’ll learn What TSS, CTL, ATL, TSB, and HRV each do well, and where each one starts to mislead.
Why it matters Low-load days can still be expensive when recovery, stress, fueling, or illness are driving the real cost.
Practical takeaway A 60-second push-hold-back-off check-in for days when the chart and your body disagree.
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Self-Coaching 10 min read

How Self-Coached Athletes Should Adapt Training Plans

This guide shows self-coached endurance athletes how to adjust workouts and weekly structure around fatigue, life stress, missed training, illness, and pain without losing the point of the block.

What you’ll learn How to protect training intent instead of rigidly preserving the written calendar.
Why it matters One stubborn session can wreck a training week faster than one missed workout ever will.
Practical takeaway A green-yellow-red framework for adjusting daily training and race-week structure.
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Recovery Signals 9 min read

When to Skip Workouts: RHR and HRV Guide for Athletes

This decision-focused guide explains when endurance athletes should train normally, downgrade the session, skip intensity, or stop entirely based on symptoms, resting heart rate, and HRV trends.

What you’ll learn How to use symptoms, RHR, HRV, and easy-run response in the right order.
Why it matters One stubborn session can turn a mild illness into a week-long training setback.
Practical takeaway A printable green-yellow-orange-red decision sheet for real-world training calls.
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Training Metrics 8 min read

CTL vs ATL Explained: When the Ratio Lies

The first PacePartner article breaks down what CTL and ATL actually measure, why ratio-based rules often fail in real training, and how to make better decisions when your chart looks scary.

What you’ll learn Why CTL and ATL are trend tools, not direct measurements of fitness and fatigue.
Why it matters A bad ratio can reflect normal overload, bad source data, threshold changes, or low baseline CTL.
Practical takeaway Use a three-layer check: validate the data, read the block, then confirm with athlete feedback and workout execution.
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