Skip to content

Topic guide

Training around pain, low readiness, and AI-drafted plans

Bad days are part of every program. These guides set the rules for what changes, who decides, and when training stops and a professional takes over.

7 guidesUpdated

Short answer

The client is sore, tired, or hurting. What changes today, and who decides?

Decide the rules before the bad day. Familiar pain at 0-2/10 continues with monitoring, 3-7 modifies the session before loading, and above 7, or sharp, worsening, radiating, or unfamiliar pain, stops loading and goes to a qualified professional. Low readiness lowers the dose. AI can draft these changes, but a coach approves them.

See what to require when software drafts and adjusts training for your clients. Read the buyer's guide

The rules every program needs before a bad day

These are coaching rules for qualified staff. Diagnosis and treatment belong to licensed professionals.

  1. 01

    Ask the same questions every session

    A 0-10 pain score, where it hurts, and whether it is familiar. Consistent questions make reports comparable from week to week.

    Go deeper: The pain scale for exercise, and what to change at each score
  2. 02

    Use bands you agreed on before the session

    0-2 and familiar: continue and monitor. 3-5: reduce load or range first, then the setup, then the exercise. 6-7: stop the movement that provokes it and choose a conservative alternative. Above 7, or sharp, worsening, radiating, or unfamiliar: stop and refer out.

    Go deeper: Deadlift alternatives for lower back pain, starting with the pain score
  3. 03

    Let readiness change the dose

    Poor sleep, high soreness, or low energy lowers volume or intensity for the day. Keep the session's intent where you can, and talk to the client when low readiness repeats.

    Go deeper: How to adjust a workout when your client is tired
  4. 04

    Keep AI drafts behind hard rules and a human

    Safety rules should remove exercises that conflict with a client's flags before a coach sees the draft, and a coach approves every change.

    Go deeper: How AI workout generator safety should work before a plan reaches a client
  5. 05

    Make every change explainable

    A coach should see which input changed the plan, what changed, and how to undo it.

    Go deeper: What an explainable AI workout recommendation shows the coach

Every guide on workout safety

7 articles. Each answers one question.

Pain and injury reports

Readiness and effort

Reading how ready a client is, and how hard a session really was.

Guardrails for AI-drafted training

Common questions

When should a coach refer a client to a professional?

When pain is above 7/10, or sharp, worsening, radiating, or unfamiliar, or comes with numbness, tingling, or weakness. Also when symptoms do not settle after a week or two of reduced load. Stop loading the painful pattern and follow your facility's referral protocol.

Is it safe to train through mild pain?

Often, if the pain is low (0-2/10), familiar, stable during the session, and settled by the next day. Keep monitoring. If it climbs during the session or is worse the next morning, reduce the dose next time.

Can AI decide when to modify a workout?

It can flag that a change is needed and draft one, but it should not apply it alone. In RaiNGE, a pain score of 4/10 or more creates a pending adjustment that a coach approves or rejects. Nothing changes the plan automatically.

What is a readiness check-in?

A short daily report, usually sleep, soreness, stress, and energy, that shows how prepared a client is to train. Treat it as a prompt to adjust the dose. Several low days in a row deserve a conversation, not only a lighter session.

Next step

See what to require when software drafts and adjusts training for your clients.