Guide
How to review an AI-generated workout before you approve it
Read an AI draft in order of risk: what could hurt the client first, what merely wastes their time last. Seven checks, a time budget, and one illustrative draft with three problems the review catches.
By RaiNGE product teamUpdated 7 min read
Written for coaches approving AI-drafted programs from any tool before they reach a client.
See how RaiNGE drafts programs from client context, applies safety rules, and holds every draft for your review. See coach-reviewed AI drafts
On this pageReview in this order, highest risk first
Review in this order, highest risk first
Most coaches read a draft top to bottom, the way the client will. Reading by risk works better: a problem near the top can hurt the client, and one near the bottom costs a little quality. The order suits drafts from any tool, and the guide to ChatGPT workout programs covers the context to give a chat assistant first.
- 1
Client fit: goal, phase, and schedule
Check the goal, where the block sits (week 3 of 6, a lighter week, a return after time off), the number of days, and session length. A four-day draft for a three-day client fails here, and nothing below matters until it is fixed.
- 2
Safety: injury notes, pain, and cautions
Read every exercise that loads a flagged area against the latest notes, plus any caution the tool shows. Apply the bands: 0-2 out of 10 and familiar, continue with monitoring; 3-7, modify before loading; above 7, or sharp, worsening, radiating, or unfamiliar pain, stop loading and refer to a qualified professional.
- 3
Equipment: where the client trains this week
Every exercise must be possible with what is available, at the loads written. Check the range too: dumbbells that stop at 25 kg cannot cover a 30 kg goblet squat.
- 4
Dose and progression
Compare working sets per muscle group and effort targets with the last block. Increases should build only on sessions that happened at or under the target effort. Missed sessions mean repeating the last completed week.
- 5
Exercise selection and order
Each exercise should do its slot's job, with heavy and technical work early. Watch for duplicates, such as two hinges back to back, and gaps, such as a week with no pulling.
- 6
Coaching notes
Read the cues as the client will, mid-set. Delete any note that gives medical advice, mentions a diagnosis, or contradicts a change you made at the safety step.
- 7
Delivery
Check the start date, the days, rest periods, and a one-line note on what changed from last week. Then approve. If you could not explain a change in one sentence, go back a step.
A time budget: about five minutes per client
Review time is where AI drafting either saves hours or quietly gives them back. These targets assume a coach who knows the client.
The rule: if routine reviews keep running past ten minutes, the inputs are the problem (stale injury notes, missing attendance, the wrong equipment list), so fix the client record before you review harder. At 30 clients, five minutes each is two and a half hours a week: the real cost to weigh against drafting by hand.
Worked example: one draft, three problems
This draft is illustrative, written for this example. The client is 46, in week 4 of a 6-week strength block, training three days a week. This morning's check-in shows familiar low-back pain at 4/10. They are travelling: the hotel gym has dumbbells from 5 to 25 kg, an adjustable bench, and a treadmill, with no barbell or cables. Last week they completed 1 of 3 sessions, with goblet squats at 3×10 with 22.5 kg, RPE 8, against a target of RPE 7.
Read top to bottom, the draft looks fine. Read by risk, it fails three times.
The review took about six minutes, and each fix keeps the job of its slot: hip extension, a horizontal pull, and a squat pattern. The order mattered. At the selection step, the RDL is a sensible hinge for a lower-body day; only the safety step, with this morning's check-in open, shows it is wrong today. The deadlift alternatives for lower back pain list other options for the hinge slot.
The review checklist
Before you approve any AI-drafted program
- Goal, block phase, training days, and session length match the client's current plan.
- Every exercise has been read against the latest injury and pain notes, flagged by the tool or not.
- Every caution is resolved: kept on purpose, swapped, or removed.
- Every exercise is possible with this week's equipment, at the loads written.
- Working sets and effort targets are close to last block's.
- Progression builds only on sessions that happened at or under the target effort.
- Each slot does its job, heavy work comes first, and no pattern is missing or doubled.
- Coaching notes are short, correct, and free of medical advice.
- Start date, days, and rest periods are right in the version the client will see.
- You can explain every change to the client in one sentence.
This checklist covers a whole draft. To judge one suggested change, such as a single swap or a load cut after a check-in, use the explainable AI workout recommendations checklist instead.
What RaiNGE handles before your review
RaiNGE moves part of the safety step ahead of you. Deterministic safety rules remove exercises that conflict with flagged limitations, so with a low-back flag on the profile the RDL above would not appear, and cautions are shown to you. Full-program drafts get a second AI review pass before you see them. It always runs when the client has injury notes, may be skipped for clean drafts that score very high, and uses the same model, so treat it as a second look. Each exercise carries a short coaching note. Equipment, dose, and progression stay with you, and nothing reaches the client until you approve it.
Common questions
Should I edit an AI draft or start again?
Edit when the problems are line-level: a swap, a load, a cue. Start again with corrected context when the draft fails at the top of the order, such as the wrong goal or number of days, or has more than two safety or dose problems. Patching a draft that misread the client usually takes longer than regenerating it.
Who should review AI drafts when several coaches share clients?
The coach who knows the client, every time. A head coach can spot-check a few drafts each week for drift in dose or exercise choice, but spot checks do not replace the per-client review. Agree one review order across the staff, so a covering coach checks the same things in the same sequence.
What should I do with the problems a review finds?
Fix them in the draft, then fix the input that caused them. A cable row in a hotel week means the equipment record is out of date, and a load increase after missed sessions means attendance never reached the draft. In RaiNGE, coach edits do not retrain the system, so the next draft improves only when its inputs do.