AI systems for 1:1 fitness coaches
See Jason’s AI coaching workflow. Build your own.
Join the interest list for a free, 90-minute webinar with Jason Grubb. See the workflow from lead and intake through programming, client reviews, texts, nutrition review, and weekly notes.
Date to be announced. Free interest list—not event registration or a paid seat. Get the workflow checklist immediately.
What gets systemized
Lead to intake
Qualify fit, find gaps, prep follow-up questions.
Training to CoachRx
Draft, QA, and input sessions with coach judgment intact.
Daily review to text response
Turn updates into specific coaching decisions and reply drafts.
Weekly summaries to client notes
Keep context usable instead of buried in messages.
The problem is not that coaches need more prompts.
The problem is scattered client context. Leads live in one place. Intake forms in another. Programming notes, text threads, nutrition reviews, and weekly summaries drift apart. AI only helps when the workflow gives it the right job.
Build one coaching operating system.
Lead OS
Turn lead info into fit signals, missing questions, and better reply options.
Intake OS
Summarize constraints, goals, schedule, equipment, and first-week priorities.
Programming OS
Use AI for structure and QA while the coach owns the training decision.
CoachRx Input OS
Prepare clean session inputs and catch mismatched notes before they hit the client.
Daily Review OS
Triage check-ins, training logs, pain notes, and missed-session patterns.
Text Response OS
Draft replies that reflect the actual client context instead of generic chatbot tone.
Nutrition Review OS
Review patterns, gaps, adherence signals, and next coaching questions.
Client Notes OS
Keep client context updated so the next review starts with the right information.
Privacy is part of the system.
Fitness Coach OS does not teach coaches to paste private client data into random prompts. Every workflow starts with a privacy filter and coach-approved context.
Remove: names, phone numbers, emails, screenshots, billing details, medical diagnoses, and identifying specifics.
Use instead: synthetic client IDs, anonymized summaries, general constraints, and the current coaching decision.
Rule: AI can prep the review. The coach still decides.
Boundary: Platform-agnostic education, not official training from any coaching software company.
Fitness Coach OS Live Implementation · $1,200
For coaches who want help building the workflow after the demonstration: four weekly live build sessions with Jason, recordings, Q&A, templates, synthetic practice cases, and the $99 Toolkit included.
Week 1: lead, intake, privacy and context. Week 2: programming and CoachRx entry checks. Week 3: daily reviews, texts and nutrition review. Week 4: weekly summaries, notes and full-workflow testing.
Founding cohort: 10–12 coaches. Teaching dates are pending. Paid enrollment is not open. The goal is a tested workflow you can operate—not a guarantee of revenue or hours saved.
Get webinar updates and the free checklist.
Tell us your coaching platform and biggest workflow bottleneck. We’ll notify you when Jason’s webinar date and cohort details are available. The checklist opens immediately after submission.
No payment. No seat reservation. Do not submit private client information.
Free webinar interest list
By joining, you agree to receive Fitness Coach OS webinar, cohort and coaching-workflow updates. Unsubscribe anytime.
Before you join
Is the webinar free? What costs $1,200?
The webinar and interest list are free. The separate four-week Live Implementation program will cost $1,200 and include the $99 Toolkit. Paid enrollment is not open.
Is this official CoachRx training?
No. CoachRx is one workflow surface we may reference. Fitness Coach OS is platform-agnostic education.
When does it start?
Webinar and cohort teaching dates are being confirmed. Joining this list does not reserve a seat or register you for a scheduled event. We will send the dates and registration details when available.
Are client examples real?
Public examples are synthetic, anonymized, or specifically approved. Private client data is not used as public teaching material.