Fine-Tuned LLM Coaching Engine for a Wellness Subscription App
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Problem
Coaching couldn't scale
A subscription wellness-coaching startup with roughly 40,000 members had hit a scaling wall. Each human coach could manage only about 200 clients, replies to member check-ins took hours, and coaching quality varied noticeably between coaches. Hiring at the pace membership was growing would have doubled payroll within a year.
Solution
Coach-in-the-loop fine-tuned LLM
We fine-tuned a large language model on thousands of anonymised, coach-approved conversation excerpts so it drafts replies and habit nudges in the programme's own coaching voice. Coaches review, edit, and send every message from a unified inbox, while sensitive topics are automatically routed straight to a human with no AI draft attached.
Measurable Impact
What changed after launch
Average coach caseload grew from 200 to 470 members with no drop in satisfaction scores
Median reply time to member check-ins fell from 9 hours to under 30 minutes
88% of AI-drafted replies sent with minor or no edits after the second tuning round
30-day member retention improved by 14% across the two quarters after launch
Tech & Tools Used
What powered the build
Ready to Build your Health & Wellness Business with LLM Integration & Fine-Tuning
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