Client check-ins arrive while you are programming the next block.
Personal coachingdoesn't scaleby accident.
Amenti gives trainers one mobile command center for clients, plans, nutrition, progress, scheduling, messages, and AI-assisted admin.

Today's queue, client context, and plan actions in one view.
Apply with one roster bottleneck. We review fit, choose a small pilot group, then invite trainers in batches.

The problem is not coaching. It is everything around it.
Plans, messages, nutrition, schedules, progress, and follow-ups all compete for attention before coaching even starts.
Nutrition questions need context from last week, not a generic reply.
Workout edits, schedules, and follow-ups are spread across separate tools.
Progress data exists, but it is not visible when you need to make the decision.
Trainer control. Client clarity.
Handle the next decision, then coach.
Roster, client details, plans, schedule, and messages stay tied to the same coaching record.


Clients see the next step.
Meals, sessions, workouts, and progress stay simple so trainees never feel the back office.
Trainer controls the system. Trainees only see the next useful action.
One loop for the coaching week.
Amenti keeps the familiar coaching rhythm and removes the tool-hopping around it.
Add trainees from the roster.
Assign workout and nutrition plans.
Adjust from progress, messages, and schedule changes.
Context breaks when tools split.
Amenti keeps each coaching decision attached to the client record: what changed, what to assign, and what to say next.
Disconnected stack
Client record
Maya R.Next: adjust lower-body volume and send nutrition check-in.
Apply for the private trainer cohort.
Tell us where admin slows your coaching. We review fit, reply with the next cohort window, and start with a small pilot before any larger migration.


