Less chasing
Routine does not depend on memory
Milo finds follow-up work from real client signals instead of waiting for the coach to remember it.
The agent workspace inside eFitHub
Milo sees what needs attention and turns it into reviewable work.
Programs end. Reviews become due. Clients go quiet. Milo follows the live coaching operation, prepares the right next step in the background and brings the complete result back to you for approval.
Less rebuilding
Every result starts with context
Current programs, recent training, questionnaires and confirmed client facts stay attached to the task.
Full control
Nothing client-facing happens silently
The coach can edit, reject or approve every proposal before Milo changes product data or sends anything.
The agent loop
Detect → prepare → review → apply → remember.
Milo is not a blank chat box. It is an operating layer around the complete coaching workflow.
01
Detect
Read real signals such as an ending program, overdue review, completed check-in or inactivity.
02
Prepare
Gather source context and complete the multi-step work as a durable background run.
03
Review
Show the editable proposal, rationale, sources and exactly what will change.
04
Apply
Create the approved program, note, questionnaire, message or notification in eFitHub.
05
Remember
Keep trainer-confirmed facts available for the next decision without inventing context.
Five connected surfaces
See the work, not just an AI answer.
Every surface answers a practical question: what needs attention, what is ready, what is running, what repeats and what Milo knows.
01
Today
A live queue built from client signals
Milo surfaces expiring programs, due reviews, questionnaire responses, inactivity and missing onboarding data with the evidence behind each task.
02
Approvals
Complete proposals before anything changes
Review and edit structured output, inspect the rationale and source data, then approve or reject it.
03
Runs
Visible multi-step work that survives the page
Follow each background run from source collection to an editable result. Retry, cancel and audit the work instead of watching a spinner.
04
Automations
Repeat the routine on your terms
Choose the trigger, action, clients, monthly credit budget and quiet hours. Milo prepares the work; approval policy still applies.
05
Client memory
Trainer-confirmed context with sources
Keep constraints, preferences and goals visible with confidence, provenance and expiry instead of hiding facts in old messages.
Real agent workflow
Watch Milo move through the complete workspace.
A slow, full-width walkthrough of Today, Approvals, durable Runs, Automations and Client memory using clean demo data.
What Milo can run
From a real signal to a useful product action.
Milo works inside the same system that already holds the program, schedule, progress, questionnaires and communication.
Input
Signals Milo can watch
- A program is about to end
- A client review is due
- A questionnaire was completed
- A client has become inactive
- Onboarding information is missing
- The schedule needs attention
Output
Work Milo can prepare
- The next program and scheduled workouts
- A structured review note
- A questionnaire and assignment
- A direct client message
- A push notification
- A trainer-confirmed memory update
Agentic, not uncontrolled
Automation with a visible boundary.
Milo reduces routine while the coach keeps professional judgment, the client relationship and the final decision.
Approval before impact
No product change or client-facing send is applied until the coach confirms the proposal.
Evidence beside the proposal
The source program, recent training, questionnaire or confirmed client fact stays visible.
Budgets and quiet hours
Set monthly credit limits and prevent automated preparation during the hours you choose.
Client-level exclusions
Keep specific clients outside an automation without switching off the complete workflow.
Keep the coaching human. Let the operation move faster.
Start with one client and see Milo turn live context into a complete, reviewable next step.