Daily health and readiness
Bring sleep, movement, recovery signals, and recent training together before deciding how hard to push.
Private, data-informed fitness coaching
Fred brings Apple Health, workout history, recovery, strength progress, nutrition context, and AI coaching into one private place—so you can understand the whole picture, not just today’s numbers.
Private early-stage product · Access is currently limited
Sleep, recent load, and recovery context in one place.
The problem
Useful signals often live in isolation. Fred is designed to connect them, giving each workout and recovery decision the history around it.
Health data lives across separate apps and daily summaries.
Workouts are recorded without the recovery context around them.
Trends are difficult to interpret through day-to-day variation.
Generic coaching advice does not know your personal history.
Small but meaningful changes are easy to miss over time.
Fred brings these signals into a single, chronological picture—then makes that context available across daily views, reviews, trends, and coaching conversations.
The product
Every view has a practical job: understand today, review the work, notice change, and carry useful context into the next decision.
Bring sleep, movement, recovery signals, and recent training together before deciding how hard to push.
Review exercises, sets, volume, records, and strength development while keeping the rest of your fitness history close.
Compare time periods and see longer patterns across training, activity, body measures, sleep, and recovery.
Ask questions using your own recent data and recorded history as context. Fred’s role is to help you reason—not replace your judgment.
Use a private integration token to synchronize relevant Apple Health metrics and workouts into your account.
View nutrition-related signals alongside sleep, activity, and training instead of treating each input as a separate score.
Use structured reviews to look back on recent activity, recovery, workout balance, and the quality of available data.
Keep daily entries, workout progress, conversations, and trends connected over time. The goal is continuity—not another disposable daily score.
How it works
Fred fits around the data and habits you already have. The value builds as daily context becomes a useful history.
See example questionsHealth and activity signals arrive through the account’s private integration.
Recent sleep, movement, health signals, and training load become one daily picture.
Exercises and sets add training detail to the day rather than living in isolation.
Fred can relate training to the recovery and activity information around it.
Repeated observations form a longer view of strength, consistency, and recovery.
Coaching conversations can draw on the personal context already in Fred.
Coaching examples
These are example questions, not promised or guaranteed outcomes. The usefulness of an answer depends on the data available and its quality.
How has my sleep affected my training this week?
Am I progressing on my main lifts?
Should I reduce intensity today?
What changed in my recovery over the past month?
Which habits correlate with my best workouts?
Inside Fred
Your immediate health, activity, training, and recovery context.
Changes in key measures and performance across useful time periods.
Health patterns, strength development, volume, and training comparisons.
A structured look back at recent training, recovery, and data quality.
Conversations grounded in the history and context available in your account.
Visibility into metric sources, recent synchronization, and data availability.
A practical view of model usage and the cost associated with coaching requests.
Private integration, session, password, preference, and account controls.
Privacy
Fred is built around private accounts and personal context—not public profiles, feeds, or social competition.
Your views and coaching context sit behind authentication rather than a public profile.
The production web app is served over HTTPS so browser traffic is sent through a secure connection.
Connected integrations use private tokens associated with an account. Tokens should be handled like passwords.
The product is designed to help an individual understand their own history, without public leaderboards or engagement mechanics.
Early-stage product
Fred is an early-stage product being shaped through real use, careful testing, and continuous improvement.
Features, interface, data interpretation, and coaching behavior will evolve. The priority is to make the product more useful, dependable, and clear without overstating what it can do.
Fred the Coach
Bring health, training, recovery, and progress into a private view built for practical understanding.