Private, data-informed fitness coaching

Your training, recovery, and progress—understood together.

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

One connected health and training history

Coaching informed by personal context

Private, account-based experience

Fitness data is everywhere.
Understanding is not.

Useful signals often live in isolation. Fred is designed to connect them, giving each workout and recovery decision the history around it.

  • 01

    Health data lives across separate apps and daily summaries.

  • 02

    Workouts are recorded without the recovery context around them.

  • 03

    Trends are difficult to interpret through day-to-day variation.

  • 04

    Generic coaching advice does not know your personal history.

  • 05

    Small but meaningful changes are easy to miss over time.

Built around the questions that matter.

Every view has a practical job: understand today, review the work, notice change, and carry useful context into the next decision.

Daily health and readiness

Bring sleep, movement, recovery signals, and recent training together before deciding how hard to push.

Workout and strength tracking

Review exercises, sets, volume, records, and strength development while keeping the rest of your fitness history close.

Progress and trend analysis

Compare time periods and see longer patterns across training, activity, body measures, sleep, and recovery.

AI coaching with personal context

Ask questions using your own recent data and recorded history as context. Fred’s role is to help you reason—not replace your judgment.

Apple Health synchronization

Use a private integration token to synchronize relevant Apple Health metrics and workouts into your account.

Nutrition and recovery context

View nutrition-related signals alongside sleep, activity, and training instead of treating each input as a separate score.

Training reviews

Use structured reviews to look back on recent activity, recovery, workout balance, and the quality of available data.

Long-term history

Keep daily entries, workout progress, conversations, and trends connected over time. The goal is continuity—not another disposable daily score.

A day with Fred.

Fred fits around the data and habits you already have. The value builds as daily context becomes a useful history.

See example questions
  1. Morning

    Recent Apple Health data syncs

    Health and activity signals arrive through the account’s private integration.

  2. Context

    Fred summarizes recovery and readiness

    Recent sleep, movement, health signals, and training load become one daily picture.

  3. Training

    You log or review your workout

    Exercises and sets add training detail to the day rather than living in isolation.

  4. Review

    The workout meets its context

    Fred can relate training to the recovery and activity information around it.

  5. Over time

    Trends and progress update

    Repeated observations form a longer view of strength, consistency, and recovery.

  6. Any time

    You ask questions using your history

    Coaching conversations can draw on the personal context already in Fred.

Start with a question.
Bring your history.

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?

A place for today.
A record for the long term.

01

Today

Your immediate health, activity, training, and recovery context.

02

Progress

Changes in key measures and performance across useful time periods.

03

Trends

Health patterns, strength development, volume, and training comparisons.

04

Review

A structured look back at recent training, recovery, and data quality.

05

Coach

Conversations grounded in the history and context available in your account.

06

Sync status

Visibility into metric sources, recent synchronization, and data availability.

07

Usage

A practical view of model usage and the cost associated with coaching requests.

08

Account settings

Private integration, session, password, preference, and account controls.

Personal fitness data should stay personal.

Fred is built around private accounts and personal context—not public profiles, feeds, or social competition.

Private, account-based access

Your views and coaching context sit behind authentication rather than a public profile.

HTTPS in transit

The production web app is served over HTTPS so browser traffic is sent through a secure connection.

Private integration tokens

Connected integrations use private tokens associated with an account. Tokens should be handled like passwords.

Personal context, not social features

The product is designed to help an individual understand their own history, without public leaderboards or engagement mechanics.

Useful first.
Finished later.

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.

See your fitness data as one connected story.

Bring health, training, recovery, and progress into a private view built for practical understanding.