Fitness

Read honest journal-tag correlations over the last 90 days: 'on days tagged X, your sleep / resting HR / HRV averaged Y vs Z' with sample sizes. Statistics, not causal claims, needs enough tagged days to report anything (ready=false otherwise). The tags come from the user's private Journal and only entries they shared with AI are included (journalEntriesWithheld counts the rest): report the correlation itself and never quote, expand on, or speculate about what was written behind a tag.

No input.

Read the fitness dashboard: profile with goals and units, 12 weeks of daily summaries, recent workouts with sets, routines, sleep sessions, measurements, PRs, hydration, and gear.

No input.

Read server-computed daily insights: today's readiness score with band and disclosed component weights, a training prescription for today, weekly WHO-style intensity minutes vs the 150 target, and training load (fitness/fatigue/form). Quote these numbers instead of re-deriving them.

No input.

Read a year-in-review recap: workout count, total minutes and distance, strength sets, PR count, active days, total steps, and top activity for a given year.

Read a year of slim daily series (steps, energy, exercise/zone minutes, sleep, resting HR, HRV, VO2max) plus weight history, for trend questions like 'is my resting HR improving'.

No input.

Log a workout the user describes ('I ran 5k in 28 minutes this morning'). Provide durationSec or endedAt. For strength workouts include exercises with sets; mark warm-ups with setType 'warmup' (excluded from PRs). PRs are detected automatically. Include record.id to correct a previously logged workout.

{
  "record": {
    "activityType": "running",
    "title": "Morning 5K",
    "startedAt": "2026-09-26T07:05:00-05:00",
    "durationSec": 1680,
    "distanceM": 5000
  }
}

Log a sleep session ('I slept 11pm to 7am'). Wake time must be after bed time. Include record.id to correct a previously logged session.

{
  "record": {
    "startedAt": "2026-09-25T23:10:00-05:00",
    "endedAt": "2026-09-26T06:50:00-05:00",
    "qualityRating": 4
  }
}

Log a body measurement. SI units: kg for weight/lean_mass, cm for lengths, percent for body_fat. Include record.id to correct a previously logged measurement.

Note: SI units: kg for weight and lean mass, cm for lengths, percent for body fat.

{
  "record": {
    "type": "weight",
    "value": 78.4,
    "measuredAt": "2026-09-26T07:30:00-05:00"
  }
}

Log water the user drank, in milliliters.

{
  "volumeMl": 500
}

Set the user's manual daily activity totals (steps, exercise minutes, active energy, distance, mindful minutes). Values REPLACE the day's manual entry: read the dashboard first when adjusting.

Note: Values replace the day's manual entry; read the dashboard first when adjusting.

{
  "date": "2026-09-25",
  "steps": 9420,
  "exerciseMinutes": 35
}

Log a meal's nutrition totals (calories, protein, carbs, fat), light totals only, not a food database. At least one value must be > 0. Each call creates a new log entry that rolls into the day's totals.

{
  "name": "Chicken burrito bowl",
  "mealType": "lunch",
  "kcal": 720,
  "proteinG": 48,
  "carbsG": 70,
  "fatG": 24
}