Merge pull request #534 from MBombeck/release/v1.30.10

release/v1.30.10 — localized correlation insights + richer workout detail
2026-11-08 12:32:43 +00:00 · 2026-07-18 16:25:51 +02:00
commit 74891e95f4
@@ -2,6 +2,15 @@

 ## [Unreleased]

+## [1.30.10] — 2026-07-18
+
+Localized insight text, and a richer workout view.
+
+- **Correlation insights now read in your language.** The "this tends to go with that — a pattern worth watching, not a cause" lines under a metric were always written in English; they now render in your interface language (German, Spanish, French, Italian, Polish), with the association-not-causation framing preserved in each.
+- **A workout you open shows more of what was recorded.** The detail view now draws the session's heart-rate curve over time, its route as a clean line, the time spent in each effort zone, per-kilometre splits, and how it compares to your own average for that sport — all from data already synced, with no new connection. Anything a given workout didn't record simply isn't shown.
+
+No migration. No breaking changes.
+
 ## [1.30.9] — 2026-07-18

 Faster dashboard first load.
@@ -1,7 +1,7 @@
 openapi: 3.1.0
 info:
  title: HealthLog API
-  version: 1.30.9
+  version: 1.30.10
  description: >-
    Self-hosted personal-health-tracking PWA — public API surface for the iOS native client and external ingest.

@@ -2668,14 +2668,23 @@ paths:
        - Measurements
      summary: Workout detail (v1.4.32)
      description: Single-workout envelope. Owns the optional `WorkoutRoute` GeoJSON geometry + `canonicalId` pointer that
-        resolves to the cluster winner so deep-links into non-canonical twin rows can redirect cleanly. Cross-user rows
-        surface as 404 (existence channel sealed).
+        resolves to the cluster winner so deep-links into non-canonical twin rows can redirect cleanly. Additive
+        enrichment fields (`hrSeries`, `zones`, `splits`, `sportContext`, reserved `aiInsight`) are computed
+        server-side. `compact=1` (sent by the web client) drops the raw `samples.samples` HR blob and
+        `route.sampleTimestamps` array from the response; without it the payload is byte-identical to the v1.4.32
+        contract. Cross-user rows surface as 404 (existence channel sealed).
      parameters:
        - in: path
          name: id
          schema:
            type: string
          required: true
+        - in: query
+          name: compact
+          schema:
+            type: string
+            enum:
+              - "1"
      responses:
        "200":
          description: Workout detail.
@@ -17429,6 +17438,10 @@ components:
          anyOf:
            - type: string
            - type: "null"
+        hasRoute:
+          type: boolean
+        hasHrSeries:
+          type: boolean
      required:
        - id
        - sportType
@@ -17441,6 +17454,8 @@ components:
        - maxHr
        - source
        - externalId
+        - hasRoute
+        - hasHrSeries
      additionalProperties: false
    GetWorkoutResponse:
      type: object
@@ -17553,6 +17568,26 @@ components:
          anyOf:
            - $ref: "#/components/schemas/WorkoutHrSeries"
            - type: "null"
+        hrSeries:
+          anyOf:
+            - $ref: "#/components/schemas/WorkoutHrCurve"
+            - type: "null"
+        zones:
+          anyOf:
+            - $ref: "#/components/schemas/WorkoutZones"
+            - type: "null"
+        splits:
+          anyOf:
+            - type: array
+              items:
+                $ref: "#/components/schemas/WorkoutSplit"
+            - type: "null"
+        sportContext:
+          anyOf:
+            - $ref: "#/components/schemas/WorkoutSportContext"
+            - type: "null"
+        aiInsight:
+          type: "null"
        canonicalId:
          type: string
      required:
@@ -17574,6 +17609,11 @@ components:
        - metadata
        - route
        - samples
+        - hrSeries
+        - zones
+        - splits
+        - sportContext
+        - aiInsight
        - canonicalId
      additionalProperties: false
    WorkoutRouteGeometry:
@@ -17602,6 +17642,150 @@ components:
        - sampleCount
        - samples
      additionalProperties: false
+    WorkoutHrCurve:
+      type: object
+      properties:
+        source:
+          type: string
+          enum:
+            - workout_series
+            - pulse_window
+        bucketSec:
+          type: integer
+          exclusiveMinimum: 0
+          maximum: 9007199254740991
+        points:
+          type: array
+          items:
+            type: object
+            properties:
+              tSec:
+                type: integer
+                minimum: 0
+                maximum: 9007199254740991
+              mean:
+                type: integer
+                minimum: -9007199254740991
+                maximum: 9007199254740991
+              min:
+                type: integer
+                minimum: -9007199254740991
+                maximum: 9007199254740991
+              max:
+                type: integer
+                minimum: -9007199254740991
+                maximum: 9007199254740991
+            required:
+              - tSec
+              - mean
+              - min
+              - max
+            additionalProperties: false
+        envelope:
+          type: boolean
+      required:
+        - source
+        - bucketSec
+        - points
+        - envelope
+      additionalProperties: false
+    WorkoutZones:
+      type: object
+      properties:
+        model:
+          type: string
+          enum:
+            - whoop
+            - tanaka
+        hrMax:
+          anyOf:
+            - type: integer
+              minimum: -9007199254740991
+              maximum: 9007199254740991
+            - type: "null"
+        zones:
+          type: array
+          items:
+            type: object
+            properties:
+              zone:
+                type: integer
+                minimum: 1
+                maximum: 5
+              lowBpm:
+                anyOf:
+                  - type: integer
+                    minimum: -9007199254740991
+                    maximum: 9007199254740991
+                  - type: "null"
+              highBpm:
+                anyOf:
+                  - type: integer
+                    minimum: -9007199254740991
+                    maximum: 9007199254740991
+                  - type: "null"
+              seconds:
+                type: integer
+                minimum: 0
+                maximum: 9007199254740991
+            required:
+              - zone
+              - lowBpm
+              - highBpm
+              - seconds
+            additionalProperties: false
+      required:
+        - model
+        - hrMax
+        - zones
+      additionalProperties: false
+    WorkoutSplit:
+      type: object
+      properties:
+        km:
+          type: integer
+          exclusiveMinimum: 0
+          maximum: 9007199254740991
+        durationSec:
+          type: integer
+          minimum: 0
+          maximum: 9007199254740991
+        paceSecPerKm:
+          type: integer
+          minimum: 0
+          maximum: 9007199254740991
+      required:
+        - km
+        - durationSec
+        - paceSecPerKm
+      additionalProperties: false
+    WorkoutSportContext:
+      type: object
+      properties:
+        count:
+          type: integer
+          minimum: 0
+          maximum: 9007199254740991
+        avgDurationSec:
+          type: integer
+          minimum: 0
+          maximum: 9007199254740991
+        avgDistanceM:
+          anyOf:
+            - type: number
+            - type: "null"
+        avgAvgHr:
+          anyOf:
+            - type: integer
+              minimum: -9007199254740991
+              maximum: 9007199254740991
+            - type: "null"
+      required:
+        - count
+        - avgDurationSec
+        - avgDistanceM
+        - avgAvgHr
+      additionalProperties: false
    BatchWorkoutsResponse:
      type: object
      properties:
@@ -109,6 +109,8 @@ const eslintConfig = defineConfig([
      "src/components/medications/dose-strength-curve.tsx",
      "src/components/medications/drug-level-chart.tsx",
      "src/components/mental-health/assessment-history-chart.tsx",
+      "src/components/charts/workout-hr-chart.tsx",
+      "src/components/charts/workout-elevation-chart.tsx",
    ],
    rules: {
      "no-restricted-imports": [
@@ -1979,6 +1979,61 @@
    "notAvailableForCompliance": "Vergleich für Therapietreue nicht verfügbar"
  },
  "insights": {
+    "correlation": {
+      "direction": {
+        "higher": "höher",
+        "lower": "niedriger"
+      },
+      "weekdayDirection": {
+        "above": "über",
+        "below": "unter"
+      },
+      "channelFactor": "die Bewertung von {factor}",
+      "channel": {
+        "WEIGHT": "das Gewicht",
+        "BLOOD_GLUCOSE": "der Blutzucker",
+        "BLOOD_PRESSURE_SYS": "der systolische Blutdruck",
+        "BLOOD_PRESSURE_DIA": "der diastolische Blutdruck",
+        "ACTIVITY_STEPS": "die tägliche Schrittzahl",
+        "SLEEP_DURATION": "die Schlafdauer",
+        "HEART_RATE_VARIABILITY": "die Herzratenvariabilität",
+        "RESTING_HEART_RATE": "die Ruheherzfrequenz",
+        "TIME_IN_DAYLIGHT": "die Zeit im Tageslicht",
+        "MOOD": "die Stimmung",
+        "PULSE": "der Ruhepuls",
+        "MEDICATION_COMPLIANCE": "die Medikamententreue",
+        "SYMPTOM_SEVERITY": "die Symptomstärke",
+        "ENV_TEMP_MEAN": "die Tagestemperatur",
+        "ENV_TEMP_MIN": "die nächtliche Tiefsttemperatur",
+        "ENV_SUNSHINE": "der Sonnenschein",
+        "ENV_DAYLIGHT": "das Tageslicht",
+        "ENV_PRECIP": "der Niederschlag",
+        "ENV_PRESSURE_MEAN": "der Luftdruck",
+        "ENV_PRESSURE_DELTA": "die Luftdruckschwankung am Tag"
+      },
+      "daily": {
+        "high": "Wenn {behaviour} höher liegt, fällt {outcome} am Folgetag in deinen Daten tendenziell {direction} aus — ein Muster, das Beachtung verdient, keine Ursache.",
+        "moderate": "Wenn {behaviour} höher liegt, scheint {outcome} am Folgetag nach bisheriger Datenlage eher {direction} auszufallen — ein Muster, das Beachtung verdient, keine Ursache.",
+        "faint": "Wenn {behaviour} höher liegt, gibt es in deinen Daten allenfalls einen schwachen Hinweis darauf, dass {outcome} am Folgetag {direction} ausfällt — zu gering, um sich darauf zu verlassen, niemals eine Ursache."
+      },
+      "lab": {
+        "default": "Höhere {lab}-Werte gehen in deinen Daten damit einher, dass {outcome} im selben Zeitraum {direction} ausfällt — ein Zusammenhang, den du ärztlich im Blick behalten solltest, niemals eine Ursache.",
+        "faint": "Höhere {lab}-Werte deuten in deinen Daten allenfalls schwach darauf hin, dass {outcome} im selben Zeitraum {direction} ausfällt — zu gering, um sich darauf zu verlassen, ein Zusammenhang, den du ärztlich abklären lassen solltest, niemals eine Ursache."
+      },
+      "hypothesis": {
+        "bpCompliance": {
+          "support": "Höhere Medikamententreue geht mit niedrigeren systolischen Werten einher — ein Muster, das Beachtung verdient.",
+          "surprising": "Medikamententreue und systolischer Wert bewegen sich in deinen Daten gemeinsam — überraschend; sprich mit deiner Ärztin oder deinem Arzt, bevor du etwas änderst.",
+          "none": "Medikamententreue und systolischer Wert bewegen sich in diesem Zeitraum nicht deutlich gemeinsam."
+        },
+        "moodPulse": {
+          "support": "Tage mit schlechterer Stimmung gehen mit höherem Ruhepuls einher — ein Muster, das Beachtung verdient.",
+          "surprising": "Tage mit besserer Stimmung gehen in deinen Daten mit höherem Ruhepuls einher — überraschend.",
+          "none": "Stimmung und Ruhepuls bewegen sich in diesem Zeitraum nicht deutlich gemeinsam."
+        },
+        "weightWeekday": "Das Gewicht am {weekday} liegt {delta} kg {direction} deinem Durchschnitt der übrigen Tage — ein Muster, das Beachtung verdient."
+      }
+    },
    "emptyTitle": "Noch nicht genug Daten",
    "emptyDescription": "Insights erscheinen, sobald du ein paar Messwerte erfasst hast. Beginne mit Gewicht oder Blutdruck.",
    "emptyAddMeasurement": "Messwert erfassen",
@@ -2934,7 +2989,24 @@
        "hrChartTitle": "Herzfrequenz",
        "hrChartUnavailable": "Sekundengenaue Herzfrequenz-Werte werden für dieses Workout nicht gespeichert.",
        "notFound": "Workout nicht gefunden.",
-        "loading": "Workout wird geladen…"
+        "loading": "Workout wird geladen…",
+        "hrFromPulse": "Aus deinen Herzfrequenzdaten rund um diese Einheit",
+        "hrAxisMinutes": "Min.",
+        "sportAverageLabel": "Dein aktueller Durchschnitt:",
+        "zonesTitle": "Belastungszonen",
+        "zonesCaption": "Wie sich deine Belastung auf die Herzfrequenzzonen verteilt hat.",
+        "zonesCaptionDevice": "Zeit pro Zone laut deinem Gerät.",
+        "exportGpx": "GPX exportieren",
+        "elevationTitle": "Höhe",
+        "splitsTitle": "Kilometerzeiten",
+        "splitsKm": "km",
+        "splitsTime": "Zeit",
+        "splitsPace": "Tempo",
+        "thatDayTitle": "An diesem Tag",
+        "dayPulse": "Puls",
+        "daySleep": "Schlaf",
+        "dayMood": "Stimmung",
+        "insightTitle": "Aktivitäts-Einblick"
      },
      "sport": {
        "walking": "Gehen",
@@ -1979,6 +1979,61 @@
    "notAvailableForCompliance": "Comparison N/A for adherence"
  },
  "insights": {
+    "correlation": {
+      "direction": {
+        "higher": "higher",
+        "lower": "lower"
+      },
+      "weekdayDirection": {
+        "above": "above",
+        "below": "below"
+      },
+      "channelFactor": "rated {factor}",
+      "channel": {
+        "WEIGHT": "weight",
+        "BLOOD_GLUCOSE": "blood glucose",
+        "BLOOD_PRESSURE_SYS": "systolic blood pressure",
+        "BLOOD_PRESSURE_DIA": "diastolic blood pressure",
+        "ACTIVITY_STEPS": "daily steps",
+        "SLEEP_DURATION": "sleep duration",
+        "HEART_RATE_VARIABILITY": "heart-rate variability",
+        "RESTING_HEART_RATE": "resting heart rate",
+        "TIME_IN_DAYLIGHT": "time in daylight",
+        "MOOD": "mood",
+        "PULSE": "resting pulse",
+        "MEDICATION_COMPLIANCE": "medication compliance",
+        "SYMPTOM_SEVERITY": "symptom severity",
+        "ENV_TEMP_MEAN": "daily temperature",
+        "ENV_TEMP_MIN": "overnight low temperature",
+        "ENV_SUNSHINE": "sunshine",
+        "ENV_DAYLIGHT": "daylight",
+        "ENV_PRECIP": "precipitation",
+        "ENV_PRESSURE_MEAN": "barometric pressure",
+        "ENV_PRESSURE_DELTA": "intraday pressure swing"
+      },
+      "daily": {
+        "high": "Higher {behaviour} tends to go with {direction} next-day {outcome} in your data — a pattern worth watching, not a cause.",
+        "moderate": "Higher {behaviour} looks like it goes with {direction} next-day {outcome} in your data, on the evidence so far — a pattern worth watching, not a cause.",
+        "faint": "Higher {behaviour} shows a faint hint, if anything, of {direction} next-day {outcome} in your data — too small to lean on, never a cause."
+      },
+      "lab": {
+        "default": "Higher {lab} readings line up with {direction} {outcome} over the same periods in your data — an association worth watching with your clinician, never a cause.",
+        "faint": "Higher {lab} readings show a faint hint, if anything, of {direction} {outcome} over the same periods in your data — too small to lean on, an association to raise with your clinician, never a cause."
+      },
+      "hypothesis": {
+        "bpCompliance": {
+          "support": "Higher medication compliance lines up with lower systolic readings — a pattern worth watching.",
+          "surprising": "Compliance and systolic move together in your data — surprising; talk to your doctor before adjusting anything.",
+          "none": "Compliance and systolic do not move together strongly in this window."
+        },
+        "moodPulse": {
+          "support": "Lower-mood days line up with higher resting pulse — a pattern worth watching.",
+          "surprising": "Higher-mood days line up with higher resting pulse in your data — surprising.",
+          "none": "Mood and resting pulse do not move together strongly in this window."
+        },
+        "weightWeekday": "{weekday} weights run {delta} kg {direction} your other-day average — a pattern worth watching."
+      }
+    },
    "noAnalysisYet": "No assessment yet.",
    "assessmentPreparing": "Preparing your assessment…",
    "emptyTitle": "Not enough data yet",
@@ -2934,7 +2989,24 @@
        "hrChartTitle": "Heart rate",
        "hrChartUnavailable": "Per-second heart-rate samples are not stored for this workout.",
        "notFound": "Workout not found.",
-        "loading": "Loading workout…"
+        "loading": "Loading workout…",
+        "hrFromPulse": "From your heart-rate data around this session",
+        "hrAxisMinutes": "min",
+        "sportAverageLabel": "Your recent average:",
+        "zonesTitle": "Effort zones",
+        "zonesCaption": "How your effort was distributed across heart-rate zones.",
+        "zonesCaptionDevice": "Time in zone as reported by your device.",
+        "exportGpx": "Export GPX",
+        "elevationTitle": "Elevation",
+        "splitsTitle": "Splits",
+        "splitsKm": "km",
+        "splitsTime": "Time",
+        "splitsPace": "Pace",
+        "thatDayTitle": "That day",
+        "dayPulse": "Pulse",
+        "daySleep": "Sleep",
+        "dayMood": "Mood",
+        "insightTitle": "Activity insight"
      },
      "sport": {
        "walking": "Walking",
@@ -1979,6 +1979,61 @@
    "notAvailableForCompliance": "Comparación no disponible para el cumplimiento"
  },
  "insights": {
+    "correlation": {
+      "direction": {
+        "higher": "subir",
+        "lower": "bajar"
+      },
+      "weekdayDirection": {
+        "above": "por encima de",
+        "below": "por debajo de"
+      },
+      "channelFactor": "la valoración de {factor}",
+      "channel": {
+        "WEIGHT": "el peso",
+        "BLOOD_GLUCOSE": "la glucosa en sangre",
+        "BLOOD_PRESSURE_SYS": "la presión sistólica",
+        "BLOOD_PRESSURE_DIA": "la presión diastólica",
+        "ACTIVITY_STEPS": "los pasos diarios",
+        "SLEEP_DURATION": "la duración del sueño",
+        "HEART_RATE_VARIABILITY": "la variabilidad de la frecuencia cardíaca",
+        "RESTING_HEART_RATE": "la frecuencia cardíaca en reposo",
+        "TIME_IN_DAYLIGHT": "el tiempo con luz natural",
+        "MOOD": "el estado de ánimo",
+        "PULSE": "el pulso en reposo",
+        "MEDICATION_COMPLIANCE": "la adherencia a la medicación",
+        "SYMPTOM_SEVERITY": "la intensidad de los síntomas",
+        "ENV_TEMP_MEAN": "la temperatura diaria",
+        "ENV_TEMP_MIN": "la temperatura mínima nocturna",
+        "ENV_SUNSHINE": "las horas de sol",
+        "ENV_DAYLIGHT": "la luz natural",
+        "ENV_PRECIP": "las precipitaciones",
+        "ENV_PRESSURE_MEAN": "la presión atmosférica",
+        "ENV_PRESSURE_DELTA": "la variación de presión del día"
+      },
+      "daily": {
+        "high": "Cuando {behaviour} es mayor, {outcome} del día siguiente tiende a {direction} en tus datos — un patrón que conviene observar, no una causa.",
+        "moderate": "Cuando {behaviour} es mayor, {outcome} del día siguiente parece tender a {direction}, según los datos disponibles — un patrón que conviene observar, no una causa.",
+        "faint": "Cuando {behaviour} es mayor, apenas se insinúa —si acaso— que {outcome} del día siguiente tienda a {direction} en tus datos — demasiado leve para fiarse, nunca una causa."
+      },
+      "lab": {
+        "default": "Unos valores de {lab} más altos coinciden con que {outcome} tienda a {direction} en los mismos periodos de tus datos — una asociación que conviene vigilar con tu médico, nunca una causa.",
+        "faint": "Unos valores de {lab} más altos apenas insinúan —si acaso— que {outcome} tienda a {direction} en los mismos periodos de tus datos — demasiado leve para fiarse, una asociación que conviene comentar con tu médico, nunca una causa."
+      },
+      "hypothesis": {
+        "bpCompliance": {
+          "support": "Una mayor adherencia a la medicación coincide con valores sistólicos más bajos — un patrón que conviene observar.",
+          "surprising": "La adherencia y la sistólica se mueven juntas en tus datos — sorprendente; consulta con tu médico antes de cambiar nada.",
+          "none": "La adherencia y la sistólica no se mueven juntas de forma marcada en este periodo."
+        },
+        "moodPulse": {
+          "support": "Los días de peor ánimo coinciden con un pulso en reposo más alto — un patrón que conviene observar.",
+          "surprising": "Los días de mejor ánimo coinciden con un pulso en reposo más alto en tus datos — sorprendente.",
+          "none": "El ánimo y el pulso en reposo no se mueven juntos de forma marcada en este periodo."
+        },
+        "weightWeekday": "El peso de los {weekday} está {delta} kg {direction} tu media de los demás días — un patrón que conviene observar."
+      }
+    },
    "noAnalysisYet": "Aún no hay valoración.",
    "assessmentPreparing": "Preparando tu valoración…",
    "emptyTitle": "Aún no hay datos suficientes",
@@ -2934,7 +2989,24 @@
        "hrChartTitle": "Frecuencia cardíaca",
        "hrChartUnavailable": "Las muestras de frecuencia cardíaca por segundo no se almacenan para este entrenamiento.",
        "notFound": "Entrenamiento no encontrado.",
-        "loading": "Cargando entrenamiento…"
+        "loading": "Cargando entrenamiento…",
+        "hrFromPulse": "A partir de tus datos de frecuencia cardíaca en torno a esta sesión",
+        "hrAxisMinutes": "min",
+        "sportAverageLabel": "Tu promedio reciente:",
+        "zonesTitle": "Zonas de esfuerzo",
+        "zonesCaption": "Cómo se distribuyó tu esfuerzo entre las zonas de frecuencia cardíaca.",
+        "zonesCaptionDevice": "Tiempo por zona según tu dispositivo.",
+        "exportGpx": "Exportar GPX",
+        "elevationTitle": "Altitud",
+        "splitsTitle": "Parciales",
+        "splitsKm": "km",
+        "splitsTime": "Tiempo",
+        "splitsPace": "Ritmo",
+        "thatDayTitle": "Ese día",
+        "dayPulse": "Pulso",
+        "daySleep": "Sueño",
+        "dayMood": "Ánimo",
+        "insightTitle": "Análisis de la actividad"
      },
      "sport": {
        "walking": "Caminar",
@@ -1979,6 +1979,61 @@
    "notAvailableForCompliance": "Comparaison indisponible pour l’observance"
  },
  "insights": {
+    "correlation": {
+      "direction": {
+        "higher": "augmenter",
+        "lower": "diminuer"
+      },
+      "weekdayDirection": {
+        "above": "au-dessus de",
+        "below": "en dessous de"
+      },
+      "channelFactor": "l'évaluation de {factor}",
+      "channel": {
+        "WEIGHT": "le poids",
+        "BLOOD_GLUCOSE": "la glycémie",
+        "BLOOD_PRESSURE_SYS": "la pression systolique",
+        "BLOOD_PRESSURE_DIA": "la pression diastolique",
+        "ACTIVITY_STEPS": "le nombre de pas quotidien",
+        "SLEEP_DURATION": "la durée de sommeil",
+        "HEART_RATE_VARIABILITY": "la variabilité de la fréquence cardiaque",
+        "RESTING_HEART_RATE": "la fréquence cardiaque au repos",
+        "TIME_IN_DAYLIGHT": "le temps passé à la lumière du jour",
+        "MOOD": "l'humeur",
+        "PULSE": "le pouls au repos",
+        "MEDICATION_COMPLIANCE": "l'observance des médicaments",
+        "SYMPTOM_SEVERITY": "la sévérité des symptômes",
+        "ENV_TEMP_MEAN": "la température quotidienne",
+        "ENV_TEMP_MIN": "la température minimale nocturne",
+        "ENV_SUNSHINE": "l'ensoleillement",
+        "ENV_DAYLIGHT": "la lumière du jour",
+        "ENV_PRECIP": "les précipitations",
+        "ENV_PRESSURE_MEAN": "la pression atmosphérique",
+        "ENV_PRESSURE_DELTA": "la variation de pression sur la journée"
+      },
+      "daily": {
+        "high": "Quand {behaviour} monte, {outcome} du lendemain tend à {direction} dans tes données — une tendance à surveiller, pas une cause.",
+        "moderate": "Quand {behaviour} monte, {outcome} du lendemain semble avoir tendance à {direction}, au vu des données actuelles — une tendance à surveiller, pas une cause.",
+        "faint": "Quand {behaviour} monte, tout au plus se dessine un faible indice que {outcome} du lendemain tende à {direction} dans tes données — trop ténu pour s'y fier, jamais une cause."
+      },
+      "lab": {
+        "default": "Des valeurs de {lab} plus élevées vont de pair avec {outcome} qui tend à {direction} sur les mêmes périodes dans tes données — une association à surveiller avec ton médecin, jamais une cause.",
+        "faint": "Des valeurs de {lab} plus élevées laissent tout au plus entrevoir que {outcome} tende à {direction} sur les mêmes périodes dans tes données — trop ténu pour s'y fier, une association à évoquer avec ton médecin, jamais une cause."
+      },
+      "hypothesis": {
+        "bpCompliance": {
+          "support": "Une meilleure observance des médicaments va de pair avec des valeurs systoliques plus basses — une tendance à surveiller.",
+          "surprising": "L'observance et la systolique évoluent ensemble dans tes données — surprenant ; parles-en à ton médecin avant de changer quoi que ce soit.",
+          "none": "L'observance et la systolique n'évoluent pas nettement ensemble sur cette période."
+        },
+        "moodPulse": {
+          "support": "Les jours de moral plus bas vont de pair avec un pouls au repos plus élevé — une tendance à surveiller.",
+          "surprising": "Les jours de meilleur moral vont de pair avec un pouls au repos plus élevé dans tes données — surprenant.",
+          "none": "L'humeur et le pouls au repos n'évoluent pas nettement ensemble sur cette période."
+        },
+        "weightWeekday": "Le poids du {weekday} est {delta} kg {direction} ta moyenne des autres jours — une tendance à surveiller."
+      }
+    },
    "noAnalysisYet": "Pas encore d’évaluation.",
    "assessmentPreparing": "Préparation de votre évaluation…",
    "emptyTitle": "Pas encore assez de données",
@@ -2934,7 +2989,24 @@
        "hrChartTitle": "Fréquence cardiaque",
        "hrChartUnavailable": "Les échantillons de fréquence cardiaque à la seconde ne sont pas stockés pour cet entraînement.",
        "notFound": "Entraînement introuvable.",
-        "loading": "Chargement de l'entraînement…"
+        "loading": "Chargement de l'entraînement…",
+        "hrFromPulse": "À partir de vos données de fréquence cardiaque autour de cette séance",
+        "hrAxisMinutes": "min",
+        "sportAverageLabel": "Votre moyenne récente :",
+        "zonesTitle": "Zones d'effort",
+        "zonesCaption": "Répartition de votre effort entre les zones de fréquence cardiaque.",
+        "zonesCaptionDevice": "Temps par zone indiqué par votre appareil.",
+        "exportGpx": "Exporter le GPX",
+        "elevationTitle": "Dénivelé",
+        "splitsTitle": "Temps par kilomètre",
+        "splitsKm": "km",
+        "splitsTime": "Temps",
+        "splitsPace": "Allure",
+        "thatDayTitle": "Ce jour-là",
+        "dayPulse": "Pouls",
+        "daySleep": "Sommeil",
+        "dayMood": "Humeur",
+        "insightTitle": "Analyse de l'activité"
      },
      "sport": {
        "walking": "Marche",
@@ -1979,6 +1979,61 @@
    "notAvailableForCompliance": "Confronto non disponibile per l’aderenza"
  },
  "insights": {
+    "correlation": {
+      "direction": {
+        "higher": "salire",
+        "lower": "scendere"
+      },
+      "weekdayDirection": {
+        "above": "sopra",
+        "below": "sotto"
+      },
+      "channelFactor": "la valutazione di {factor}",
+      "channel": {
+        "WEIGHT": "il peso",
+        "BLOOD_GLUCOSE": "la glicemia",
+        "BLOOD_PRESSURE_SYS": "la pressione sistolica",
+        "BLOOD_PRESSURE_DIA": "la pressione diastolica",
+        "ACTIVITY_STEPS": "i passi giornalieri",
+        "SLEEP_DURATION": "la durata del sonno",
+        "HEART_RATE_VARIABILITY": "la variabilità della frequenza cardiaca",
+        "RESTING_HEART_RATE": "la frequenza cardiaca a riposo",
+        "TIME_IN_DAYLIGHT": "il tempo alla luce del giorno",
+        "MOOD": "l'umore",
+        "PULSE": "il polso a riposo",
+        "MEDICATION_COMPLIANCE": "l'aderenza ai farmaci",
+        "SYMPTOM_SEVERITY": "la gravità dei sintomi",
+        "ENV_TEMP_MEAN": "la temperatura giornaliera",
+        "ENV_TEMP_MIN": "la temperatura minima notturna",
+        "ENV_SUNSHINE": "il soleggiamento",
+        "ENV_DAYLIGHT": "la luce del giorno",
+        "ENV_PRECIP": "le precipitazioni",
+        "ENV_PRESSURE_MEAN": "la pressione atmosferica",
+        "ENV_PRESSURE_DELTA": "l'oscillazione di pressione nella giornata"
+      },
+      "daily": {
+        "high": "Quando {behaviour} sale, {outcome} del giorno dopo tende a {direction} nei tuoi dati — un andamento da osservare, non una causa.",
+        "moderate": "Quando {behaviour} sale, {outcome} del giorno dopo sembra tendere a {direction}, per quanto emerge finora — un andamento da osservare, non una causa.",
+        "faint": "Quando {behaviour} sale, al più si intravede un debole indizio che {outcome} del giorno dopo tenda a {direction} nei tuoi dati — troppo lieve per farci affidamento, mai una causa."
+      },
+      "lab": {
+        "default": "Valori di {lab} più alti si accompagnano al fatto che {outcome} tende a {direction} negli stessi periodi dei tuoi dati — un'associazione da tenere d'occhio con il tuo medico, mai una causa.",
+        "faint": "Valori di {lab} più alti lasciano al più intravedere che {outcome} tenda a {direction} negli stessi periodi dei tuoi dati — troppo lieve per farci affidamento, un'associazione da discutere con il tuo medico, mai una causa."
+      },
+      "hypothesis": {
+        "bpCompliance": {
+          "support": "Una maggiore aderenza ai farmaci si accompagna a valori sistolici più bassi — un andamento da osservare.",
+          "surprising": "L'aderenza e la sistolica si muovono insieme nei tuoi dati — sorprendente; parlane con il tuo medico prima di modificare qualcosa.",
+          "none": "L'aderenza e la sistolica non si muovono insieme in modo marcato in questo periodo."
+        },
+        "moodPulse": {
+          "support": "I giorni di umore più basso si accompagnano a un polso a riposo più alto — un andamento da osservare.",
+          "surprising": "I giorni di umore migliore si accompagnano a un polso a riposo più alto nei tuoi dati — sorprendente.",
+          "none": "L'umore e il polso a riposo non si muovono insieme in modo marcato in questo periodo."
+        },
+        "weightWeekday": "Il peso del {weekday} è {delta} kg {direction} la tua media degli altri giorni — un andamento da osservare."
+      }
+    },
    "noAnalysisYet": "Ancora nessuna valutazione.",
    "assessmentPreparing": "Preparazione della valutazione…",
    "emptyTitle": "Dati ancora insufficienti",
@@ -2934,7 +2989,24 @@
        "hrChartTitle": "Frequenza cardiaca",
        "hrChartUnavailable": "I campioni di frequenza cardiaca al secondo non vengono salvati per questo allenamento.",
        "notFound": "Allenamento non trovato.",
-        "loading": "Caricamento allenamento…"
+        "loading": "Caricamento allenamento…",
+        "hrFromPulse": "Dai tuoi dati di frequenza cardiaca intorno a questa sessione",
+        "hrAxisMinutes": "min",
+        "sportAverageLabel": "La tua media recente:",
+        "zonesTitle": "Zone di sforzo",
+        "zonesCaption": "Come si è distribuito il tuo sforzo tra le zone di frequenza cardiaca.",
+        "zonesCaptionDevice": "Tempo per zona riportato dal tuo dispositivo.",
+        "exportGpx": "Esporta GPX",
+        "elevationTitle": "Dislivello",
+        "splitsTitle": "Parziali",
+        "splitsKm": "km",
+        "splitsTime": "Tempo",
+        "splitsPace": "Ritmo",
+        "thatDayTitle": "Quel giorno",
+        "dayPulse": "Battito",
+        "daySleep": "Sonno",
+        "dayMood": "Umore",
+        "insightTitle": "Analisi dell'attività"
      },
      "sport": {
        "walking": "Camminata",
@@ -1979,6 +1979,61 @@
    "notAvailableForCompliance": "Porównanie niedostępne dla przestrzegania"
  },
  "insights": {
+    "correlation": {
+      "direction": {
+        "higher": "wzrostu",
+        "lower": "spadku"
+      },
+      "weekdayDirection": {
+        "above": "powyżej",
+        "below": "poniżej"
+      },
+      "channelFactor": "ocena czynnika {factor}",
+      "channel": {
+        "WEIGHT": "waga",
+        "BLOOD_GLUCOSE": "poziom cukru we krwi",
+        "BLOOD_PRESSURE_SYS": "ciśnienie skurczowe",
+        "BLOOD_PRESSURE_DIA": "ciśnienie rozkurczowe",
+        "ACTIVITY_STEPS": "dzienna liczba kroków",
+        "SLEEP_DURATION": "długość snu",
+        "HEART_RATE_VARIABILITY": "zmienność rytmu serca",
+        "RESTING_HEART_RATE": "spoczynkowe tętno",
+        "TIME_IN_DAYLIGHT": "czas w świetle dziennym",
+        "MOOD": "nastrój",
+        "PULSE": "tętno spoczynkowe",
+        "MEDICATION_COMPLIANCE": "przyjmowanie leków",
+        "SYMPTOM_SEVERITY": "nasilenie objawów",
+        "ENV_TEMP_MEAN": "temperatura dobowa",
+        "ENV_TEMP_MIN": "nocna temperatura minimalna",
+        "ENV_SUNSHINE": "nasłonecznienie",
+        "ENV_DAYLIGHT": "światło dzienne",
+        "ENV_PRECIP": "opady",
+        "ENV_PRESSURE_MEAN": "ciśnienie atmosferyczne",
+        "ENV_PRESSURE_DELTA": "dobowa zmiana ciśnienia"
+      },
+      "daily": {
+        "high": "Gdy {behaviour} rośnie, {outcome} następnego dnia zwykle wykazuje tendencję do {direction} w Twoich danych — wzorzec wart obserwacji, nie przyczyna.",
+        "moderate": "Gdy {behaviour} rośnie, {outcome} następnego dnia wydaje się wykazywać tendencję do {direction}, na podstawie dostępnych danych — wzorzec wart obserwacji, nie przyczyna.",
+        "faint": "Gdy {behaviour} rośnie, w Twoich danych pojawia się co najwyżej słaba wskazówka, że {outcome} następnego dnia wykazuje tendencję do {direction} — zbyt słaba, by na niej polegać, nigdy przyczyna."
+      },
+      "lab": {
+        "default": "Wyższe wartości {lab} idą w parze z tym, że {outcome} wykazuje tendencję do {direction} w tych samych okresach w Twoich danych — zależność, którą warto obserwować z lekarzem, nigdy przyczyna.",
+        "faint": "Wyższe wartości {lab} co najwyżej słabo sugerują, że {outcome} wykazuje tendencję do {direction} w tych samych okresach w Twoich danych — zbyt słabo, by na tym polegać, zależność do omówienia z lekarzem, nigdy przyczyna."
+      },
+      "hypothesis": {
+        "bpCompliance": {
+          "support": "Lepsze przyjmowanie leków idzie w parze z niższymi wartościami skurczowymi — wzorzec wart obserwacji.",
+          "surprising": "Przyjmowanie leków i ciśnienie skurczowe zmieniają się razem w Twoich danych — zaskakujące; skonsultuj się z lekarzem, zanim coś zmienisz.",
+          "none": "Przyjmowanie leków i ciśnienie skurczowe nie zmieniają się wyraźnie razem w tym okresie."
+        },
+        "moodPulse": {
+          "support": "Dni z gorszym nastrojem idą w parze z wyższym tętnem spoczynkowym — wzorzec wart obserwacji.",
+          "surprising": "Dni z lepszym nastrojem idą w parze z wyższym tętnem spoczynkowym w Twoich danych — zaskakujące.",
+          "none": "Nastrój i tętno spoczynkowe nie zmieniają się wyraźnie razem w tym okresie."
+        },
+        "weightWeekday": "Waga w {weekday} jest {delta} kg {direction} Twojej średniej z pozostałych dni — wzorzec wart obserwacji."
+      }
+    },
    "noAnalysisYet": "Brak oceny.",
    "assessmentPreparing": "Przygotowywanie oceny…",
    "emptyTitle": "Jeszcze za mało danych",
@@ -2934,7 +2989,24 @@
        "hrChartTitle": "Tętno",
        "hrChartUnavailable": "Próbki tętna co sekundę nie są zapisywane dla tego treningu.",
        "notFound": "Nie znaleziono treningu.",
-        "loading": "Wczytywanie treningu…"
+        "loading": "Wczytywanie treningu…",
+        "hrFromPulse": "Na podstawie Twoich danych tętna z okolic tej sesji",
+        "hrAxisMinutes": "min",
+        "sportAverageLabel": "Twoja ostatnia średnia:",
+        "zonesTitle": "Strefy wysiłku",
+        "zonesCaption": "Jak Twój wysiłek rozłożył się na strefy tętna.",
+        "zonesCaptionDevice": "Czas w strefach według Twojego urządzenia.",
+        "exportGpx": "Eksportuj GPX",
+        "elevationTitle": "Wznios",
+        "splitsTitle": "Międzyczasy",
+        "splitsKm": "km",
+        "splitsTime": "Czas",
+        "splitsPace": "Tempo",
+        "thatDayTitle": "Tego dnia",
+        "dayPulse": "Tętno",
+        "daySleep": "Sen",
+        "dayMood": "Nastrój",
+        "insightTitle": "Analiza aktywności"
      },
      "sport": {
        "walking": "Marsz",
@@ -1,6 +1,6 @@
 {
  "name": "healthlog",
-  "version": "1.30.9",
+  "version": "1.30.10",
  "description": "Self-hosted personal-health-tracking PWA with Withings integration, AI insights, and doctor-report PDF export.",
  "license": "PolyForm-Noncommercial-1.0.0",
  "homepage": "https://healthlog.dev",
@@ -36,7 +36,7 @@ try {
 // v1.4.38.4 → v1.4.42. Do not hand-edit; bump `package.json` and rebuild.
 const CACHE_VERSION =
  (typeof self !== "undefined" && self.__APP_VERSION__) ||
-  /* @sw-version-fallback */ "v1.30.9";
+  /* @sw-version-fallback */ "v1.30.10";
 const STATIC_CACHE = `healthlog-static-${CACHE_VERSION}`;
 const PAGE_CACHE = `healthlog-pages-${CACHE_VERSION}`;
 // v1.18.6 — read-only data cache for a curated allowlist of safe GET `/api/*`
@@ -22,6 +22,8 @@ import { resolveRestMode } from "@/lib/illness/rest-mode";
 import { buildHealthScoreBpInputs } from "@/lib/analytics/health-score-inputs";
 import { deriveBpWindow90 } from "@/lib/analytics/window-confidence";
 import { computeCorrelationHypothesesFastPath } from "@/lib/analytics/correlations-fast-path";
+import { resolveServerLocale } from "@/lib/i18n/server-locale";
+import { type Locale } from "@/lib/i18n/config";
 import {
  computeGlucoseClinicalMetrics,
  GLUCOSE_PANEL_WINDOW_DAYS,
@@ -96,12 +98,18 @@ export const GET = apiHandler(async (request?: Request) => {
  // thick body is the 30-query chain feeding the dashboard + insights
  // hero score; after a measurement sync the next mount serves the
  // prior body instantly while one background recompute refreshes it.
+  // v1.30.10 — the `correlations` block carries user-facing narration that is
+  // localised per reader, so the cache key MUST include the locale; otherwise a
+  // language switch would serve another locale's cached interpretation for up to
+  // the TTL. Every other block is locale-independent, so per-locale entries only
+  // cost a little duplication (most users have one locale).
+  const locale = await resolveServerLocale({ userLocale: user.locale ?? null });
  const cachedBody = await cachedSwr(
    caches.analytics as ServerCache<
      Awaited<ReturnType<typeof buildAnalyticsResponse>>
    >,
-    `${user.id}|default`,
-    () => buildAnalyticsResponse(user),
+    `${user.id}|default|${locale}`,
+    () => buildAnalyticsResponse(user, locale),
    annotate,
  );

@@ -173,7 +181,7 @@ function enrichLastSeenDaysAgo<
 * matches the v1.4.33 snapshot LRU's `buildCoachSnapshot` →
 * `buildCoachSnapshotImpl` shape.
 */
-async function buildAnalyticsResponse(user: AuthedUser) {
+async function buildAnalyticsResponse(user: AuthedUser, locale: Locale) {
  // v1.4.37.1 hotfix — fire-and-forget the rollup-fresh check.
  // Awaiting it on the read path can stall the Node event loop for
  // 30–60 s on a power-user account whose iOS step samples keep the
@@ -405,6 +413,7 @@ async function buildAnalyticsResponse(user: AuthedUser) {
    userTz,
    now: new Date(),
    coverage,
+    locale,
  });

  // v1.4.20 phase B5 — Personal Health Score. Server-deterministic
@@ -21,6 +21,7 @@ import { annotate } from "@/lib/logging/context";
 import { checkAnalyticsReadRateLimit } from "@/lib/rate-limit";
 import { requireAssistantSurface } from "@/lib/feature-flags";
 import { requireModuleEnabled } from "@/lib/modules/gate";
+import { resolveServerLocale } from "@/lib/i18n/server-locale";
 import { prisma } from "@/lib/db";
 import { wallClockInTz } from "@/lib/tz/wall-clock";
 import type { MeasurementType } from "@/generated/prisma/client";
@@ -82,6 +83,11 @@ export const GET = apiHandler(async () => {
    select: { timezone: true },
  });
  const tz = profile?.timezone ?? "Europe/Berlin";
+  // Reader's locale for the narrated `interpretation` — the correlation cards
+  // render this string verbatim, so it MUST be localised (cookie / User.locale /
+  // Accept-Language). Without it the never-causal sentence leaked English into a
+  // non-English UI.
+  const locale = await resolveServerLocale({ userLocale: user.locale ?? null });
  const now = new Date();
  const since = new Date(now.getTime() - WINDOW_DAYS * MS_PER_DAY);

@@ -165,7 +171,7 @@ export const GET = apiHandler(async () => {
    series.push(envSeries);
  }

-  const result = discoverCorrelations(series);
+  const result = discoverCorrelations(series, { locale });

  // v1.22 — rolling early-detection pass over the trailing window, re-using
  // the already-built series (no extra DB read). Emerging pairs exclude anything
@@ -176,11 +182,14 @@ export const GET = apiHandler(async () => {
  );
  const emerging = discoverEmergingCorrelations(series, result, {
    recentFromDayKey,
+    locale,
  });

  // v1.22 — labs ↔ outcome pass (point-vs-window over sparse draws). Degrades
  // to absent when the user has too few draws to clear the per-pair floor.
-  const labCorrelations = discoverLabOutcomeCorrelations(labDraws, series);
+  const labCorrelations = discoverLabOutcomeCorrelations(labDraws, series, {
+    locale,
+  });

  annotate({
    action: { name: "insights.correlations.discover" },
@@ -30,13 +30,31 @@ import { apiError, apiSuccess } from "@/lib/api-response";
 import { annotate } from "@/lib/logging/context";
 import { pickCanonicalWorkoutRows } from "@/lib/measurements/pick-canonical-workout-rows";
 import { requireModuleEnabled } from "@/lib/modules/gate";
+import { getAgeFromDateOfBirth } from "@/lib/analytics/pulse-targets";
+import { buildWorkoutHrSeries } from "@/lib/workouts/hr-series";
+import {
+  computeZones,
+  hrMaxFromAge,
+  parseWhoopZoneDurations,
+} from "@/lib/workouts/zones";
+import { computeSplits } from "@/lib/workouts/splits";
+import type { RouteCoordinate } from "@/lib/workouts/route-svg";

 type RouteParams = { params: Promise<{ id: string }> };

+/** Own-history lookback for the sport-average comparison line. */
+const SPORT_CONTEXT_LOOKBACK_DAYS = 180;
+/** Slim-row cap for the sport-average read. */
+const SPORT_CONTEXT_MAX_ROWS = 500;
+
 export const GET = apiHandler(
-  async (_request: NextRequest, { params }: RouteParams) => {
+  async (request: NextRequest, { params }: RouteParams) => {
    const { user } = await requireAuth();
    const { id } = await params;
+    // Web always sends `compact=1` to drop the raw 30k-sample / route
+    // timestamp blobs. Absent the param the response is byte-identical to
+    // the v1.4.32 contract → iOS is untouched, no coordination ticket.
+    const compact = request.nextUrl.searchParams.get("compact") === "1";

    annotate({ action: { name: "workouts.detail" }, meta: { workoutId: id } });

@@ -98,7 +116,7 @@ export const GET = apiHandler(

    const userRow = await prisma.user.findUnique({
      where: { id: user.id },
-      select: { sourcePriorityJson: true },
+      select: { sourcePriorityJson: true, dateOfBirth: true },
    });
    const canonicalCluster = pickCanonicalWorkoutRows(
      clusterRows,
@@ -112,20 +130,82 @@ export const GET = apiHandler(
      canonicalCluster[0] ??
      null;

+    // ── Enrichment reads (all over existing tables — no migration) ────
+
+    // Heart-rate curve: stored series first, pulse-window fallback
+    // second, hide third. One server path, one DTO with provenance.
+    const hrSeries = await buildWorkoutHrSeries({
+      userId: user.id,
+      startedAt: row.startedAt,
+      endedAt: row.endedAt,
+      durationSec: row.durationSec,
+      storedSamples: row.samples?.samples ?? null,
+    });
+    annotate({
+      action: { name: "workouts.detail.hr_series" },
+      meta: {
+        source: hrSeries?.source ?? "none",
+        points: hrSeries?.points.length ?? 0,
+      },
+    });
+
+    // Effort zones: WHOOP device durations win; else %HRmax fold from
+    // the series when profile age exists; else null.
+    const ageYears = getAgeFromDateOfBirth(userRow?.dateOfBirth ?? null);
+    const zones = computeZones({
+      hrMax: hrMaxFromAge(ageYears),
+      series: hrSeries?.points ?? [],
+      bucketSec: hrSeries?.bucketSec ?? 0,
+      whoopZoneDurations: parseWhoopZoneDurations(row.metadata),
+    });
+
+    // Per-km splits computed server-side from the geometry + timestamps
+    // so the web client keeps dropping the raw timestamp blob under
+    // `compact=1` while still rendering splits (server-authoritative
+    // parity — iOS gets the same resolved figures).
+    const geometryCoords =
+      row.route &&
+      row.route.geometry &&
+      typeof row.route.geometry === "object" &&
+      Array.isArray(
+        (row.route.geometry as { coordinates?: unknown }).coordinates,
+      )
+        ? (row.route.geometry as { coordinates: RouteCoordinate[] }).coordinates
+        : null;
+    const splits =
+      geometryCoords && Array.isArray(row.route?.sampleTimestamps)
+        ? computeSplits(geometryCoords, row.route.sampleTimestamps as string[])
+        : null;
+
+    // Sport context: the user's own last-180-days average for this
+    // sport, cross-source-collapsed so twins don't double-count.
+    const sportContext = await buildSportContext(
+      user.id,
+      row.sportType,
+      userRow?.sourcePriorityJson ?? null,
+    );
+
    const route = row.route
      ? {
          geometry: row.route.geometry,
-          sampleTimestamps: row.route.sampleTimestamps ?? null,
+          // `compact=1` drops the (up to 20k-entry) timestamp array; the
+          // SVG needs geometry, not the per-sample timestamps, and the
+          // splits above are already derived from them server-side.
+          sampleTimestamps: compact
+            ? null
+            : (row.route.sampleTimestamps ?? null),
        }
      : null;

    // v1.10.0 — route-independent per-workout HR series. Present for
    // both indoor (no route) and outdoor workouts that shipped a
-    // `samples` array on ingest; null otherwise.
+    // `samples` array on ingest; null otherwise. `compact=1` keeps the
+    // denormalised count but drops the raw sample blob (the web curve
+    // reads `hrSeries` instead).
    const samples = row.samples
      ? {
          sampleCount: row.samples.sampleCount,
-          samples: row.samples.samples,
+          samples: compact ? null : row.samples.samples,
        }
      : null;

@@ -148,6 +228,17 @@ export const GET = apiHandler(
      metadata: row.metadata,
      route,
      samples,
+      // #67 enrichment — all additive, all over existing tables.
+      hrSeries,
+      zones,
+      splits,
+      sportContext,
+      // Reserved Activity-Insight seam (strategic-concept Wave C, bet 5):
+      // always null today. The Phase-2 pg-boss job writes a cached
+      // paragraph onto the workout row and maps it here — the detail page
+      // already composes `{aiInsight ? <card/> : null}`, so the card
+      // mounts with zero layout rework.
+      aiInsight: null,
      // v1.4.32 — when the requested id is a non-canonical twin the
      // caller can redirect to `canonicalId` to land on the cluster
      // winner. `canonicalId === id` when the requested row already
@@ -156,3 +247,64 @@ export const GET = apiHandler(
    });
  },
 );
+
+/**
+ * The user's own recent average for a sport — rendered as one muted
+ * comparison line. Cross-source twins are collapsed through
+ * `pickCanonicalWorkoutRows()` first so a run recorded by two paired
+ * watches counts once. Comparisons are to the user's own history only
+ * (non-diagnostic standard).
+ */
+async function buildSportContext(
+  userId: string,
+  sportType: string,
+  sourcePriorityJson: unknown,
+): Promise<{
+  count: number;
+  avgDurationSec: number;
+  avgDistanceM: number | null;
+  avgAvgHr: number | null;
+} | null> {
+  const since = new Date(
+    Date.now() - SPORT_CONTEXT_LOOKBACK_DAYS * 24 * 60 * 60 * 1000,
+  );
+  const rows = await prisma.workout.findMany({
+    where: { userId, sportType, startedAt: { gte: since } },
+    orderBy: [{ startedAt: "asc" }, { id: "asc" }],
+    take: SPORT_CONTEXT_MAX_ROWS,
+    select: {
+      id: true,
+      source: true,
+      startedAt: true,
+      sportType: true,
+      durationSec: true,
+      totalDistanceM: true,
+      avgHeartRate: true,
+    },
+  });
+  const canonical = pickCanonicalWorkoutRows(rows, sourcePriorityJson);
+  if (canonical.length === 0) return null;
+
+  let durationSum = 0;
+  let distanceSum = 0;
+  let distanceCount = 0;
+  let hrSum = 0;
+  let hrCount = 0;
+  for (const r of canonical) {
+    durationSum += r.durationSec;
+    if (r.totalDistanceM != null) {
+      distanceSum += r.totalDistanceM;
+      distanceCount += 1;
+    }
+    if (r.avgHeartRate != null) {
+      hrSum += r.avgHeartRate;
+      hrCount += 1;
+    }
+  }
+  return {
+    count: canonical.length,
+    avgDurationSec: Math.round(durationSum / canonical.length),
+    avgDistanceM: distanceCount > 0 ? distanceSum / distanceCount : null,
+    avgAvgHr: hrCount > 0 ? Math.round(hrSum / hrCount) : null,
+  };
+}
@@ -27,6 +27,9 @@ vi.mock("@/lib/db", () => ({
    user: {
      findUnique: vi.fn(),
    },
+    measurement: {
+      findMany: vi.fn(),
+    },
  },
 }));

@@ -103,7 +106,14 @@ describe("GET /api/workouts/{id}", () => {
    vi.mocked(getSession).mockResolvedValue(SESSION_OK as never);
    vi.mocked(prisma.user.findUnique).mockResolvedValue({
      sourcePriorityJson: null,
+      dateOfBirth: null,
    } as never);
+    // #67 — the enrichment reads: the HR-curve pulse-window fallback
+    // (`measurement.findMany`) and the sport-context average (a SECOND
+    // `workout.findMany`). Default both to empty; each test's
+    // `mockResolvedValueOnce` still wins for the cluster call.
+    vi.mocked(prisma.workout.findMany).mockResolvedValue([] as never);
+    vi.mocked(prisma.measurement.findMany).mockResolvedValue([] as never);
    // clearAllMocks wipes the factory default; re-seed the gate to pass.
    vi.mocked(requireModuleEnabled).mockResolvedValue({
      enabled: true,
@@ -208,6 +218,72 @@ describe("GET /api/workouts/{id}", () => {
    expect(body.data.canonicalId).toBe("w-apple");
  });

+  it("adds the #67 enrichment fields and strips raw blobs under compact=1", async () => {
+    const startMs = BASE_ROW.startedAt.getTime();
+    const storedSamples = Array.from({ length: 40 }, (_, i) => ({
+      t: new Date(startMs + i * 45_000).toISOString(),
+      hr: 140 + (i % 6),
+    }));
+    vi.mocked(prisma.workout.findUnique).mockResolvedValueOnce({
+      ...BASE_ROW,
+      // WHOOP device zones win → zones render even without profile age.
+      metadata: {
+        zoneDurations: {
+          zone_one_milli: 60_000,
+          zone_two_milli: 300_000,
+          zone_three_milli: 600_000,
+          zone_four_milli: 200_000,
+          zone_five_milli: 40_000,
+        },
+      },
+      route: {
+        id: "wr-1",
+        geometry: {
+          type: "LineString",
+          coordinates: [
+            [11, 49],
+            [11.01, 49.01],
+          ],
+        },
+        sampleTimestamps: ["2026-05-15T07:00:00Z", "2026-05-15T07:01:00Z"],
+        createdAt: BASE_ROW.createdAt,
+      },
+      samples: { sampleCount: storedSamples.length, samples: storedSamples },
+    } as never);
+    vi.mocked(prisma.workout.findMany).mockResolvedValueOnce([
+      {
+        id: "w-1",
+        source: "APPLE_HEALTH",
+        startedAt: BASE_ROW.startedAt,
+        sportType: "RUNNING",
+      },
+    ] as never);
+
+    const res = await GET(
+      new NextRequest("http://localhost/api/workouts/w-1?compact=1", {
+        method: "GET",
+      }),
+      makeParams("w-1"),
+    );
+    const body = await res.json();
+
+    expect(res.status).toBe(200);
+    // Stored series wins → provenance is the native workout series.
+    expect(body.data.hrSeries.source).toBe("workout_series");
+    expect(body.data.hrSeries.points.length).toBeGreaterThanOrEqual(2);
+    // WHOOP device zones.
+    expect(body.data.zones.model).toBe("whoop");
+    // Additive keys present; reserved seam is null.
+    expect(body.data).toHaveProperty("splits");
+    expect(body.data).toHaveProperty("sportContext");
+    expect(body.data.aiInsight).toBeNull();
+    // compact=1 drops the raw blobs but keeps count + geometry.
+    expect(body.data.samples.sampleCount).toBe(40);
+    expect(body.data.samples.samples).toBeNull();
+    expect(body.data.route.geometry).not.toBeNull();
+    expect(body.data.route.sampleTimestamps).toBeNull();
+  });
+
  it("exposes the WorkoutRoute geometry when present", async () => {
    const routeGeometry = {
      type: "LineString",
@@ -94,6 +94,10 @@ interface CanonicalWorkoutRow {
  avgHeartRate: number | null;
  maxHeartRate: number | null;
  createdAt: Date;
+  // #67 list glyphs — cheap relation-id selects so the list can flag
+  // which sessions open into a rich detail (map / HR curve).
+  route: { id: string } | null;
+  samples: { sampleCount: number } | null;
 }

 /** The cached, deduped, most-recent-first row set for one filter combination. */
@@ -115,6 +119,8 @@ interface WorkoutsResult {
    maxHr: number | null;
    source: string;
    externalId: string | null;
+    hasRoute: boolean;
+    hasHrSeries: boolean;
  }>;
  meta: {
    total: number;
@@ -169,6 +175,8 @@ async function buildWorkoutsProjection(
        avgHeartRate: true,
        maxHeartRate: true,
        createdAt: true,
+        route: { select: { id: true } },
+        samples: { select: { sampleCount: true } },
      },
    }),
    prisma.user.findUnique({
@@ -215,6 +223,8 @@ function sliceWorkoutsProjection(
      maxHr: row.maxHeartRate,
      source: row.source,
      externalId: row.externalId,
+      hasRoute: row.route != null,
+      hasHrSeries: row.samples != null && row.samples.sampleCount > 0,
    }));

  return {
@@ -11,22 +11,34 @@ import { BackLink } from "@/components/ui/back-link";
 import { CoachLaunchButton } from "@/components/insights/coach-launch-button";
 import { SubPageShell } from "@/components/insights/sub-page-shell";
 import { Skeleton } from "@/components/ui/skeleton";
+import { QueryErrorCard } from "@/components/ui/query-error-card";
 import {
  WorkoutDetailHeader,
-  WorkoutDetailHRChart,
-  WorkoutDetailRoute,
  WorkoutDetailStats,
+  WorkoutDetailHrSection,
+  WorkoutDetailZones,
+  WorkoutDetailRoute,
+  WorkoutDetailSplits,
+  WorkoutDetailDayLinks,
+  WorkoutInsightCard,
 } from "@/components/insights/workout-detail";

 /**
- * v1.4.32 — `/insights/workouts/[id]`.
+ * `/insights/workouts/[id]` — workout detail surface.
 *
- * Workout detail surface. Mounts the header + stats + optional GPS
- * route + heart-rate chart slot. The route data flows from
- * `GET /api/workouts/{id}` (v1.4.32) and includes the cross-source
- * canonical-id pointer so a deep-link into a non-canonical twin
- * surfaces a graceful redirect cue (handled inline on the header for
- * v1.4.32; iOS-side redirect arrives in v1.5).
+ * Layout, top to bottom (mobile-first single column):
+ *   hero header → reserved Activity-Insight seam (renders nothing today)
+ *   → stats grid + sport-average line → HR curve → effort zones → GPS
+ *   route → per-km splits → "that day" cross-links → coach launch.
+ *
+ * Every data-less section returns `null` (hide, don't render empty), so
+ * an aggregates-only workout (a Strava ride with no wearable, a manual
+ * entry) reads as hero + stats + "that day" + coach — compact but
+ * honest, no empty shells.
+ *
+ * Data flows from `GET /api/workouts/{id}?compact=1` (v1.4.32 + the #67
+ * enrichment fields). The `canonicalId` pointer still resolves a
+ * deep-link into a non-canonical twin; the header carries the source.
 */
 export default function InsightsWorkoutDetailPage({
  params,
@@ -36,7 +48,7 @@ export default function InsightsWorkoutDetailPage({
  const { t } = useTranslations();
  const { id } = use(params);
  const { ready } = useModulePageGuard("workouts");
-  const { data, isLoading, error } = useWorkoutDetail(id);
+  const { data, isLoading, error, refetch } = useWorkoutDetail(id);

  // v1.18.0 B1 — bounce a direct URL hit on a disabled-workouts account.
  if (!ready) {
@@ -63,9 +75,13 @@ export default function InsightsWorkoutDetailPage({
        <div data-slot="workout-detail-loading" className="space-y-3">
          <Skeleton className="h-20 w-full rounded-lg" />
          <Skeleton className="h-40 w-full rounded-lg" />
+          <Skeleton className="h-56 w-full rounded-lg" />
          <Skeleton className="h-60 w-full rounded-lg" />
        </div>
-      ) : error || !data ? (
+      ) : error ? (
+        // A failed query must never read as "no data" (UI-STANDARDS §6).
+        <QueryErrorCard onRetry={() => refetch()} />
+      ) : !data ? (
        <p
          data-slot="workout-detail-error"
          className="text-muted-foreground text-sm"
@@ -75,13 +91,20 @@ export default function InsightsWorkoutDetailPage({
      ) : (
        <>
          <WorkoutDetailHeader workout={data} />
+          {/* Reserved Activity-Insight seam — `aiInsight` is always null
+              today, so this renders nothing. When the Phase-2 job
+              populates it, the card mounts here with zero layout rework. */}
+          {data.aiInsight ? (
+            <WorkoutInsightCard insight={data.aiInsight} />
+          ) : null}
          <WorkoutDetailStats workout={data} />
+          <WorkoutDetailHrSection workout={data} />
+          <WorkoutDetailZones workout={data} />
          <WorkoutDetailRoute workout={data} />
-          <WorkoutDetailHRChart workout={data} />
-          {/* 2026-07-17 UX-flows audit F6-1 — the button used to open an
-              unscoped chat; the user had to restate which session they
-              meant. `workouts` narrows the snapshot the first turn reads
-              (pairs with the coach-scope param added for F4-1). */}
+          <WorkoutDetailSplits workout={data} />
+          <WorkoutDetailDayLinks workout={data} />
+          {/* 2026-07-17 UX-flows audit F6-1 — `workouts` narrows the
+              snapshot the first coach turn reads. */}
          <CoachLaunchButton scope={{ metric: "workouts" }} />
        </>
      )}
@@ -44,3 +44,5 @@ export { EfficacyChart } from "@/components/medications/detail/efficacy/efficacy
 export { AssessmentHistoryChart } from "@/components/mental-health/assessment-history-chart";
 export { IntradayPulseChart } from "@/components/insights/intraday-pulse-chart";
 export { NutrientDailyBarChart } from "./nutrient-daily-bar-chart";
+export { WorkoutHrChart } from "./workout-hr-chart";
+export { WorkoutElevationChart } from "./workout-elevation-chart";
@@ -0,0 +1,101 @@
+"use client";
+
+import {
+  AreaChart,
+  Area,
+  XAxis,
+  YAxis,
+  CartesianGrid,
+  Tooltip,
+  ResponsiveContainer,
+} from "recharts";
+
+import { useTranslations } from "@/lib/i18n/context";
+
+/**
+ * Workout elevation profile — a small cumulative-distance / altitude
+ * area under the route map. Rendered ONLY through `chart-runtime.ts`.
+ * Present only when ≥ 60 % of route coordinates carry altitude (the
+ * caller gates it); partial altimeter data would draw a lie.
+ */
+
+export interface WorkoutElevationPoint {
+  distanceM: number;
+  altitude: number;
+}
+
+export function WorkoutElevationChart({
+  points,
+}: {
+  points: WorkoutElevationPoint[];
+}) {
+  const { t } = useTranslations();
+  const data = points.map((p) => ({ km: p.distanceM / 1000, alt: p.altitude }));
+
+  return (
+    <div className="h-24 w-full" data-slot="workout-elevation-chart">
+      <ResponsiveContainer width="100%" height="100%">
+        <AreaChart
+          data={data}
+          margin={{ top: 4, right: 8, bottom: 0, left: 0 }}
+        >
+          <defs>
+            <linearGradient
+              id="workoutElevationFill"
+              x1="0"
+              y1="0"
+              x2="0"
+              y2="1"
+            >
+              <stop offset="0%" stopColor="var(--chart-2)" stopOpacity={0.35} />
+              <stop offset="100%" stopColor="var(--chart-2)" stopOpacity={0} />
+            </linearGradient>
+          </defs>
+          <CartesianGrid
+            strokeDasharray="3 3"
+            stroke="var(--border)"
+            opacity={0.4}
+          />
+          <XAxis
+            dataKey="km"
+            type="number"
+            domain={[0, "dataMax"]}
+            tick={{ fontSize: 10, fill: "var(--muted-foreground)" }}
+            tickFormatter={(v) => Number(v).toFixed(1)}
+            tickLine={false}
+            axisLine={false}
+          />
+          <YAxis
+            domain={["dataMin - 5", "dataMax + 5"]}
+            tick={{ fontSize: 10, fill: "var(--muted-foreground)" }}
+            tickLine={false}
+            axisLine={false}
+            width={36}
+            allowDecimals={false}
+          />
+          <Tooltip
+            contentStyle={{
+              backgroundColor: "var(--card)",
+              border: "1px solid var(--border)",
+              borderRadius: "0.5rem",
+              fontSize: "0.875rem",
+            }}
+            labelFormatter={(km) => `${Number(km).toFixed(2)} km`}
+            formatter={(value) => [
+              `${Math.round(Number(value))} m`,
+              t("insights.workouts.detail.elevationTitle"),
+            ]}
+          />
+          <Area
+            type="monotone"
+            dataKey="alt"
+            stroke="var(--chart-2)"
+            strokeWidth={2}
+            fill="url(#workoutElevationFill)"
+            isAnimationActive={false}
+          />
+        </AreaChart>
+      </ResponsiveContainer>
+    </div>
+  );
+}
@@ -0,0 +1,211 @@
+"use client";
+
+import { useMemo } from "react";
+import {
+  ComposedChart,
+  Area,
+  Line,
+  XAxis,
+  YAxis,
+  CartesianGrid,
+  Tooltip,
+  ReferenceLine,
+  ReferenceArea,
+  ResponsiveContainer,
+} from "recharts";
+
+import { useTranslations } from "@/lib/i18n/context";
+
+/**
+ * Per-workout heart-rate curve. Rendered ONLY through the shared
+ * `chart-runtime.ts` barrel (the one recharts async boundary) so the
+ * library stays a single shared chunk — never import this file directly
+ * at a call site.
+ *
+ * `ComposedChart`: an `Area` for the min→max envelope (drawn only when
+ * the series is dense enough to be honest), a `Line` for the bucket
+ * mean, optional %HRmax zone bands behind them, and a dashed reference
+ * line at the workout's average HR. Gaps stay gaps (`connectNulls`
+ * false) — a hole in the recording never reads as an interpolated
+ * curve.
+ */
+
+export interface WorkoutHrChartPoint {
+  tSec: number;
+  mean: number;
+  min: number;
+  max: number;
+}
+
+export interface WorkoutHrZoneBand {
+  zone: number;
+  lowBpm: number | null;
+  highBpm: number | null;
+}
+
+export interface WorkoutHrChartProps {
+  points: WorkoutHrChartPoint[];
+  bucketSec: number;
+  /** Draw the min→max envelope band behind the mean line. */
+  envelope: boolean;
+  /** Workout average HR for the reference line. */
+  avgHr: number | null;
+  /** Optional %HRmax zone bands for the shaded background. */
+  zones?: WorkoutHrZoneBand[] | null;
+}
+
+const ZONE_FILLS = [
+  "var(--chart-1)",
+  "var(--chart-2)",
+  "var(--chart-3)",
+  "var(--chart-4)",
+  "var(--chart-5)",
+];
+
+function minuteTick(seconds: number): string {
+  return String(Math.round(seconds / 60));
+}
+
+export function WorkoutHrChart({
+  points,
+  bucketSec,
+  envelope,
+  avgHr,
+  zones,
+}: WorkoutHrChartProps) {
+  const { t } = useTranslations();
+
+  // Build a full elapsed-time grid so a gap of missing buckets breaks
+  // the line rather than interpolating across it.
+  const data = useMemo(() => {
+    if (points.length === 0) return [];
+    const byT = new Map(points.map((p) => [p.tSec, p]));
+    const maxT = points[points.length - 1].tSec;
+    const grid: Array<{
+      tSec: number;
+      mean: number | null;
+      lo: number | null;
+      hi: number | null;
+    }> = [];
+    for (let tSec = 0; tSec <= maxT; tSec += bucketSec) {
+      const p = byT.get(tSec);
+      grid.push({
+        tSec,
+        mean: p ? p.mean : null,
+        lo: p ? p.min : null,
+        hi: p && envelope ? p.max - p.min : null,
+      });
+    }
+    return grid;
+  }, [points, bucketSec, envelope]);
+
+  return (
+    <div
+      className="h-48 w-full touch-pan-y sm:h-64"
+      data-slot="workout-hr-chart"
+    >
+      <ResponsiveContainer width="100%" height="100%">
+        <ComposedChart
+          data={data}
+          margin={{ top: 8, right: 8, bottom: 0, left: 0 }}
+        >
+          <CartesianGrid
+            strokeDasharray="3 3"
+            stroke="var(--border)"
+            opacity={0.5}
+          />
+          {zones?.map((z) =>
+            z.lowBpm != null ? (
+              <ReferenceArea
+                key={z.zone}
+                y1={z.lowBpm}
+                y2={z.highBpm ?? undefined}
+                fill={ZONE_FILLS[z.zone - 1]}
+                fillOpacity={0.06}
+                ifOverflow="hidden"
+              />
+            ) : null,
+          )}
+          <XAxis
+            dataKey="tSec"
+            type="number"
+            domain={[0, "dataMax"]}
+            tickFormatter={minuteTick}
+            tick={{ fontSize: 11, fill: "var(--muted-foreground)" }}
+            tickLine={false}
+            axisLine={false}
+            unit=""
+          />
+          <YAxis
+            domain={["dataMin - 10", "dataMax + 10"]}
+            tick={{ fontSize: 11, fill: "var(--muted-foreground)" }}
+            tickLine={false}
+            axisLine={false}
+            width={44}
+            allowDecimals={false}
+          />
+          <Tooltip
+            contentStyle={{
+              backgroundColor: "var(--card)",
+              border: "1px solid var(--border)",
+              borderRadius: "0.5rem",
+              fontSize: "0.875rem",
+            }}
+            labelFormatter={(tSec) =>
+              `${minuteTick(Number(tSec))} ${t("insights.workouts.detail.hrAxisMinutes")}`
+            }
+            formatter={(value, name) =>
+              name === "mean"
+                ? [`${value} bpm`, t("insights.workouts.detail.hrChartTitle")]
+                : [null, null]
+            }
+          />
+          {/* Envelope band: a transparent base at `lo` plus a stacked
+              `hi` (= max − min) renders the min→max ribbon. Only present
+              when `envelope` gated it in. */}
+          {envelope ? (
+            <>
+              <Area
+                type="monotone"
+                dataKey="lo"
+                stackId="band"
+                stroke="none"
+                fill="transparent"
+                connectNulls={false}
+                isAnimationActive={false}
+              />
+              <Area
+                type="monotone"
+                dataKey="hi"
+                stackId="band"
+                stroke="none"
+                fill="var(--chart-1)"
+                fillOpacity={0.15}
+                connectNulls={false}
+                isAnimationActive={false}
+              />
+            </>
+          ) : null}
+          {avgHr != null ? (
+            <ReferenceLine
+              y={avgHr}
+              stroke="var(--muted-foreground)"
+              strokeDasharray="5 5"
+              strokeOpacity={0.7}
+            />
+          ) : null}
+          <Line
+            type="monotone"
+            dataKey="mean"
+            stroke="var(--chart-1)"
+            strokeWidth={2}
+            dot={false}
+            activeDot={{ r: 4 }}
+            connectNulls={false}
+            isAnimationActive={false}
+          />
+        </ComposedChart>
+      </ResponsiveContainer>
+    </div>
+  );
+}
@@ -4,19 +4,21 @@ import { renderToStaticMarkup } from "react-dom/server";
 import { I18nProvider } from "@/lib/i18n/context";
 import {
  WorkoutDetailHeader,
-  WorkoutDetailHRChart,
-  WorkoutDetailRoute,
  WorkoutDetailStats,
+  WorkoutDetailRoute,
+  WorkoutDetailHrSection,
+  WorkoutDetailZones,
+  WorkoutDetailSplits,
+  WorkoutDetailDayLinks,
 } from "../workout-detail";
 import type { WorkoutDetailPayload } from "@/hooks/use-workouts";
+import type { RouteCoordinate } from "@/lib/workouts/route-svg";

 /**
- * v1.4.32 — `<WorkoutDetail*>` unit tests.
- *
- * Each primitive runs through SSR with a single canonical fixture.
- * The tests pin the visible labels + the graceful-fallback shapes so
- * the page renders something useful even when the optional fields
- * (route, HR samples, energy) are absent.
+ * #67 — `<WorkoutDetail*>` unit tests over the split `workout-detail/`
+ * directory. Each primitive runs through SSR with a canonical fixture;
+ * the tests pin the visible labels and the hide-don't-render contract
+ * (every data-less section returns null).
 */

 function render(node: React.ReactNode) {
@@ -43,6 +45,12 @@ const FIXTURE: WorkoutDetailPayload = {
  externalId: "ext-w-1",
  metadata: null,
  route: null,
+  samples: null,
+  hrSeries: null,
+  zones: null,
+  splits: null,
+  sportContext: null,
+  aiInsight: null,
  canonicalId: "w-1",
 };

@@ -62,7 +70,6 @@ describe("<WorkoutDetailStats>", () => {
    expect(html).toContain("Duration");
    expect(html).toContain("Distance");
    expect(html).toContain("Active energy");
-    expect(html).toContain("Average HR");
    expect(html).toContain("145 bpm");
    expect(html).toContain("Steps");
    expect(html).toContain("Pace");
@@ -82,68 +89,176 @@ describe("<WorkoutDetailStats>", () => {
    const html = render(<WorkoutDetailStats workout={minimal} />);
    expect(html).toContain("Duration");
    expect(html).not.toContain("Distance");
-    expect(html).not.toContain("Active energy");
-    expect(html).not.toContain("Steps");
    expect(html).not.toContain("Average HR");
  });
+
+  it("renders the own-history average line when ≥ 2 sessions exist", () => {
+    const withCtx: WorkoutDetailPayload = {
+      ...FIXTURE,
+      sportContext: {
+        count: 8,
+        avgDurationSec: 2040,
+        avgDistanceM: 5800,
+        avgAvgHr: 148,
+      },
+    };
+    const html = render(<WorkoutDetailStats workout={withCtx} />);
+    expect(html).toContain('data-slot="workout-detail-sport-average"');
+    expect(html).toContain("148 bpm");
+  });
+
+  it("hides the average line for a lone session", () => {
+    const lone: WorkoutDetailPayload = {
+      ...FIXTURE,
+      sportContext: {
+        count: 1,
+        avgDurationSec: 1800,
+        avgDistanceM: 5200,
+        avgAvgHr: 145,
+      },
+    };
+    const html = render(<WorkoutDetailStats workout={lone} />);
+    expect(html).not.toContain('data-slot="workout-detail-sport-average"');
+  });
 });

 describe("<WorkoutDetailRoute>", () => {
-  it("renders the empty-state when the workout has no route", () => {
+  it("returns null when the workout has no route", () => {
    const html = render(<WorkoutDetailRoute workout={FIXTURE} />);
-    expect(html).toContain('data-slot="workout-detail-route-empty"');
-    expect(html).toContain("No GPS route");
+    expect(html).toBe("");
  });

-  it("renders an SVG polyline when GeoJSON LineString geometry is present", () => {
+  it("renders an SVG path for a real route", () => {
+    const coords: RouteCoordinate[] = [];
+    for (let i = 0; i < 20; i++)
+      coords.push([11.0 + i * 0.0004, 50.0 + i * 0.0003]);
    const withRoute: WorkoutDetailPayload = {
      ...FIXTURE,
      route: {
-        geometry: {
-          type: "LineString",
-          coordinates: [
-            [11.0, 49.0],
-            [11.01, 49.005],
-            [11.02, 49.01],
-          ],
-        },
+        geometry: { type: "LineString", coordinates: coords },
        sampleTimestamps: null,
      },
    };
    const html = render(<WorkoutDetailRoute workout={withRoute} />);
    expect(html).toContain('data-slot="workout-detail-route"');
-    expect(html).toContain("<polyline");
+    expect(html).toContain("<path");
+    expect(html).toContain("Export GPX");
  });

-  it("falls back to the empty state for a LineString with fewer than 2 points", () => {
+  it("returns null for a degenerate point-shaped route", () => {
    const stub: WorkoutDetailPayload = {
      ...FIXTURE,
      route: {
-        geometry: { type: "LineString", coordinates: [[11, 49]] },
+        geometry: {
+          type: "LineString",
+          coordinates: [
+            [11, 49],
+            [11.0001, 49.0001],
+          ],
+        },
        sampleTimestamps: null,
      },
    };
-    const html = render(<WorkoutDetailRoute workout={stub} />);
-    expect(html).toContain('data-slot="workout-detail-route-empty"');
+    expect(render(<WorkoutDetailRoute workout={stub} />)).toBe("");
  });
 });

-describe("<WorkoutDetailHRChart>", () => {
-  it("renders the unavailable notice with aggregate HR values when present", () => {
-    const html = render(<WorkoutDetailHRChart workout={FIXTURE} />);
-    expect(html).toContain('data-slot="workout-detail-hr-chart"');
-    expect(html).toContain("145 bpm");
-    expect(html).toContain("170 bpm");
+describe("<WorkoutDetailHrSection>", () => {
+  it("returns null without an HR series", () => {
+    expect(render(<WorkoutDetailHrSection workout={FIXTURE} />)).toBe("");
  });

-  it("renders just the unavailable notice when no HR aggregates are present", () => {
-    const noHr: WorkoutDetailPayload = {
+  it("renders the card and a provenance chip for a pulse-window series", () => {
+    const withHr: WorkoutDetailPayload = {
      ...FIXTURE,
-      avgHr: null,
-      maxHr: null,
+      hrSeries: {
+        source: "pulse_window",
+        bucketSec: 8,
+        points: [
+          { tSec: 0, mean: 130, min: 125, max: 135 },
+          { tSec: 8, mean: 140, min: 135, max: 145 },
+        ],
+        envelope: false,
+      },
    };
-    const html = render(<WorkoutDetailHRChart workout={noHr} />);
-    expect(html).toContain("Per-second heart-rate");
-    expect(html).not.toContain("145 bpm");
+    const html = render(<WorkoutDetailHrSection workout={withHr} />);
+    expect(html).toContain('data-slot="workout-detail-hr"');
+    expect(html).toContain('data-slot="workout-detail-hr-provenance"');
+    expect(html).toContain("From your heart-rate data");
+  });
+
+  it("omits the provenance chip for a stored series", () => {
+    const withHr: WorkoutDetailPayload = {
+      ...FIXTURE,
+      hrSeries: {
+        source: "workout_series",
+        bucketSec: 8,
+        points: [
+          { tSec: 0, mean: 130, min: 125, max: 135 },
+          { tSec: 8, mean: 140, min: 135, max: 145 },
+        ],
+        envelope: true,
+      },
+    };
+    const html = render(<WorkoutDetailHrSection workout={withHr} />);
+    expect(html).toContain('data-slot="workout-detail-hr"');
+    expect(html).not.toContain('data-slot="workout-detail-hr-provenance"');
+  });
+});
+
+describe("<WorkoutDetailZones>", () => {
+  it("returns null without zone data", () => {
+    expect(render(<WorkoutDetailZones workout={FIXTURE} />)).toBe("");
+  });
+
+  it("renders the stacked bar and per-zone minutes", () => {
+    const withZones: WorkoutDetailPayload = {
+      ...FIXTURE,
+      zones: {
+        model: "tanaka",
+        hrMax: 180,
+        zones: [
+          { zone: 1, lowBpm: 90, highBpm: 108, seconds: 300 },
+          { zone: 2, lowBpm: 108, highBpm: 126, seconds: 600 },
+          { zone: 3, lowBpm: 126, highBpm: 144, seconds: 500 },
+          { zone: 4, lowBpm: 144, highBpm: 162, seconds: 200 },
+          { zone: 5, lowBpm: 162, highBpm: null, seconds: 60 },
+        ],
+      },
+    };
+    const html = render(<WorkoutDetailZones workout={withZones} />);
+    expect(html).toContain('data-slot="workout-detail-zones"');
+    expect(html).toContain("Effort zones");
+    expect(html).toContain("Z3");
+  });
+});
+
+describe("<WorkoutDetailSplits>", () => {
+  it("returns null without splits", () => {
+    expect(render(<WorkoutDetailSplits workout={FIXTURE} />)).toBe("");
+  });
+
+  it("renders a row per kilometre", () => {
+    const withSplits: WorkoutDetailPayload = {
+      ...FIXTURE,
+      splits: [
+        { km: 1, durationSec: 300, paceSecPerKm: 300 },
+        { km: 2, durationSec: 288, paceSecPerKm: 288 },
+      ],
+    };
+    const html = render(<WorkoutDetailSplits workout={withSplits} />);
+    expect(html).toContain('data-slot="workout-detail-splits"');
+    expect(html).toContain("5:00");
+    expect(html).toContain("4:48 /km");
+  });
+});
+
+describe("<WorkoutDetailDayLinks>", () => {
+  it("renders the that-day navigation links", () => {
+    const html = render(<WorkoutDetailDayLinks workout={FIXTURE} />);
+    expect(html).toContain('data-slot="workout-detail-day-links"');
+    expect(html).toContain('href="/insights/pulse"');
+    expect(html).toContain('href="/insights/sleep"');
+    expect(html).toContain('href="/insights/mood"');
  });
 });
@@ -1,438 +0,0 @@
-"use client";
-
-import type { ReactNode } from "react";
-import {
-  Flame,
-  Footprints,
-  HeartPulse,
-  Map,
-  Mountain,
-  Timer,
-} from "lucide-react";
-
-import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
-import { cn } from "@/lib/utils";
-import { getNumberFormat, getDateTimeFormat } from "@/lib/intl/formatter-cache";
-import { useTranslations, useTimeFormatPreference } from "@/lib/i18n/context";
-import {
-  hourCycleOptions,
-  type TimeFormatPreference,
-} from "@/lib/format-locale";
-import { iconForSport } from "@/lib/workouts/sport-icons";
-import type { WorkoutDetailPayload } from "@/hooks/use-workouts";
-
-/**
- * v1.4.32 — workout-detail components: header, stats, optional route,
- * optional HR chart.
- *
- * Mounted by `/insights/workouts/[id]/page.tsx`. The page itself owns
- * the data fetch + the empty / loading / error branches; each
- * component below is a pure render primitive over a non-null
- * `WorkoutDetailPayload`.
- */
-
-function formatDuration(seconds: number): string {
-  const h = Math.floor(seconds / 3600);
-  const m = Math.floor((seconds % 3600) / 60);
-  const s = seconds % 60;
-  if (h > 0) {
-    return `${h}h ${m.toString().padStart(2, "0")}m ${s.toString().padStart(2, "0")}s`;
-  }
-  return `${m}m ${s.toString().padStart(2, "0")}s`;
-}
-
-function formatDistanceKm(meters: number, locale: string): string {
-  const km = meters / 1000;
-  return getNumberFormat(locale, {
-    maximumFractionDigits: 2,
-    minimumFractionDigits: km < 10 ? 2 : 1,
-  }).format(km);
-}
-
-function formatNumber(
-  value: number,
-  locale: string,
-  fractionDigits = 0,
-): string {
-  return getNumberFormat(locale, {
-    maximumFractionDigits: fractionDigits,
-    minimumFractionDigits: fractionDigits,
-  }).format(value);
-}
-
-function formatPaceMinPerKm(
-  durationSec: number,
-  meters: number,
-  locale: string,
-): string {
-  // Pace is the seconds-per-kilometre value. Only meaningful for
-  // run / walk / hike. The caller already gated on `meters > 0`.
-  const secPerKm = (durationSec / meters) * 1000;
-  const m = Math.floor(secPerKm / 60);
-  const s = Math.round(secPerKm % 60);
-  return `${m}:${s.toString().padStart(2, "0")} ${locale === "en" ? "/km" : "/km"}`;
-}
-
-function formatDateRange(
-  startedAt: string,
-  endedAt: string,
-  locale: string,
-  timeFormat: TimeFormatPreference,
-): string {
-  const start = new Date(startedAt);
-  const end = new Date(endedAt);
-  const dateFmt = getDateTimeFormat(locale, {
-    weekday: "long",
-    day: "2-digit",
-    month: "long",
-    year: "numeric",
-  });
-  const timeFmt = getDateTimeFormat(locale, {
-    hour: "2-digit",
-    minute: "2-digit",
-    ...hourCycleOptions(timeFormat),
-  });
-  return `${dateFmt.format(start)} · ${timeFmt.format(start)} – ${timeFmt.format(end)}`;
-}
-
-// ── Header ───────────────────────────────────────────────────────────
-
-export interface WorkoutDetailHeaderProps {
-  workout: WorkoutDetailPayload;
-}
-
-function renderSportIconBadge(sportType: string) {
-  const Icon = iconForSport(sportType);
-  return (
-    <span
-      aria-hidden="true"
-      className="bg-muted text-muted-foreground flex size-12 shrink-0 items-center justify-center rounded-full"
-    >
-      <Icon className="size-6" />
-    </span>
-  );
-}
-
-export function WorkoutDetailHeader({ workout }: WorkoutDetailHeaderProps) {
-  const { t, locale } = useTranslations();
-  const timeFormat = useTimeFormatPreference();
-  const sportLabelKey = `insights.workouts.sport.${workout.sportType}`;
-  const sportLabel = t(sportLabelKey);
-  const sportName =
-    sportLabel === sportLabelKey ? workout.sportType : sportLabel;
-
-  return (
-    <header
-      data-slot="workout-detail-header"
-      // v1.30 mobile audit (W-1) — the three columns (icon + title block +
-      // duration) held at every width, so at 360px the middle column got
-      // ~120px and the long-format date line wrapped 4-5 lines beside a
-      // text-2xl duration. Stack below sm: duration drops under the title
-      // block as its own row instead of squeezing beside it.
-      className="flex flex-col gap-3 sm:flex-row sm:items-start sm:gap-4"
-    >
-      <div className="flex min-w-0 items-start gap-4">
-        {renderSportIconBadge(workout.sportType)}
-        <div className="min-w-0 flex-1 space-y-1">
-          <p className="text-muted-foreground text-xs tracking-wide uppercase">
-            {workout.source}
-          </p>
-          <h2 className="truncate text-lg font-semibold sm:text-xl">
-            {sportName}
-          </h2>
-          <p className="text-muted-foreground text-sm">
-            {formatDateRange(
-              workout.startedAt,
-              workout.endedAt,
-              locale,
-              timeFormat,
-            )}
-          </p>
-        </div>
-      </div>
-      <div className="flex items-center gap-2 sm:flex-col sm:items-end sm:gap-0 sm:text-right">
-        <span className="text-2xl font-semibold tabular-nums">
-          {formatDuration(workout.durationSec)}
-        </span>
-        {workout.distanceM != null ? (
-          <span className="text-muted-foreground text-xs tabular-nums">
-            {formatDistanceKm(workout.distanceM, locale)} km
-          </span>
-        ) : null}
-      </div>
-    </header>
-  );
-}
-
-// ── Stats ────────────────────────────────────────────────────────────
-
-interface StatTileProps {
-  icon: ReactNode;
-  label: string;
-  value: string;
-  hint?: string;
-}
-
-function StatTile({ icon, label, value, hint }: StatTileProps) {
-  return (
-    <div
-      data-slot="workout-detail-stat"
-      className="flex flex-col gap-1 rounded-lg border p-3"
-    >
-      <span className="text-muted-foreground flex items-center gap-1.5 text-xs">
-        <span aria-hidden="true" className="size-4">
-          {icon}
-        </span>
-        {label}
-      </span>
-      <span className="text-base font-semibold tabular-nums">{value}</span>
-      {hint ? (
-        <span className="text-muted-foreground text-xs">{hint}</span>
-      ) : null}
-    </div>
-  );
-}
-
-export interface WorkoutDetailStatsProps {
-  workout: WorkoutDetailPayload;
-}
-
-export function WorkoutDetailStats({ workout }: WorkoutDetailStatsProps) {
-  const { t, locale } = useTranslations();
-  const tiles: StatTileProps[] = [];
-
-  tiles.push({
-    icon: <Timer className="size-4" />,
-    label: t("insights.workouts.detail.statsDuration"),
-    value: formatDuration(workout.durationSec),
-  });
-
-  if (workout.distanceM != null && workout.distanceM > 0) {
-    tiles.push({
-      icon: <Map className="size-4" />,
-      label: t("insights.workouts.detail.statsDistance"),
-      value: `${formatDistanceKm(workout.distanceM, locale)} km`,
-    });
-  }
-
-  if (workout.activeEnergyKcal != null) {
-    tiles.push({
-      icon: <Flame className="size-4" />,
-      label: t("insights.workouts.detail.statsActiveEnergy"),
-      value: `${formatNumber(workout.activeEnergyKcal, locale)} kcal`,
-    });
-  }
-
-  if (workout.avgHr != null) {
-    tiles.push({
-      icon: <HeartPulse className="size-4" />,
-      label: t("insights.workouts.detail.statsAvgHr"),
-      value: `${workout.avgHr} bpm`,
-      hint:
-        workout.maxHr != null
-          ? `${t("insights.workouts.detail.statsMaxHr")}: ${workout.maxHr} bpm`
-          : undefined,
-    });
-  }
-
-  if (workout.minHr != null) {
-    tiles.push({
-      icon: <HeartPulse className="size-4" />,
-      label: t("insights.workouts.detail.statsMinHr"),
-      value: `${workout.minHr} bpm`,
-    });
-  }
-
-  if (workout.stepCount != null && workout.stepCount > 0) {
-    tiles.push({
-      icon: <Footprints className="size-4" />,
-      label: t("insights.workouts.detail.statsStepCount"),
-      value: formatNumber(workout.stepCount, locale),
-    });
-  }
-
-  if (workout.elevationM != null && workout.elevationM !== 0) {
-    tiles.push({
-      icon: <Mountain className="size-4" />,
-      label: t("insights.workouts.detail.statsElevation"),
-      value: `${formatNumber(workout.elevationM, locale, 1)} m`,
-    });
-  }
-
-  // Pace is only meaningful for foot- and ride-paced sports. Surface
-  // it when the workout has both a distance and a sport with a
-  // canonical pace unit; the fallback covers the long-tail HK enum
-  // values without lighting up a misleading number.
-  const PACE_SPORTS = new Set(["walking", "running", "hiking", "cycling"]);
-  if (
-    workout.distanceM != null &&
-    workout.distanceM > 100 &&
-    PACE_SPORTS.has(workout.sportType)
-  ) {
-    tiles.push({
-      icon: <Timer className="size-4" />,
-      label: t("insights.workouts.detail.statsPace"),
-      value: formatPaceMinPerKm(workout.durationSec, workout.distanceM, locale),
-    });
-  }
-
-  return (
-    <Card data-slot="workout-detail-stats">
-      <CardHeader>
-        <CardTitle className="text-base">
-          {t("insights.workouts.detail.statsTitle")}
-        </CardTitle>
-      </CardHeader>
-      <CardContent
-        className={cn(
-          "grid gap-2",
-          "grid-cols-2 sm:grid-cols-3 lg:grid-cols-4",
-        )}
-      >
-        {tiles.map((tile) => (
-          <StatTile key={tile.label} {...tile} />
-        ))}
-      </CardContent>
-    </Card>
-  );
-}
-
-// ── Route ────────────────────────────────────────────────────────────
-
-export interface WorkoutDetailRouteProps {
-  workout: WorkoutDetailPayload;
-}
-
-interface LineStringGeometry {
-  type: "LineString";
-  coordinates: Array<[number, number] | [number, number, number]>;
-}
-
-function isLineString(value: unknown): value is LineStringGeometry {
-  if (!value || typeof value !== "object") return false;
-  const v = value as Record<string, unknown>;
-  return v.type === "LineString" && Array.isArray(v.coordinates);
-}
-
-export function WorkoutDetailRoute({ workout }: WorkoutDetailRouteProps) {
-  const { t } = useTranslations();
-  const geometry = workout.route?.geometry;
-
-  if (!isLineString(geometry) || geometry.coordinates.length < 2) {
-    return (
-      <Card data-slot="workout-detail-route-empty">
-        <CardHeader>
-          <CardTitle className="text-base">
-            {t("insights.workouts.detail.routeTitle")}
-          </CardTitle>
-        </CardHeader>
-        <CardContent className="text-muted-foreground text-sm">
-          {t("insights.workouts.detail.routeUnavailable")}
-        </CardContent>
-      </Card>
-    );
-  }
-
-  // The map widget itself defers to v1.5.x (MapLibre / Leaflet not yet
-  // pulled in). For v1.4.32 we paint a lightweight SVG polyline of the
-  // route geometry — projection-free, normalised against the bounding
-  // box, no third-party dependency. Resolution is fine on screen
-  // because routes are bounded to 20 000 points by the ingest cap.
-  const coordinates = geometry.coordinates;
-  let minLon = Infinity;
-  let maxLon = -Infinity;
-  let minLat = Infinity;
-  let maxLat = -Infinity;
-  for (const [lon, lat] of coordinates) {
-    if (lon < minLon) minLon = lon;
-    if (lon > maxLon) maxLon = lon;
-    if (lat < minLat) minLat = lat;
-    if (lat > maxLat) maxLat = lat;
-  }
-  const padLon = (maxLon - minLon) * 0.05 || 0.0001;
-  const padLat = (maxLat - minLat) * 0.05 || 0.0001;
-  minLon -= padLon;
-  maxLon += padLon;
-  minLat -= padLat;
-  maxLat += padLat;
-  const VIEW_W = 400;
-  const VIEW_H = 240;
-  const points = coordinates
-    .map(([lon, lat]) => {
-      const x = ((lon - minLon) / (maxLon - minLon)) * VIEW_W;
-      // SVG y-axis grows downward; flip lat → y.
-      const y = VIEW_H - ((lat - minLat) / (maxLat - minLat)) * VIEW_H;
-      return `${x.toFixed(1)},${y.toFixed(1)}`;
-    })
-    .join(" ");
-
-  return (
-    <Card data-slot="workout-detail-route">
-      <CardHeader>
-        <CardTitle className="text-base">
-          {t("insights.workouts.detail.routeTitle")}
-        </CardTitle>
-      </CardHeader>
-      <CardContent>
-        <svg
-          viewBox={`0 0 ${VIEW_W} ${VIEW_H}`}
-          className="bg-muted/40 h-60 w-full rounded-md"
-          role="img"
-          aria-label={t("insights.workouts.detail.routeTitle")}
-        >
-          <polyline
-            points={points}
-            fill="none"
-            stroke="currentColor"
-            strokeWidth={2}
-            strokeLinecap="round"
-            strokeLinejoin="round"
-            className="text-primary"
-          />
-        </svg>
-      </CardContent>
-    </Card>
-  );
-}
-
-// ── Heart-rate chart ─────────────────────────────────────────────────
-
-export function WorkoutDetailHRChart({
-  workout,
-}: {
-  workout: WorkoutDetailPayload;
-}) {
-  const { t } = useTranslations();
-
-  // Per-second HR samples are not persisted on the Workout row today —
-  // the W8d ingest schema stores aggregates only (avg / max / min).
-  // The per-second series lives on the corresponding `Measurement`
-  // rows posted alongside the workout via `POST /api/measurements/batch`.
-  // Wiring that into the detail page consumes a future v1.5.x sprint
-  // (see R-F T2 + W8d outline); for v1.4.32 the slot renders a
-  // graceful empty state with the aggregates already surfaced on
-  // `<WorkoutDetailStats>`.
-  return (
-    <Card data-slot="workout-detail-hr-chart">
-      <CardHeader>
-        <CardTitle className="text-base">
-          {t("insights.workouts.detail.hrChartTitle")}
-        </CardTitle>
-      </CardHeader>
-      <CardContent className="text-muted-foreground space-y-2 text-sm">
-        <p>{t("insights.workouts.detail.hrChartUnavailable")}</p>
-        {workout.avgHr != null || workout.maxHr != null ? (
-          <p>
-            {workout.avgHr != null
-              ? `${t("insights.workouts.detail.statsAvgHr")}: ${workout.avgHr} bpm`
-              : null}
-            {workout.avgHr != null && workout.maxHr != null ? " · " : ""}
-            {workout.maxHr != null
-              ? `${t("insights.workouts.detail.statsMaxHr")}: ${workout.maxHr} bpm`
-              : null}
-          </p>
-        ) : null}
-      </CardContent>
-    </Card>
-  );
-}
@@ -0,0 +1,77 @@
+"use client";
+
+import Link from "next/link";
+import { Activity, Moon, Smile } from "lucide-react";
+import type { ComponentType } from "react";
+
+import { Card, CardContent, CardHeader } from "@/components/ui/card";
+import { TileHeader } from "@/components/insights/tile-header";
+import { CalendarDays } from "lucide-react";
+import { useTranslations } from "@/lib/i18n/context";
+import type { WorkoutDetailPayload } from "@/hooks/use-workouts";
+
+interface DayLink {
+  href: string;
+  labelKey: string;
+  icon: ComponentType<{ className?: string }>;
+}
+
+const LINKS: DayLink[] = [
+  {
+    href: "/insights/pulse",
+    labelKey: "insights.workouts.detail.dayPulse",
+    icon: Activity,
+  },
+  {
+    href: "/insights/sleep",
+    labelKey: "insights.workouts.detail.daySleep",
+    icon: Moon,
+  },
+  {
+    href: "/insights/mood",
+    labelKey: "insights.workouts.detail.dayMood",
+    icon: Smile,
+  },
+];
+
+export interface WorkoutDetailDayLinksProps {
+  workout: WorkoutDetailPayload;
+}
+
+/**
+ * "That day" — a plain inline link row to the day's other signals
+ * (intraday pulse, that night's sleep, mood). No reads; just navigation
+ * so the workout sits in the context of the rest of the day.
+ */
+export function WorkoutDetailDayLinks({ workout }: WorkoutDetailDayLinksProps) {
+  const { t } = useTranslations();
+  void workout;
+
+  return (
+    <Card data-slot="workout-detail-day-links">
+      <CardHeader>
+        <TileHeader
+          icon={CalendarDays}
+          title={t("insights.workouts.detail.thatDayTitle")}
+        />
+      </CardHeader>
+      <CardContent>
+        <div className="flex flex-wrap gap-2">
+          {LINKS.map(({ href, labelKey, icon: Icon }) => (
+            <Link
+              key={href}
+              href={href}
+              className="border-border hover:bg-muted inline-flex items-center gap-1.5 rounded-md border px-3 py-1.5 text-sm transition-colors"
+            >
+              <Icon
+                className="text-muted-foreground size-4"
+                aria-hidden="true"
+              />
+              {t(labelKey)}
+            </Link>
+          ))}
+        </div>
+      </CardContent>
+    </Card>
+  );
+}
@@ -0,0 +1,86 @@
+import { getNumberFormat, getDateTimeFormat } from "@/lib/intl/formatter-cache";
+import {
+  hourCycleOptions,
+  type TimeFormatPreference,
+} from "@/lib/format-locale";
+
+/**
+ * Shared formatters for the workout-detail surface. Pure helpers pulled
+ * out of the former single `workout-detail.tsx` when it was split into a
+ * `workout-detail/` directory (#67), so header / stats / splits format
+ * durations and distances identically.
+ */
+
+export function formatDuration(seconds: number): string {
+  const h = Math.floor(seconds / 3600);
+  const m = Math.floor((seconds % 3600) / 60);
+  const s = seconds % 60;
+  if (h > 0) {
+    return `${h}h ${m.toString().padStart(2, "0")}m ${s.toString().padStart(2, "0")}s`;
+  }
+  return `${m}m ${s.toString().padStart(2, "0")}s`;
+}
+
+/** Compact "34 min" style duration for the sport-average comparison line. */
+export function formatDurationMinutes(seconds: number, locale: string): string {
+  const minutes = Math.round(seconds / 60);
+  return formatNumber(minutes, locale);
+}
+
+export function formatDistanceKm(meters: number, locale: string): string {
+  const km = meters / 1000;
+  return getNumberFormat(locale, {
+    maximumFractionDigits: 2,
+    minimumFractionDigits: km < 10 ? 2 : 1,
+  }).format(km);
+}
+
+export function formatNumber(
+  value: number,
+  locale: string,
+  fractionDigits = 0,
+): string {
+  return getNumberFormat(locale, {
+    maximumFractionDigits: fractionDigits,
+    minimumFractionDigits: fractionDigits,
+  }).format(value);
+}
+
+export function formatPaceMinPerKm(
+  durationSec: number,
+  meters: number,
+): string {
+  // Seconds-per-kilometre. Only meaningful for run / walk / hike / ride;
+  // the caller gates on distance + sport.
+  const secPerKm = (durationSec / meters) * 1000;
+  return formatPaceSeconds(secPerKm);
+}
+
+/** "m:ss /km" from a seconds-per-km value (used by pace + splits). */
+export function formatPaceSeconds(secPerKm: number): string {
+  const m = Math.floor(secPerKm / 60);
+  const s = Math.round(secPerKm % 60);
+  return `${m}:${s.toString().padStart(2, "0")} /km`;
+}
+
+export function formatDateRange(
+  startedAt: string,
+  endedAt: string,
+  locale: string,
+  timeFormat: TimeFormatPreference,
+): string {
+  const start = new Date(startedAt);
+  const end = new Date(endedAt);
+  const dateFmt = getDateTimeFormat(locale, {
+    weekday: "long",
+    day: "2-digit",
+    month: "long",
+    year: "numeric",
+  });
+  const timeFmt = getDateTimeFormat(locale, {
+    hour: "2-digit",
+    minute: "2-digit",
+    ...hourCycleOptions(timeFormat),
+  });
+  return `${dateFmt.format(start)} · ${timeFmt.format(start)} – ${timeFmt.format(end)}`;
+}
@@ -0,0 +1,76 @@
+"use client";
+
+import { useTranslations, useTimeFormatPreference } from "@/lib/i18n/context";
+import { iconForSport } from "@/lib/workouts/sport-icons";
+import type { WorkoutDetailPayload } from "@/hooks/use-workouts";
+
+import { formatDuration, formatDistanceKm, formatDateRange } from "./format";
+
+/**
+ * Hero header — the at-a-glance verdict row. Sport icon badge, source
+ * provenance line, sport name, date/time range, big duration + distance.
+ */
+
+export interface WorkoutDetailHeaderProps {
+  workout: WorkoutDetailPayload;
+}
+
+function renderSportIconBadge(sportType: string) {
+  const Icon = iconForSport(sportType);
+  return (
+    <span
+      aria-hidden="true"
+      className="bg-muted text-muted-foreground flex size-12 shrink-0 items-center justify-center rounded-full"
+    >
+      <Icon className="size-6" />
+    </span>
+  );
+}
+
+export function WorkoutDetailHeader({ workout }: WorkoutDetailHeaderProps) {
+  const { t, locale } = useTranslations();
+  const timeFormat = useTimeFormatPreference();
+  const sportLabelKey = `insights.workouts.sport.${workout.sportType}`;
+  const sportLabel = t(sportLabelKey);
+  const sportName =
+    sportLabel === sportLabelKey ? workout.sportType : sportLabel;
+
+  return (
+    <header
+      data-slot="workout-detail-header"
+      // v1.30 mobile audit (W-1) — stack below sm so the long-format date
+      // line never squeezes beside a text-2xl duration at 360px.
+      className="flex flex-col gap-3 sm:flex-row sm:items-start sm:gap-4"
+    >
+      <div className="flex min-w-0 items-start gap-4">
+        {renderSportIconBadge(workout.sportType)}
+        <div className="min-w-0 flex-1 space-y-1">
+          <p className="text-muted-foreground text-xs tracking-wide uppercase">
+            {workout.source}
+          </p>
+          <h2 className="truncate text-lg font-semibold sm:text-xl">
+            {sportName}
+          </h2>
+          <p className="text-muted-foreground text-sm">
+            {formatDateRange(
+              workout.startedAt,
+              workout.endedAt,
+              locale,
+              timeFormat,
+            )}
+          </p>
+        </div>
+      </div>
+      <div className="flex items-center gap-2 sm:flex-col sm:items-end sm:gap-0 sm:text-right">
+        <span className="text-2xl font-semibold tabular-nums">
+          {formatDuration(workout.durationSec)}
+        </span>
+        {workout.distanceM != null ? (
+          <span className="text-muted-foreground text-xs tabular-nums">
+            {formatDistanceKm(workout.distanceM, locale)} km
+          </span>
+        ) : null}
+      </div>
+    </header>
+  );
+}
@@ -0,0 +1,77 @@
+"use client";
+
+import dynamic from "next/dynamic";
+import { HeartPulse } from "lucide-react";
+import type { ComponentProps } from "react";
+
+import { Card, CardContent, CardHeader } from "@/components/ui/card";
+import { TileHeader } from "@/components/insights/tile-header";
+import { ChartErrorBoundary } from "@/components/charts/chart-error-state";
+import { ChartSkeleton } from "@/components/charts/chart-skeleton";
+import { importWithRetry } from "@/lib/retry-import";
+import { useTranslations } from "@/lib/i18n/context";
+import type { WorkoutDetailPayload } from "@/hooks/use-workouts";
+
+// Route the HR curve through the ONE recharts async boundary so the
+// library stays a single shared chunk (chart-runtime.ts header rule).
+const WorkoutHrChartLazy = dynamic(
+  () =>
+    importWithRetry(() => import("@/components/charts/chart-runtime")).then(
+      (mod) => ({ default: mod.WorkoutHrChart }),
+    ),
+  { ssr: false, loading: () => <ChartSkeleton /> },
+);
+function WorkoutHrChart(props: ComponentProps<typeof WorkoutHrChartLazy>) {
+  return (
+    <ChartErrorBoundary>
+      <WorkoutHrChartLazy {...props} />
+    </ChartErrorBoundary>
+  );
+}
+
+export interface WorkoutDetailHrSectionProps {
+  workout: WorkoutDetailPayload;
+}
+
+/**
+ * Heart-rate curve card — mean line + optional min→max envelope + %HRmax
+ * zone bands + an average-HR reference line. A muted provenance chip
+ * discloses when the curve was reconstructed from pulse data around the
+ * session rather than the workout's own sensor stream. Returns `null`
+ * when no series is available (hide, don't render empty).
+ */
+export function WorkoutDetailHrSection({
+  workout,
+}: WorkoutDetailHrSectionProps) {
+  const { t } = useTranslations();
+  const series = workout.hrSeries;
+  if (!series || series.points.length < 2) return null;
+
+  return (
+    <Card data-slot="workout-detail-hr">
+      <CardHeader className="gap-1">
+        <TileHeader
+          icon={HeartPulse}
+          title={t("insights.workouts.detail.hrChartTitle")}
+        />
+        {series.source === "pulse_window" ? (
+          <p
+            data-slot="workout-detail-hr-provenance"
+            className="text-muted-foreground text-xs"
+          >
+            {t("insights.workouts.detail.hrFromPulse")}
+          </p>
+        ) : null}
+      </CardHeader>
+      <CardContent>
+        <WorkoutHrChart
+          points={series.points}
+          bucketSec={series.bucketSec}
+          envelope={series.envelope}
+          avgHr={workout.avgHr}
+          zones={workout.zones?.zones ?? null}
+        />
+      </CardContent>
+    </Card>
+  );
+}
@@ -0,0 +1,17 @@
+/**
+ * Barrel for the workout-detail surface (#67). The former single
+ * `workout-detail.tsx` grew past a comfortable size once the HR curve,
+ * zones, route SVG, splits and day-links landed, so it was split into
+ * this directory. Import path stays `@/components/insights/workout-detail`.
+ */
+export { WorkoutDetailHeader } from "./header";
+export { WorkoutDetailStats } from "./stats";
+export { WorkoutDetailHrSection } from "./hr-section";
+export { WorkoutDetailZones } from "./zones";
+export { WorkoutDetailRoute } from "./route-map";
+export { WorkoutDetailSplits } from "./splits";
+export { WorkoutDetailDayLinks } from "./day-links";
+export {
+  WorkoutInsightCard,
+  type WorkoutActivityInsightData,
+} from "./insight-slot";
@@ -0,0 +1,49 @@
+"use client";
+
+import { Sparkles } from "lucide-react";
+
+import { Card, CardContent, CardHeader } from "@/components/ui/card";
+import { TileHeader } from "@/components/insights/tile-header";
+import { useTranslations } from "@/lib/i18n/context";
+
+/**
+ * Reserved Activity-Insight seam (strategic-concept Wave C, bet 5).
+ *
+ * NOTHING renders here today: the workout payload's `aiInsight` field is
+ * always `null`, so the page composes `{aiInsight ? <WorkoutInsightCard
+ * insight={aiInsight}/> : null}` and this component never mounts. The
+ * shape below is what the Phase-2 pg-boss job will write onto the
+ * workout row — when it lands, the server maps the row to `aiInsight`,
+ * the union in `use-workouts.ts` widens from `null` to
+ * `WorkoutActivityInsightData | null`, and the card mounts right under
+ * the hero header with zero layout rework. Non-diagnostic by
+ * construction: a descriptive paragraph, device-attributed, never a
+ * verdict.
+ */
+export interface WorkoutActivityInsightData {
+  /** The cached, plain-text insight paragraph. Rendered as text children. */
+  paragraph: string;
+  /** ISO timestamp the paragraph was generated. */
+  generatedAt: string;
+}
+
+export function WorkoutInsightCard({
+  insight,
+}: {
+  insight: WorkoutActivityInsightData;
+}) {
+  const { t } = useTranslations();
+  return (
+    <Card data-slot="workout-detail-insight">
+      <CardHeader>
+        <TileHeader
+          icon={Sparkles}
+          title={t("insights.workouts.detail.insightTitle")}
+        />
+      </CardHeader>
+      <CardContent>
+        <p className="text-sm leading-relaxed">{insight.paragraph}</p>
+      </CardContent>
+    </Card>
+  );
+}
@@ -0,0 +1,164 @@
+"use client";
+
+import { useMemo, type ComponentProps } from "react";
+import dynamic from "next/dynamic";
+import { Map as MapIcon, Download } from "lucide-react";
+
+import { Card, CardContent, CardHeader } from "@/components/ui/card";
+import { Button } from "@/components/ui/button";
+import { TileHeader } from "@/components/insights/tile-header";
+import { ChartErrorBoundary } from "@/components/charts/chart-error-state";
+import { importWithRetry } from "@/lib/retry-import";
+import { useTranslations } from "@/lib/i18n/context";
+import {
+  projectRoute,
+  buildElevationProfile,
+  buildGpxDocument,
+  type RouteCoordinate,
+} from "@/lib/workouts/route-svg";
+import type { WorkoutDetailPayload } from "@/hooks/use-workouts";
+
+const WorkoutElevationChartLazy = dynamic(
+  () =>
+    importWithRetry(() => import("@/components/charts/chart-runtime")).then(
+      (mod) => ({ default: mod.WorkoutElevationChart }),
+    ),
+  { ssr: false, loading: () => <div className="h-24 w-full" /> },
+);
+function WorkoutElevationChart(
+  props: ComponentProps<typeof WorkoutElevationChartLazy>,
+) {
+  return (
+    <ChartErrorBoundary>
+      <WorkoutElevationChartLazy {...props} />
+    </ChartErrorBoundary>
+  );
+}
+
+interface LineStringGeometry {
+  type: "LineString";
+  coordinates: RouteCoordinate[];
+}
+
+function isLineString(value: unknown): value is LineStringGeometry {
+  if (!value || typeof value !== "object") return false;
+  const v = value as Record<string, unknown>;
+  return v.type === "LineString" && Array.isArray(v.coordinates);
+}
+
+export interface WorkoutDetailRouteProps {
+  workout: WorkoutDetailPayload;
+}
+
+/**
+ * GPS route card — a self-rendered, aspect-true SVG polyline over the
+ * user's own stored geometry. Zero external requests: no tile server, no
+ * geocoder, nothing leaves the origin (binding privacy/CSP property).
+ * Start = filled `--success` dot, end = `--foreground` ring. Optional
+ * elevation profile below when the track carries altitude. A GPX export
+ * lets the user take their track with them — built client-side, zero
+ * egress. Returns `null` when there is no usable geometry (hide, don't
+ * render empty).
+ */
+export function WorkoutDetailRoute({ workout }: WorkoutDetailRouteProps) {
+  const { t } = useTranslations();
+  const geometry = workout.route?.geometry;
+  const coordinates = isLineString(geometry) ? geometry.coordinates : null;
+
+  const projected = useMemo(
+    () => (coordinates ? projectRoute(coordinates) : null),
+    [coordinates],
+  );
+  const elevation = useMemo(
+    () => (coordinates ? buildElevationProfile(coordinates) : null),
+    [coordinates],
+  );
+
+  if (!coordinates || !projected) return null;
+
+  const exportGpx = () => {
+    const gpx = buildGpxDocument({
+      coordinates,
+      timestamps: workout.route?.sampleTimestamps ?? null,
+      sportType: workout.sportType,
+      startedAt: workout.startedAt,
+    });
+    const blob = new Blob([gpx], { type: "application/gpx+xml" });
+    const url = URL.createObjectURL(blob);
+    const a = document.createElement("a");
+    a.href = url;
+    a.download = `workout-${workout.id}.gpx`;
+    document.body.appendChild(a);
+    a.click();
+    a.remove();
+    URL.revokeObjectURL(url);
+  };
+
+  const markerR = 1.6;
+
+  return (
+    <Card data-slot="workout-detail-route">
+      <CardHeader>
+        <TileHeader
+          icon={MapIcon}
+          title={t("insights.workouts.detail.routeTitle")}
+          right={
+            <Button
+              type="button"
+              variant="ghost"
+              size="sm"
+              onClick={exportGpx}
+              data-slot="workout-detail-gpx-export"
+            >
+              <Download className="size-4" aria-hidden="true" />
+              {t("insights.workouts.detail.exportGpx")}
+            </Button>
+          }
+        />
+      </CardHeader>
+      <CardContent className="space-y-3">
+        <svg
+          viewBox={projected.viewBox}
+          preserveAspectRatio="xMidYMid meet"
+          className="bg-muted/40 max-h-72 w-full rounded-md"
+          role="img"
+          aria-label={t("insights.workouts.detail.routeTitle")}
+        >
+          <path
+            d={projected.path}
+            fill="none"
+            stroke="var(--chart-1)"
+            strokeWidth={2}
+            strokeLinecap="round"
+            strokeLinejoin="round"
+            vectorEffect="non-scaling-stroke"
+          />
+          {/* End ring first so the start dot always sits on top on a loop. */}
+          <circle
+            cx={projected.end.x}
+            cy={projected.end.y}
+            r={markerR}
+            fill="none"
+            stroke="var(--foreground)"
+            strokeWidth={1}
+            vectorEffect="non-scaling-stroke"
+          />
+          <circle
+            cx={projected.start.x}
+            cy={projected.start.y}
+            r={markerR}
+            fill="var(--success)"
+          />
+        </svg>
+        {elevation ? (
+          <div data-slot="workout-detail-elevation">
+            <p className="text-muted-foreground mb-1 text-xs">
+              {t("insights.workouts.detail.elevationTitle")}
+            </p>
+            <WorkoutElevationChart points={elevation} />
+          </div>
+        ) : null}
+      </CardContent>
+    </Card>
+  );
+}
@@ -0,0 +1,81 @@
+"use client";
+
+import { Flag } from "lucide-react";
+
+import { Card, CardContent, CardHeader } from "@/components/ui/card";
+import { TileHeader } from "@/components/insights/tile-header";
+import { useTranslations } from "@/lib/i18n/context";
+import type { WorkoutDetailPayload } from "@/hooks/use-workouts";
+
+import { formatPaceSeconds } from "./format";
+
+function formatSplitTime(seconds: number): string {
+  const m = Math.floor(seconds / 60);
+  const s = Math.round(seconds % 60);
+  return `${m}:${s.toString().padStart(2, "0")}`;
+}
+
+export interface WorkoutDetailSplitsProps {
+  workout: WorkoutDetailPayload;
+}
+
+/**
+ * Per-kilometre splits table, derived server-side from the route
+ * geometry + timestamps. Returns `null` when the workout has no
+ * split data (hide, don't render empty). The fastest km is marked
+ * with a discreet muted accent — descriptive, not a verdict.
+ */
+export function WorkoutDetailSplits({ workout }: WorkoutDetailSplitsProps) {
+  const { t } = useTranslations();
+  const splits = workout.splits;
+  if (!splits || splits.length === 0) return null;
+
+  const fastest = Math.min(...splits.map((s) => s.paceSecPerKm));
+
+  return (
+    <Card data-slot="workout-detail-splits">
+      <CardHeader>
+        <TileHeader
+          icon={Flag}
+          title={t("insights.workouts.detail.splitsTitle")}
+        />
+      </CardHeader>
+      <CardContent>
+        <table className="w-full text-sm">
+          <thead>
+            <tr className="text-muted-foreground text-left text-xs">
+              <th className="pb-2 font-medium">
+                {t("insights.workouts.detail.splitsKm")}
+              </th>
+              <th className="pb-2 text-right font-medium">
+                {t("insights.workouts.detail.splitsTime")}
+              </th>
+              <th className="pb-2 text-right font-medium">
+                {t("insights.workouts.detail.splitsPace")}
+              </th>
+            </tr>
+          </thead>
+          <tbody>
+            {splits.map((s) => (
+              <tr key={s.km} className="border-t">
+                <td className="py-1.5 tabular-nums">{s.km}</td>
+                <td className="py-1.5 text-right tabular-nums">
+                  {formatSplitTime(s.durationSec)}
+                </td>
+                <td
+                  className={
+                    s.paceSecPerKm === fastest
+                      ? "py-1.5 text-right font-semibold tabular-nums"
+                      : "py-1.5 text-right tabular-nums"
+                  }
+                >
+                  {formatPaceSeconds(s.paceSecPerKm)}
+                </td>
+              </tr>
+            ))}
+          </tbody>
+        </table>
+      </CardContent>
+    </Card>
+  );
+}
@@ -0,0 +1,187 @@
+"use client";
+
+import type { ReactNode } from "react";
+import {
+  Flame,
+  Footprints,
+  HeartPulse,
+  Map,
+  Mountain,
+  Timer,
+} from "lucide-react";
+
+import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
+import { cn } from "@/lib/utils";
+import { useTranslations } from "@/lib/i18n/context";
+import type { WorkoutDetailPayload } from "@/hooks/use-workouts";
+
+import {
+  formatDuration,
+  formatDistanceKm,
+  formatNumber,
+  formatPaceMinPerKm,
+  formatDurationMinutes,
+} from "./format";
+
+interface StatTileProps {
+  icon: ReactNode;
+  label: string;
+  value: string;
+  hint?: string;
+}
+
+function StatTile({ icon, label, value, hint }: StatTileProps) {
+  return (
+    <div
+      data-slot="workout-detail-stat"
+      className="flex flex-col gap-1 rounded-lg border p-3"
+    >
+      <span className="text-muted-foreground flex items-center gap-1.5 text-xs">
+        <span aria-hidden="true" className="size-4">
+          {icon}
+        </span>
+        {label}
+      </span>
+      <span className="text-base font-semibold tabular-nums">{value}</span>
+      {hint ? (
+        <span className="text-muted-foreground text-xs">{hint}</span>
+      ) : null}
+    </div>
+  );
+}
+
+export interface WorkoutDetailStatsProps {
+  workout: WorkoutDetailPayload;
+}
+
+const PACE_SPORTS = new Set(["walking", "running", "hiking", "cycling"]);
+
+/**
+ * Build the muted own-history comparison line ("Your recent average:
+ * 5.8 km · 34 min · 148 bpm"). Own-history only — never a population
+ * comparison (non-diagnostic standard). Rendered only when at least two
+ * sessions of the sport exist, so it never restates the single workout
+ * you are already looking at.
+ */
+function sportAverageLine(
+  workout: WorkoutDetailPayload,
+  locale: string,
+): string | null {
+  const ctx = workout.sportContext;
+  if (!ctx || ctx.count < 2) return null;
+  const parts: string[] = [];
+  if (ctx.avgDistanceM != null && ctx.avgDistanceM > 0) {
+    parts.push(`${formatDistanceKm(ctx.avgDistanceM, locale)} km`);
+  }
+  parts.push(`${formatDurationMinutes(ctx.avgDurationSec, locale)} min`);
+  if (ctx.avgAvgHr != null) parts.push(`${ctx.avgAvgHr} bpm`);
+  return parts.join(" · ");
+}
+
+export function WorkoutDetailStats({ workout }: WorkoutDetailStatsProps) {
+  const { t, locale } = useTranslations();
+  const tiles: StatTileProps[] = [];
+
+  tiles.push({
+    icon: <Timer className="size-4" />,
+    label: t("insights.workouts.detail.statsDuration"),
+    value: formatDuration(workout.durationSec),
+  });
+
+  if (workout.distanceM != null && workout.distanceM > 0) {
+    tiles.push({
+      icon: <Map className="size-4" />,
+      label: t("insights.workouts.detail.statsDistance"),
+      value: `${formatDistanceKm(workout.distanceM, locale)} km`,
+    });
+  }
+
+  if (workout.activeEnergyKcal != null) {
+    tiles.push({
+      icon: <Flame className="size-4" />,
+      label: t("insights.workouts.detail.statsActiveEnergy"),
+      value: `${formatNumber(workout.activeEnergyKcal, locale)} kcal`,
+    });
+  }
+
+  if (workout.avgHr != null) {
+    tiles.push({
+      icon: <HeartPulse className="size-4" />,
+      label: t("insights.workouts.detail.statsAvgHr"),
+      value: `${workout.avgHr} bpm`,
+      hint:
+        workout.maxHr != null
+          ? `${t("insights.workouts.detail.statsMaxHr")}: ${workout.maxHr} bpm`
+          : undefined,
+    });
+  }
+
+  if (workout.minHr != null) {
+    tiles.push({
+      icon: <HeartPulse className="size-4" />,
+      label: t("insights.workouts.detail.statsMinHr"),
+      value: `${workout.minHr} bpm`,
+    });
+  }
+
+  if (workout.stepCount != null && workout.stepCount > 0) {
+    tiles.push({
+      icon: <Footprints className="size-4" />,
+      label: t("insights.workouts.detail.statsStepCount"),
+      value: formatNumber(workout.stepCount, locale),
+    });
+  }
+
+  if (workout.elevationM != null && workout.elevationM !== 0) {
+    tiles.push({
+      icon: <Mountain className="size-4" />,
+      label: t("insights.workouts.detail.statsElevation"),
+      value: `${formatNumber(workout.elevationM, locale, 1)} m`,
+    });
+  }
+
+  if (
+    workout.distanceM != null &&
+    workout.distanceM > 100 &&
+    PACE_SPORTS.has(workout.sportType)
+  ) {
+    tiles.push({
+      icon: <Timer className="size-4" />,
+      label: t("insights.workouts.detail.statsPace"),
+      value: formatPaceMinPerKm(workout.durationSec, workout.distanceM),
+    });
+  }
+
+  const averageLine = sportAverageLine(workout, locale);
+
+  return (
+    <Card data-slot="workout-detail-stats">
+      <CardHeader>
+        <CardTitle className="text-base">
+          {t("insights.workouts.detail.statsTitle")}
+        </CardTitle>
+      </CardHeader>
+      <CardContent className="space-y-3">
+        <div
+          className={cn(
+            "grid gap-2",
+            "grid-cols-2 sm:grid-cols-3 lg:grid-cols-4",
+          )}
+        >
+          {tiles.map((tile) => (
+            <StatTile key={tile.label} {...tile} />
+          ))}
+        </div>
+        {averageLine ? (
+          <p
+            data-slot="workout-detail-sport-average"
+            className="text-muted-foreground text-xs"
+          >
+            {t("insights.workouts.detail.sportAverageLabel")}{" "}
+            <span className="tabular-nums">{averageLine}</span>
+          </p>
+        ) : null}
+      </CardContent>
+    </Card>
+  );
+}
@@ -0,0 +1,98 @@
+"use client";
+
+import { Gauge } from "lucide-react";
+
+import { Card, CardContent, CardHeader } from "@/components/ui/card";
+import { TileHeader } from "@/components/insights/tile-header";
+import { useTranslations } from "@/lib/i18n/context";
+import type { WorkoutDetailPayload } from "@/hooks/use-workouts";
+
+const ZONE_COLORS = [
+  "var(--chart-1)",
+  "var(--chart-2)",
+  "var(--chart-3)",
+  "var(--chart-4)",
+  "var(--chart-5)",
+];
+
+function formatMinutes(seconds: number): string {
+  const m = Math.floor(seconds / 60);
+  const s = Math.round(seconds % 60);
+  return `${m}:${s.toString().padStart(2, "0")}`;
+}
+
+export interface WorkoutDetailZonesProps {
+  workout: WorkoutDetailPayload;
+}
+
+/**
+ * Effort-zone distribution — a single horizontal stacked bar (%HRmax
+ * zones) with minutes per zone underneath. Descriptive only: "how the
+ * effort was distributed", never a training prescription or cardiac
+ * read (non-diagnostic standard). Returns `null` when zones could not
+ * be derived (no profile age and no device zones).
+ */
+export function WorkoutDetailZones({ workout }: WorkoutDetailZonesProps) {
+  const { t } = useTranslations();
+  const zones = workout.zones;
+  if (!zones) return null;
+
+  const total = zones.zones.reduce((sum, z) => sum + z.seconds, 0);
+  if (total <= 0) return null;
+
+  return (
+    <Card data-slot="workout-detail-zones">
+      <CardHeader className="gap-1">
+        <TileHeader
+          icon={Gauge}
+          title={t("insights.workouts.detail.zonesTitle")}
+        />
+        <p className="text-muted-foreground text-xs">
+          {zones.model === "whoop"
+            ? t("insights.workouts.detail.zonesCaptionDevice")
+            : t("insights.workouts.detail.zonesCaption")}
+        </p>
+      </CardHeader>
+      <CardContent className="space-y-3">
+        <div
+          className="flex h-3 w-full overflow-hidden rounded-full"
+          role="img"
+          aria-label={t("insights.workouts.detail.zonesTitle")}
+        >
+          {zones.zones.map((z, i) =>
+            z.seconds > 0 ? (
+              <div
+                key={z.zone}
+                style={{
+                  width: `${(z.seconds / total) * 100}%`,
+                  backgroundColor: ZONE_COLORS[i],
+                }}
+              />
+            ) : null,
+          )}
+        </div>
+        <div className="grid grid-cols-5 gap-1 text-center">
+          {zones.zones.map((z, i) => (
+            <div key={z.zone} className="flex flex-col items-center gap-1">
+              <span
+                aria-hidden="true"
+                className="size-2 rounded-full"
+                style={{ backgroundColor: ZONE_COLORS[i] }}
+              />
+              <span className="text-xs font-medium">Z{z.zone}</span>
+              <span className="text-muted-foreground text-xs tabular-nums">
+                {formatMinutes(z.seconds)}
+              </span>
+              {z.lowBpm != null ? (
+                <span className="text-muted-foreground text-[10px] tabular-nums">
+                  {z.lowBpm}
+                  {z.highBpm != null ? `–${z.highBpm}` : "+"}
+                </span>
+              ) : null}
+            </div>
+          ))}
+        </div>
+      </CardContent>
+    </Card>
+  );
+}
@@ -1,6 +1,7 @@
 "use client";

 import Link from "next/link";
+import { Map as MapIcon, HeartPulse } from "lucide-react";

 import { cn } from "@/lib/utils";
 import { getNumberFormat, getDateTimeFormat } from "@/lib/intl/formatter-cache";
@@ -106,7 +107,26 @@ export function WorkoutList({ workouts, className }: WorkoutListProps) {
                <Icon className="size-4" />
              </span>
              <div className="flex min-w-0 flex-1 flex-col gap-0.5">
-                <span className="truncate font-medium">{sportName}</span>
+                <span className="flex items-center gap-1.5 truncate font-medium">
+                  {sportName}
+                  {/* #67 — discreet glyphs flag which sessions open rich
+                      (map / HR curve). Muted so they never compete with
+                      the sport name. */}
+                  {workout.hasRoute ? (
+                    <MapIcon
+                      className="text-muted-foreground size-3.5 shrink-0"
+                      aria-hidden="true"
+                      data-slot="workout-list-glyph-route"
+                    />
+                  ) : null}
+                  {workout.hasHrSeries ? (
+                    <HeartPulse
+                      className="text-muted-foreground size-3.5 shrink-0"
+                      aria-hidden="true"
+                      data-slot="workout-list-glyph-hr"
+                    />
+                  ) : null}
+                </span>
                <span className="text-muted-foreground truncate text-xs">
                  {formatDate(workout.startedAt, locale, timeFormat)}
                </span>
@@ -34,6 +34,14 @@ export interface WorkoutListEntry {
  maxHr: number | null;
  source: string;
  externalId: string | null;
+  /**
+   * #67 list glyphs — whether the workout opens into a rich detail with
+   * a map / HR curve. Optional so pre-#67 fixtures (and the dashboard
+   * recent-tile) still satisfy the type; the list endpoint always sends
+   * them.
+   */
+  hasRoute?: boolean;
+  hasHrSeries?: boolean;
 }

 export interface WorkoutListMeta {
@@ -118,6 +126,55 @@ export function useWorkouts(opts: UseWorkoutsOptions = {}): UseWorkoutsResult {
  };
 }

+export interface WorkoutHrSeriesPoint {
+  tSec: number;
+  mean: number;
+  min: number;
+  max: number;
+}
+
+export interface WorkoutHrSeriesDto {
+  source: "workout_series" | "pulse_window";
+  bucketSec: number;
+  points: WorkoutHrSeriesPoint[];
+  envelope: boolean;
+}
+
+export interface WorkoutZoneBandDto {
+  zone: number;
+  lowBpm: number | null;
+  highBpm: number | null;
+  seconds: number;
+}
+
+export interface WorkoutZonesDto {
+  model: "whoop" | "tanaka";
+  hrMax: number | null;
+  zones: WorkoutZoneBandDto[];
+}
+
+export interface WorkoutSplitDto {
+  km: number;
+  durationSec: number;
+  paceSecPerKm: number;
+}
+
+export interface WorkoutSportContextDto {
+  count: number;
+  avgDurationSec: number;
+  avgDistanceM: number | null;
+  avgAvgHr: number | null;
+}
+
+/**
+ * Reserved Activity-Insight payload (strategic-concept Wave C, bet 5).
+ * The wire field is `null` today; the Phase-2 job will populate it and
+ * the detail page's seam mounts a card with zero rework. Declared here
+ * so the type is stable in advance — widen the union (never change the
+ * seam shape) when the job ships.
+ */
+export type WorkoutActivityInsight = null;
+
 export interface WorkoutDetailPayload extends WorkoutListEntry {
  minHr: number | null;
  stepCount: number | null;
@@ -128,12 +185,25 @@ export interface WorkoutDetailPayload extends WorkoutListEntry {
    geometry: unknown;
    sampleTimestamps: string[] | null;
  } | null;
+  /**
+   * Raw per-workout HR sample envelope. `samples.samples` is dropped
+   * (null) under `compact=1` — the web curve reads `hrSeries` instead —
+   * but `sampleCount` is retained. Finally declared as of #67.
+   */
+  samples: { sampleCount: number; samples: unknown } | null;
+  hrSeries: WorkoutHrSeriesDto | null;
+  zones: WorkoutZonesDto | null;
+  splits: WorkoutSplitDto[] | null;
+  sportContext: WorkoutSportContextDto | null;
+  aiInsight: WorkoutActivityInsight;
  canonicalId: string;
 }

 async function fetchWorkoutDetail(id: string): Promise<WorkoutDetailPayload> {
+  // Web always sends `compact=1`: the SVG needs geometry, not the raw
+  // 30k-sample / route-timestamp blobs (those ride the iOS path only).
  return apiGet<WorkoutDetailPayload>(
-    `/api/workouts/${encodeURIComponent(id)}`,
+    `/api/workouts/${encodeURIComponent(id)}?compact=1`,
  );
 }

@@ -141,6 +211,8 @@ export interface UseWorkoutDetailResult {
  data: WorkoutDetailPayload | undefined;
  isLoading: boolean;
  error: Error | null;
+  /** Re-runs the query — the retry action for the detail error card. */
+  refetch: () => void;
 }

 export function useWorkoutDetail(id: string): UseWorkoutDetailResult {
@@ -155,5 +227,6 @@ export function useWorkoutDetail(id: string): UseWorkoutDetailResult {
    data: query.data,
    isLoading: query.isLoading,
    error: query.error as Error | null,
+    refetch: () => void query.refetch(),
  };
 }
@@ -63,6 +63,8 @@ import {
 import { resolveRestingPulseSeries } from "@/lib/analytics/resting-pulse";
 import { isNearUtc, userDayKey } from "@/lib/tz/resolver";
 import { wallClockInTz } from "@/lib/tz/wall-clock";
+import { defaultLocale, type Locale } from "@/lib/i18n/config";
+import { getServerTranslator } from "@/lib/i18n/server-translator";

 /**
 * v1.4.37 W2 — cold-path correlation window. Trim from 30 to 28 days
@@ -120,6 +122,12 @@ export interface CorrelationsFastPathInput {
  userTz: string;
  now: Date;
  coverage?: RollupCoverageMap;
+  /**
+   * Reader's locale for the three hypotheses' narrated `interpretation`. The
+   * correlation cards render these verbatim, so they must be localised. Defaults
+   * to English.
+   */
+  locale?: Locale;
 }

 export async function computeCorrelationHypothesesFastPath(
@@ -127,6 +135,7 @@ export async function computeCorrelationHypothesesFastPath(
 ): Promise<CorrelationHypothesesResult> {
  const DAY_MS = 24 * 60 * 60 * 1000;
  const { userId, userTz, now } = input;
+  const { t } = getServerTranslator(input.locale ?? defaultLocale);
  const since = new Date(now.getTime() - CORRELATION_WINDOW_DAYS * DAY_MS);

  const coverage = input.coverage ?? (await probeRollupCoverage(userId));
@@ -303,7 +312,7 @@ export async function computeCorrelationHypothesesFastPath(
      compliancePct,
    });
  }
-  const bpCompliance = correlateBpCompliance({ daily: bpCompliancePairs });
+  const bpCompliance = correlateBpCompliance({ daily: bpCompliancePairs }, t);

  // ── Hypothesis 2: Mood × resting pulse ──────────────────────
  const dailyMood = new Map<string, number[]>();
@@ -328,7 +337,7 @@ export async function computeCorrelationHypothesesFastPath(
      restingPulse,
    });
  }
-  const moodPulse = correlateMoodPulse({ daily: moodPulsePairs });
+  const moodPulse = correlateMoodPulse({ daily: moodPulsePairs }, t);

  // ── Hypothesis 3: Weight × weekday ──────────────────────────
  const weightWeekdayPairs: Array<{ weekday: number; weight: number }> = [];
@@ -339,7 +348,10 @@ export async function computeCorrelationHypothesesFastPath(
      weight: row.value,
    });
  }
-  const weightWeekday = correlateWeightWeekday({ daily: weightWeekdayPairs });
+  const weightWeekday = correlateWeightWeekday(
+    { daily: weightWeekdayPairs },
+    t,
+  );

  annotate({
    meta: {
@@ -117,15 +117,3 @@ export const ENVIRONMENT_FIELDS: readonly EnvironmentField[] = [
 ] as const;

 /** The correlation channel keys, in declaration order. */
-export const ENVIRONMENT_CHANNEL_KEYS: readonly string[] =
-  ENVIRONMENT_FIELDS.map((f) => f.key);
-
-/** True for a registered environmental channel key. */
-export function isEnvironmentChannelKey(key: string): boolean {
-  return ENVIRONMENT_CHANNEL_KEYS.includes(key);
-}
-
-/** Resolve a field by its key, or null when unregistered. */
-export function getEnvironmentField(key: string): EnvironmentField | null {
-  return ENVIRONMENT_FIELDS.find((f) => f.key === key) ?? null;
-}
@@ -365,6 +365,53 @@ describe("D2-2 — effect-size floor on discovered drivers", () => {
    expect(pair!.interpretation).not.toMatch(/tends to go with/);
    expect(pair!.interpretation).toMatch(/never a cause/);
  });
+
+  // ── i18n regression guard (v1.30.10) ─────────────────────────────────
+  //
+  // The generated-insight narrative layer built its user-facing sentences by
+  // TypeScript string interpolation and never routed through the i18n bundle,
+  // so a German UI rendered an English sentence spliced into German text. This
+  // pins the fix: with `locale: "de"` the interpretation is the German template
+  // (localised metric label + correctly-negated "keine Ursache"), NOT English.
+  it("narrates in the reader's locale — German, never the English string", () => {
+    const n = 90;
+    const behaviour = Array.from({ length: n }, (_, i) => i + (i % 4));
+    const outcome = [0, ...behaviour.slice(0, n - 1).map((v) => v * 2 + 5)];
+    const seriesInput: NamedSeries[] = [
+      {
+        key: "TIME_IN_DAYLIGHT",
+        role: "behaviour",
+        points: longSeries(behaviour),
+      },
+      { key: "SLEEP_DURATION", role: "outcome", points: longSeries(outcome) },
+    ];
+    const find = (r: ReturnType<typeof discoverCorrelations>) =>
+      r.discovered.find(
+        (p) =>
+          p.behaviour === "TIME_IN_DAYLIGHT" && p.outcome === "SLEEP_DURATION",
+      );
+
+    const de = find(discoverCorrelations(seriesInput, { locale: "de" }));
+    const en = find(discoverCorrelations(seriesInput, { locale: "en" }));
+    expect(de).toBeDefined();
+    expect(en).toBeDefined();
+
+    // German narration: localised metric labels + the German "high" template.
+    expect(de!.interpretation).toContain("die Zeit im Tageslicht");
+    expect(de!.interpretation).toContain("die Schlafdauer");
+    // The load-bearing, correctly-negated "not a cause" survives in German.
+    expect(de!.interpretation).toMatch(/keine Ursache/);
+    // And it is NOT the English leak the maintainer saw.
+    expect(de!.interpretation).not.toMatch(/tends to go with/);
+    expect(de!.interpretation).not.toMatch(
+      /a pattern worth watching, not a cause/,
+    );
+    expect(de!.interpretation).not.toEqual(en!.interpretation);
+
+    // English default stays exactly the established wording.
+    expect(en!.interpretation).toMatch(/tends to go with/);
+    expect(en!.interpretation).toMatch(/not a cause/);
+  });
 });

 // ── FDREXTEND — medication compliance + symptom severity channels ─────
@@ -39,10 +39,19 @@
 * link. The series builders live in `correlation-series-builders.ts`.
 */
 import { pearson, MIN_PAIRED_N } from "@/lib/insights/correlations";
-import {
-  getEnvironmentField,
-  isEnvironmentChannelKey,
-} from "@/lib/environment/fields";
+import { defaultLocale, type Locale } from "@/lib/i18n/config";
+import { getServerTranslator } from "@/lib/i18n/server-translator";
+
+/**
+ * Locale-aware string builder — the same signature the server translator
+ * exposes. Every user-facing narration in this module routes through one of
+ * these so the sentence is emitted in the reader's language, not hardcoded
+ * English. Falls back to English (then the raw key) inside the translator.
+ */
+type Translate = (
+  key: string,
+  params?: Record<string, string | number>,
+) => string;

 /** Default Benjamini-Hochberg target false-discovery rate. */
 export const FDR_Q = 0.1;
@@ -288,46 +297,64 @@ export function benjaminiHochberg(
 * Sign of `r` flips the direction; the `tier` (RECON1 D2-2 / D2-6) flips the
 * CONFIDENCE of the phrasing so a faint effect reads as "a faint hint, if
 * anything" rather than a confident "tends to go with". Never claims causation.
+ *
+ * The sentence is assembled from locale-keyed templates under
+ * `insights.correlation.daily.*` (+ a per-locale direction word) so the calm,
+ * never-causal framing survives verbatim in every language rather than leaking
+ * English into a non-English UI.
 */
 function interpret(
  behaviour: string,
  outcome: string,
  r: number,
  tier: ConfidenceTier,
+  t: Translate,
 ): string {
-  const b = humanise(behaviour);
-  const o = humanise(outcome);
-  const lower = r < 0 ? "lower" : "higher";
-  if (tier === "faint") {
-    // Below the confident effect-size threshold: a real-but-small signal,
-    // hedged so the narrated confidence never outruns the effect.
-    return `Higher ${b} shows a faint hint, if anything, of ${lower} next-day ${o} in your data — too small to lean on, never a cause.`;
-  }
-  const lead =
-    tier === "high"
-      ? `Higher ${b} tends to go with ${lower} next-day ${o} in your data`
-      : `Higher ${b} looks like it goes with ${lower} next-day ${o} in your data, on the evidence so far`;
-  return `${lead} — a pattern worth watching, not a cause.`;
+  const params = {
+    behaviour: humanise(behaviour, t),
+    outcome: humanise(outcome, t),
+    direction: t(
+      `insights.correlation.direction.${r < 0 ? "lower" : "higher"}`,
+    ),
+  };
+  // faint = below the confident effect-size threshold (a real-but-small signal,
+  // hedged); high = confident "tends to go with"; moderate = the in-between
+  // "on the evidence so far" phrasing. Each tier keeps its own template.
+  const tierKey =
+    tier === "faint" ? "faint" : tier === "high" ? "high" : "moderate";
+  return t(`insights.correlation.daily.${tierKey}`, params);
 }

 /**
- * Lower-case, space-separated label from a channel key.
+ * Localised, human-readable label for a channel key.
 *
 * v1.14.0 — a `FACTOR:<key>` channel (a RATED mood factor folded into the
 * matrix) strips its namespace prefix so the phrasing reads "rated <factor>"
 * rather than leaking the raw key. The prefix exists only to keep a factor
- * key from colliding with a `MeasurementType` in the channel set.
+ * key from colliding with a `MeasurementType` in the channel set. The factor
+ * name itself is user data, kept verbatim (lower-cased) inside the localised
+ * `channelFactor` frame.
+ *
+ * Every other channel (measurement types, MOOD, medication compliance, symptom
+ * severity, and the ENV_* exposure channels) resolves through a stable
+ * `insights.correlation.channel.<KEY>` label, translated in all six locales.
+ * An unknown key falls back to its prettified form so a newly-added channel
+ * never blanks.
 */
-function humanise(key: string): string {
-  if (key.startsWith("FACTOR:")) {
-    return `rated ${key.slice("FACTOR:".length).replace(/[_-]/g, " ").toLowerCase()}`;
+function humanise(key: string, t: Translate): string {
+  if (key.startsWith(FACTOR_CHANNEL_PREFIX)) {
+    const factor = key
+      .slice(FACTOR_CHANNEL_PREFIX.length)
+      .replace(/[_-]/g, " ")
+      .toLowerCase();
+    return t("insights.correlation.channelFactor", { factor });
  }
-  // v1.25 (W-ENV) — env channels read with their descriptive label ("daily
-  // temperature", "daylight") rather than the raw "env temp mean" key.
-  if (isEnvironmentChannelKey(key)) {
-    return getEnvironmentField(key)?.narrationLabel ?? key.toLowerCase();
-  }
-  return key.replace(/_/g, " ").toLowerCase();
+  const labelKey = `insights.correlation.channel.${key}`;
+  const label = t(labelKey);
+  // The server translator echoes the key on a miss; fall back to a readable
+  // prettified form so an unmapped channel degrades gracefully, never English-
+  // leaks a raw key.
+  return label === labelKey ? key.replace(/_/g, " ").toLowerCase() : label;
 }

 /** Namespace prefix for a RATED-mood-factor discovery channel (v1.14.0). */
@@ -402,11 +429,26 @@ export function discoveryMeasurementTypes(keys: readonly string[]): string[] {
 */
 export function discoverCorrelations(
  series: NamedSeries[],
-  opts: { lagDays?: number; minPairs?: number; fdrQ?: number } = {},
+  opts: {
+    lagDays?: number;
+    minPairs?: number;
+    fdrQ?: number;
+    /**
+     * Reader's locale for the narrated `interpretation`. Defaults to English
+     * so the many server callers that feed the string into an LLM prompt (which
+     * re-localises) keep their existing behaviour; the user-facing correlations
+     * route passes the resolved locale so the card renders in the reader's
+     * language.
+     */
+    locale?: Locale;
+  } = {},
 ): CorrelationDiscoveryResult {
  const lagDays = opts.lagDays ?? 1;
  const minPairs = opts.minPairs ?? MIN_PAIRED_N;
  const fdrQ = opts.fdrQ ?? FDR_Q;
+  // Named `translate` (not `t`) — the pair-mapping callbacks below bind `t` to
+  // the RawPair element, so the translator must not shadow-collide with them.
+  const { t: translate } = getServerTranslator(opts.locale ?? defaultLocale);

  const behaviours = series.filter((s) => s.role === "behaviour");
  const outcomes = series.filter((s) => s.role === "outcome");
@@ -469,7 +511,7 @@ export function discoverCorrelations(
      qValue: Math.round(t.qValue * 1000) / 1000,
      shrunkR: Math.round(t.shrunkR * 1000) / 1000,
      tier: t.tier,
-      interpretation: interpret(t.behaviour, t.outcome, t.r, t.tier),
+      interpretation: interpret(t.behaviour, t.outcome, t.r, t.tier, translate),
      lagDays,
    }))
    // RECON1 (D2-2 / D4) — rank by the SHRUNK effect magnitude (a deep, strong
@@ -650,6 +692,8 @@ export function discoverEmergingCorrelations(
    lagDays?: number;
    minPairs?: number;
    fdrQ?: number;
+    /** Reader's locale, threaded to the inner scan's narration. */
+    locale?: Locale;
  },
 ): EmergingCorrelationResult {
  const windowDays = opts.windowDays ?? EARLY_WINDOW_DAYS;
@@ -661,6 +705,7 @@ export function discoverEmergingCorrelations(
    lagDays: opts.lagDays,
    minPairs,
    fdrQ,
+    locale: opts.locale,
  });

  const established = new Set(
@@ -810,12 +855,16 @@ export function discoverLabOutcomeCorrelations(
    minDraws?: number;
    minWindowPoints?: number;
    fdrQ?: number;
+    /** Reader's locale for the narrated `interpretation`. Defaults to English. */
+    locale?: Locale;
  } = {},
 ): LabCorrelationResult {
  const windowDays = opts.windowDays ?? LAB_OUTCOME_WINDOW_DAYS;
  const minDraws = opts.minDraws ?? LAB_MIN_DRAWS;
  const minWindowPoints = opts.minWindowPoints ?? LAB_MIN_WINDOW_POINTS;
  const fdrQ = opts.fdrQ ?? FDR_Q;
+  // Named `translate` — the pair-mapping callback below binds `t` to its element.
+  const { t: translate } = getServerTranslator(opts.locale ?? defaultLocale);

  // Group draws by biomarker key (newest-irrelevant; Pearson is order-free).
  const drawsByLab = new Map<string, LabDrawPoint[]>();
@@ -902,7 +951,7 @@ export function discoverLabOutcomeCorrelations(
      pValue: t.pValue,
      qValue: Math.round(t.qValue * 1000) / 1000,
      windowDays,
-      interpretation: interpretLab(t.lab, t.outcome, t.r, t.tier),
+      interpretation: interpretLab(t.lab, t.outcome, t.r, t.tier, translate),
    }))
    .sort((a, b) => Math.abs(b.r) - Math.abs(a.r) || a.qValue - b.qValue);

@@ -928,12 +977,16 @@ function interpretLab(
  outcome: string,
  r: number,
  tier: ConfidenceTier,
+  t: Translate,
 ): string {
-  const l = humaniseLab(lab);
-  const o = humanise(outcome);
-  const dir = r < 0 ? "lower" : "higher";
-  if (tier === "faint") {
-    return `Higher ${l} readings show a faint hint, if anything, of ${dir} ${o} over the same periods in your data — too small to lean on, an association to raise with your clinician, never a cause.`;
-  }
-  return `Higher ${l} readings line up with ${dir} ${o} over the same periods in your data — an association worth watching with your clinician, never a cause.`;
+  const params = {
+    // The analyte name is user data — kept verbatim inside the localised frame.
+    lab: humaniseLab(lab),
+    outcome: humanise(outcome, t),
+    direction: t(
+      `insights.correlation.direction.${r < 0 ? "lower" : "higher"}`,
+    ),
+  };
+  const tierKey = tier === "faint" ? "faint" : "default";
+  return t(`insights.correlation.lab.${tierKey}`, params);
 }
@@ -34,8 +34,44 @@
 *
 * Conservative phrasing — interpretations always read as "a pattern worth
 * watching" or similar, never "X causes Y". Causation language is banned
- * from this module by code-review convention.
+ * from this module by code-review convention. Every user-facing interpretation
+ * is assembled from locale-keyed templates under `insights.correlation.*` so
+ * the never-causal framing survives verbatim in all six locales rather than
+ * leaking English into a non-English UI.
 */
+import { defaultLocale } from "@/lib/i18n/config";
+import { getServerTranslator } from "@/lib/i18n/server-translator";
+
+/** Locale-aware string builder — mirrors the server translator's `t`. */
+type Translate = (
+  key: string,
+  params?: Record<string, string | number>,
+) => string;
+
+/**
+ * English by default so the pure callers + unit tests that pass no locale keep
+ * their existing (English) output; the analytics route threads the reader's
+ * locale through the fast-path so the cards render in the reader's language.
+ */
+function defaultTranslate(): Translate {
+  return getServerTranslator(defaultLocale).t;
+}
+
+/**
+ * Weekday index (0 = Monday … 6 = Sunday, the order the ANOVA outlier index
+ * uses) → the shared `charts.weekdaysFull.*` label key, reused so the weekday
+ * name is already localised in every bundle.
+ */
+const WEEKDAY_LABEL_KEYS = [
+  "mon",
+  "tue",
+  "wed",
+  "thu",
+  "fri",
+  "sat",
+  "sun",
+] as const;
+
 export type CorrelationKind = "bp-compliance" | "mood-pulse" | "weight-weekday";

 export interface CorrelationConfidenceBand {
@@ -612,6 +648,7 @@ export interface BpComplianceInput {
 */
 export function correlateBpCompliance(
  input: BpComplianceInput,
+  t: Translate = defaultTranslate(),
 ): CorrelationResult {
  const points = input.daily.map((d) => ({
    x: d.compliancePct,
@@ -640,10 +677,10 @@ export function correlateBpCompliance(
  }
  const interpretation =
    r.r < -0.1
-      ? "Higher medication compliance lines up with lower systolic readings — a pattern worth watching."
+      ? t("insights.correlation.hypothesis.bpCompliance.support")
      : r.r > 0.1
-        ? "Compliance and systolic move together in your data — surprising; talk to your doctor before adjusting anything."
-        : "Compliance and systolic do not move together strongly in this window.";
+        ? t("insights.correlation.hypothesis.bpCompliance.surprising")
+        : t("insights.correlation.hypothesis.bpCompliance.none");
  return {
    kind: "bp-compliance",
    status: "ok",
@@ -673,7 +710,10 @@ export interface MoodPulseInput {
 * Runs Pearson on (mood, restingPulse). A negative r supports the
 * hypothesis (mood down → pulse up).
 */
-export function correlateMoodPulse(input: MoodPulseInput): CorrelationResult {
+export function correlateMoodPulse(
+  input: MoodPulseInput,
+  t: Translate = defaultTranslate(),
+): CorrelationResult {
  const points = input.daily.map((d) => ({ x: d.mood, y: d.restingPulse }));
  const xs = points.map((p) => p.x);
  const ys = points.map((p) => p.y);
@@ -698,10 +738,10 @@ export function correlateMoodPulse(input: MoodPulseInput): CorrelationResult {
  }
  const interpretation =
    r.r < -0.1
-      ? "Lower-mood days line up with higher resting pulse — a pattern worth watching."
+      ? t("insights.correlation.hypothesis.moodPulse.support")
      : r.r > 0.1
-        ? "Higher-mood days line up with higher resting pulse in your data — surprising."
-        : "Mood and resting pulse do not move together strongly in this window.";
+        ? t("insights.correlation.hypothesis.moodPulse.surprising")
+        : t("insights.correlation.hypothesis.moodPulse.none");
  return {
    kind: "mood-pulse",
    status: "ok",
@@ -726,16 +766,6 @@ export interface WeightWeekdayInput {
  daily: ReadonlyArray<{ weekday: number; weight: number }>;
 }

-const WEEKDAY_LABELS = [
-  "Monday",
-  "Tuesday",
-  "Wednesday",
-  "Thursday",
-  "Friday",
-  "Saturday",
-  "Sunday",
-] as const;
-
 /**
 * Hypothesis #3 — weight has a weekly pattern (e.g. Monday spikes
 * after weekends).
@@ -745,6 +775,7 @@ const WEEKDAY_LABELS = [
 */
 export function correlateWeightWeekday(
  input: WeightWeekdayInput,
+  t: Translate = defaultTranslate(),
 ): CorrelationResult {
  const points = input.daily.map((d) => ({ x: d.weekday, y: d.weight }));
  const anova = weekdayAnova(
@@ -768,13 +799,21 @@ export function correlateWeightWeekday(
      points,
    };
  }
-  const dayLabel = WEEKDAY_LABELS[anova.outlierIndex];
+  const dayLabel = t(
+    `charts.weekdaysFull.${WEEKDAY_LABEL_KEYS[anova.outlierIndex]}`,
+  );
  const grandMean =
    input.daily.reduce((s, p) => s + p.weight, 0) / input.daily.length;
  const outlierMean = anova.means[anova.outlierIndex] ?? grandMean;
-  const direction = outlierMean > grandMean ? "above" : "below";
+  const direction = t(
+    `insights.correlation.weekdayDirection.${outlierMean > grandMean ? "above" : "below"}`,
+  );
  const delta = Math.abs(outlierMean - grandMean).toFixed(1);
-  const interpretation = `${dayLabel} weights run ${delta} kg ${direction} your other-day average — a pattern worth watching.`;
+  const interpretation = t("insights.correlation.hypothesis.weightWeekday", {
+    weekday: dayLabel,
+    delta,
+    direction,
+  });

  return {
    kind: "weight-weekday",
@@ -56,6 +56,9 @@ const workoutListEntry = z
    maxHr: z.number().int().nullable(),
    source: measurementSourceEnum,
    externalId: z.string().nullable(),
+    // #67 list glyphs — flags which sessions open into a rich detail.
+    hasRoute: z.boolean(),
+    hasHrSeries: z.boolean(),
  })
  .meta({ id: "WorkoutListEntry" });

@@ -89,6 +92,61 @@ const workoutHrSeries = z
  })
  .meta({ id: "WorkoutHrSeries" });

+// #67 — per-workout HR curve, one DTO with explicit provenance. Stored
+// `WorkoutSamples` series first, raw PULSE-window reconstruction second.
+const workoutHrCurve = z
+  .object({
+    source: z.enum(["workout_series", "pulse_window"]),
+    bucketSec: z.number().int().positive(),
+    points: z.array(
+      z.object({
+        tSec: z.number().int().nonnegative(),
+        mean: z.number().int(),
+        min: z.number().int(),
+        max: z.number().int(),
+      }),
+    ),
+    envelope: z.boolean(),
+  })
+  .meta({ id: "WorkoutHrCurve" });
+
+// #67 — effort-zone distribution. WHOOP device durations win; else a
+// %HRmax fold from the HR curve when profile age exists.
+const workoutZones = z
+  .object({
+    model: z.enum(["whoop", "tanaka"]),
+    hrMax: z.number().int().nullable(),
+    zones: z.array(
+      z.object({
+        zone: z.number().int().min(1).max(5),
+        lowBpm: z.number().int().nullable(),
+        highBpm: z.number().int().nullable(),
+        seconds: z.number().int().nonnegative(),
+      }),
+    ),
+  })
+  .meta({ id: "WorkoutZones" });
+
+// #67 — per-kilometre splits, derived server-side from geometry +
+// timestamps so the raw timestamp blob can be dropped under `compact=1`.
+const workoutSplit = z
+  .object({
+    km: z.number().int().positive(),
+    durationSec: z.number().int().nonnegative(),
+    paceSecPerKm: z.number().int().nonnegative(),
+  })
+  .meta({ id: "WorkoutSplit" });
+
+// #67 — own-history average for the sport (comparison line).
+const workoutSportContext = z
+  .object({
+    count: z.number().int().nonnegative(),
+    avgDurationSec: z.number().int().nonnegative(),
+    avgDistanceM: z.number().nullable(),
+    avgAvgHr: z.number().int().nullable(),
+  })
+  .meta({ id: "WorkoutSportContext" });
+
 const workoutDetailResponse = z
  .object({
    id: z.string(),
@@ -109,6 +167,15 @@ const workoutDetailResponse = z
    metadata: z.unknown().nullable(),
    route: workoutRouteGeometry.nullable(),
    samples: workoutHrSeries.nullable(),
+    // #67 enrichment — additive; absent from a pre-enrichment client's
+    // expectations, opt-in `compact=1` only trims the raw blobs above.
+    hrSeries: workoutHrCurve.nullable(),
+    zones: workoutZones.nullable(),
+    splits: z.array(workoutSplit).nullable(),
+    sportContext: workoutSportContext.nullable(),
+    // Reserved Activity-Insight seam — always null until the Phase-2 job
+    // populates it. Typed here so the wire contract is stable in advance.
+    aiInsight: z.null(),
    canonicalId: z.string(),
  })
  .meta({ id: "WorkoutDetailResponse" });
@@ -147,9 +214,12 @@ export const workoutPaths: NonNullable<ZodOpenApiObject["paths"]> = {
      tags: ["Measurements"],
      summary: "Workout detail (v1.4.32)",
      description:
-        "Single-workout envelope. Owns the optional `WorkoutRoute` GeoJSON geometry + `canonicalId` pointer that resolves to the cluster winner so deep-links into non-canonical twin rows can redirect cleanly. Cross-user rows surface as 404 (existence channel sealed).",
+        "Single-workout envelope. Owns the optional `WorkoutRoute` GeoJSON geometry + `canonicalId` pointer that resolves to the cluster winner so deep-links into non-canonical twin rows can redirect cleanly. Additive enrichment fields (`hrSeries`, `zones`, `splits`, `sportContext`, reserved `aiInsight`) are computed server-side. `compact=1` (sent by the web client) drops the raw `samples.samples` HR blob and `route.sampleTimestamps` array from the response; without it the payload is byte-identical to the v1.4.32 contract. Cross-user rows surface as 404 (existence channel sealed).",
      requestParams: {
        path: z.object({ id: z.string() }),
+        query: z.object({
+          compact: z.enum(["1"]).optional(),
+        }),
      },
      responses: {
        "200": {
@@ -0,0 +1,157 @@
+import { describe, it, expect, vi, beforeEach } from "vitest";
+
+const findMany = vi.fn();
+
+vi.mock("@/lib/db", () => ({
+  prisma: { measurement: { findMany: (...a: unknown[]) => findMany(...a) } },
+}));
+
+import {
+  adaptiveBucketSec,
+  foldHrBuckets,
+  buildWorkoutHrSeries,
+} from "@/lib/workouts/hr-series";
+
+const START = new Date("2026-05-15T07:00:00Z");
+const startMs = START.getTime();
+
+/** Stored-sample entries at `+seconds` offsets from START. */
+function storedSample(seconds: number, hr: number) {
+  return { t: new Date(startMs + seconds * 1000).toISOString(), hr };
+}
+
+beforeEach(() => {
+  findMany.mockReset();
+});
+
+describe("adaptiveBucketSec", () => {
+  it("clamps to [5, 60]", () => {
+    expect(adaptiveBucketSec(300)).toBe(5); // ceil(1.25)=2 → floored to 5
+    expect(adaptiveBucketSec(1800)).toBe(8);
+    expect(adaptiveBucketSec(6 * 3600)).toBe(60); // ceil(90)=90 → capped 60
+  });
+});
+
+describe("foldHrBuckets", () => {
+  it("buckets by elapsed time and drops samples outside the session", () => {
+    const samples = [
+      { tMs: startMs - 5000, hr: 200 }, // before start → dropped
+      { tMs: startMs + 1000, hr: 100 },
+      { tMs: startMs + 2000, hr: 120 },
+      { tMs: startMs + 11000, hr: 150 },
+      { tMs: startMs + 60000, hr: 130 }, // == durationSec → dropped (half-open)
+    ];
+    const { points, bucketCount } = foldHrBuckets(samples, startMs, 60, 10);
+    expect(bucketCount).toBe(6);
+    // bucket 0 holds the two early samples → mean 110, min 100, max 120.
+    expect(points[0]).toEqual({ tSec: 0, mean: 110, min: 100, max: 120 });
+    // bucket 1 holds the +11s sample.
+    expect(points[1]).toEqual({ tSec: 10, mean: 150, min: 150, max: 150 });
+    expect(points).toHaveLength(2); // gaps stay as gaps
+  });
+
+  it("reports median per-bucket density for the envelope decision", () => {
+    const samples = [
+      { tMs: startMs + 0, hr: 100 },
+      { tMs: startMs + 1000, hr: 110 },
+      { tMs: startMs + 2000, hr: 120 },
+      { tMs: startMs + 3000, hr: 130 },
+    ];
+    const { medianDensity } = foldHrBuckets(samples, startMs, 60, 10);
+    expect(medianDensity).toBe(4);
+  });
+});
+
+describe("buildWorkoutHrSeries", () => {
+  const base = {
+    userId: "u1",
+    startedAt: START,
+    endedAt: new Date(startMs + 600_000), // 10 min
+    durationSec: 600,
+    now: new Date(startMs + 600_000 + 1000),
+  };
+
+  it("prefers the stored series and never touches the DB", async () => {
+    const stored = Array.from({ length: 40 }, (_, i) =>
+      storedSample(i * 15, 120 + (i % 5)),
+    );
+    const result = await buildWorkoutHrSeries({
+      ...base,
+      storedSamples: stored,
+    });
+    expect(result).not.toBeNull();
+    expect(result!.source).toBe("workout_series");
+    expect(result!.bucketSec).toBe(adaptiveBucketSec(600));
+    expect(result!.points.length).toBeGreaterThanOrEqual(2);
+    expect(findMany).not.toHaveBeenCalled();
+  });
+
+  it("marks the envelope when buckets are dense", async () => {
+    // ~8 samples per bucket (1 Hz over an 8 s bucket) → well above the
+    // density floor, so the min→max envelope band renders.
+    const stored: ReturnType<typeof storedSample>[] = [];
+    for (let s = 0; s < 600; s += 1) stored.push(storedSample(s, 140));
+    const result = await buildWorkoutHrSeries({
+      ...base,
+      storedSamples: stored,
+    });
+    expect(result!.envelope).toBe(true);
+  });
+
+  it("falls back to the pulse window when no stored series exists", async () => {
+    // Dense PULSE rows across the whole session → passes the gate.
+    const rows = Array.from({ length: 60 }, (_, i) => ({
+      value: 130 + (i % 7),
+      measuredAt: new Date(startMs + i * 10_000),
+      externalId: null,
+    }));
+    findMany.mockResolvedValue(rows);
+    const result = await buildWorkoutHrSeries({ ...base, storedSamples: null });
+    expect(findMany).toHaveBeenCalledOnce();
+    expect(result).not.toBeNull();
+    expect(result!.source).toBe("pulse_window");
+  });
+
+  it("hides (returns null) when the window has too few samples", async () => {
+    findMany.mockResolvedValue([
+      { value: 120, measuredAt: new Date(startMs + 1000), externalId: null },
+      { value: 122, measuredAt: new Date(startMs + 2000), externalId: null },
+    ]);
+    const result = await buildWorkoutHrSeries({ ...base, storedSamples: null });
+    expect(result).toBeNull();
+  });
+
+  it("hides when bucket coverage is below 40 %", async () => {
+    // 10 samples all clustered in the first minute of a 10-minute run →
+    // enough raw samples, but coverage is ~1 bucket of ~75.
+    const rows = Array.from({ length: 10 }, (_, i) => ({
+      value: 120 + i,
+      measuredAt: new Date(startMs + i * 500),
+      externalId: null,
+    }));
+    findMany.mockResolvedValue(rows);
+    const result = await buildWorkoutHrSeries({ ...base, storedSamples: null });
+    expect(result).toBeNull();
+  });
+
+  it("excludes consolidated stats: rows from the fallback", async () => {
+    const rows = Array.from({ length: 20 }, (_, i) => ({
+      value: 130,
+      measuredAt: new Date(startMs + i * 20_000),
+      externalId: "stats:HKQuantityTypeIdentifierHeartRate:2026-05-15T07",
+    }));
+    findMany.mockResolvedValue(rows);
+    const result = await buildWorkoutHrSeries({ ...base, storedSamples: null });
+    expect(result).toBeNull();
+  });
+
+  it("skips the fallback for workouts older than the retention window", async () => {
+    const old = {
+      ...base,
+      now: new Date(startMs + 100 * 24 * 60 * 60 * 1000),
+    };
+    const result = await buildWorkoutHrSeries({ ...old, storedSamples: null });
+    expect(result).toBeNull();
+    expect(findMany).not.toHaveBeenCalled();
+  });
+});
@@ -0,0 +1,168 @@
+import { describe, it, expect } from "vitest";
+
+import {
+  projectRoute,
+  rdpSimplify,
+  buildElevationProfile,
+  haversineMeters,
+  buildGpxDocument,
+  type RouteCoordinate,
+} from "@/lib/workouts/route-svg";
+
+/** A ring of `n` points around (lon0, lat0) with per-axis degree radii. */
+function ring(
+  lon0: number,
+  lat0: number,
+  dLon: number,
+  dLat: number,
+  n = 40,
+): RouteCoordinate[] {
+  const out: RouteCoordinate[] = [];
+  for (let i = 0; i <= n; i++) {
+    const a = (i / n) * 2 * Math.PI;
+    out.push([lon0 + dLon * Math.cos(a), lat0 + dLat * Math.sin(a)]);
+  }
+  return out;
+}
+
+describe("projectRoute cos(midLat) correction", () => {
+  it("squashes the longitude axis by cos(midLat) at 50°N", () => {
+    // A box twice as wide in DEGREES of longitude as in latitude. In
+    // real metres a degree of longitude at 50°N is only cos(50°) as long
+    // as a degree of latitude, so the projected aspect (ySpan/xSpan) must
+    // be 1 / (2·cos(50°)) ≈ 0.778 — NOT the uncorrected 0.5 the old
+    // normalisation produced. Both stay inside the [0.4, 1.4] clamp band.
+    const box = ring(11.0, 50.0, 0.02, 0.01, 30);
+    const projected = projectRoute(box);
+    expect(projected).not.toBeNull();
+    const aspect = projected!.height / projected!.width;
+    const corrected = 1 / (2 * Math.cos(50 * (Math.PI / 180))); // ≈ 0.778
+    expect(aspect).toBeGreaterThan(corrected * 0.95);
+    expect(aspect).toBeLessThan(corrected * 1.05);
+    // And distinctly above the uncorrected 0.5 the stretch bug gave.
+    expect(aspect).toBeGreaterThan(0.6);
+  });
+
+  it("clamps an extreme out-and-back sliver to the minimum height", () => {
+    // A near-straight east-west line — ySpan ≈ 0 → the aspect clamp
+    // floors the height at 40 rather than a 0-tall sliver.
+    const coords: RouteCoordinate[] = [];
+    for (let i = 0; i < 30; i++)
+      coords.push([11.0 + i * 0.001, 50.0 + i * 1e-6]);
+    const projected = projectRoute(coords);
+    expect(projected).not.toBeNull();
+    expect(projected!.height).toBe(40);
+    expect(projected!.viewBox).toBe("0 0 100 40.00");
+  });
+
+  it("rejects a degenerate point-shaped route (< 10 points)", () => {
+    expect(
+      projectRoute([
+        [11, 50],
+        [11.0001, 50.0001],
+        [11.0002, 50.0002],
+      ]),
+    ).toBeNull();
+  });
+
+  it("rejects a route whose real-world span is under ~30 m", () => {
+    // 15 points but jittering inside a ~5 m box.
+    const coords: RouteCoordinate[] = [];
+    for (let i = 0; i < 15; i++) {
+      coords.push([11.0 + i * 0.00001, 50.0 + (i % 2) * 0.00001]);
+    }
+    expect(projectRoute(coords)).toBeNull();
+  });
+
+  it("emits start and end markers and a valid path", () => {
+    const box = ring(11.0, 50.0, 0.02, 0.02, 30);
+    const projected = projectRoute(box)!;
+    expect(projected.path.startsWith("M")).toBe(true);
+    expect(projected.pointCount).toBeGreaterThanOrEqual(4);
+    expect(projected.start).toHaveProperty("x");
+    expect(projected.end).toHaveProperty("y");
+  });
+});
+
+describe("rdpSimplify", () => {
+  it("collapses collinear points but keeps corners", () => {
+    const line: Array<[number, number]> = [
+      [0, 0],
+      [1, 0],
+      [2, 0],
+      [3, 0],
+      [3, 3],
+    ];
+    const out = rdpSimplify(line, 0.01);
+    // The four collinear x-axis points collapse to the two endpoints of
+    // that run; the corner at [3,0] and the terminus [3,3] survive.
+    expect(out).toEqual([
+      [0, 0],
+      [3, 0],
+      [3, 3],
+    ]);
+  });
+
+  it("never drops the first or last point", () => {
+    const line: Array<[number, number]> = Array.from(
+      { length: 100 },
+      (_, i) => [i, Math.sin(i)],
+    );
+    const out = rdpSimplify(line, 0.5);
+    expect(out[0]).toEqual(line[0]);
+    expect(out[out.length - 1]).toEqual(line[line.length - 1]);
+    expect(out.length).toBeLessThan(line.length);
+  });
+});
+
+describe("buildElevationProfile", () => {
+  it("returns a cumulative-distance profile when ≥ 60 % carry altitude", () => {
+    const coords: RouteCoordinate[] = [
+      [11.0, 50.0, 300],
+      [11.001, 50.0, 305],
+      [11.002, 50.0, 310],
+      [11.003, 50.0, 315],
+    ];
+    const profile = buildElevationProfile(coords)!;
+    expect(profile).toHaveLength(4);
+    expect(profile[0].distanceM).toBe(0);
+    expect(profile[3].distanceM).toBeGreaterThan(profile[0].distanceM);
+    expect(profile[3].altitude).toBe(315);
+  });
+
+  it("returns null below the altitude-coverage threshold", () => {
+    const coords: RouteCoordinate[] = [
+      [11.0, 50.0, 300],
+      [11.001, 50.0],
+      [11.002, 50.0],
+      [11.003, 50.0],
+    ];
+    expect(buildElevationProfile(coords)).toBeNull();
+  });
+});
+
+describe("haversineMeters", () => {
+  it("measures ~111 km for one degree of latitude", () => {
+    const d = haversineMeters(11, 50, 11, 51);
+    expect(d).toBeGreaterThan(110_000);
+    expect(d).toBeLessThan(112_000);
+  });
+});
+
+describe("buildGpxDocument", () => {
+  it("emits trkpt elements with elevation and time when present", () => {
+    const gpx = buildGpxDocument({
+      coordinates: [
+        [11.0, 50.0, 300],
+        [11.001, 50.001, 305],
+      ],
+      timestamps: ["2026-05-15T07:00:00Z", "2026-05-15T07:00:05Z"],
+      sportType: "running",
+      startedAt: "2026-05-15T07:00:00Z",
+    });
+    expect(gpx).toContain('<gpx version="1.1"');
+    expect(gpx).toContain('lat="50" lon="11"');
+    expect(gpx).toContain("<ele>300</ele>");
+    expect(gpx).toContain("<time>2026-05-15T07:00:05Z</time>");
+  });
+});
@@ -0,0 +1,55 @@
+import { describe, it, expect } from "vitest";
+
+import { computeSplits } from "@/lib/workouts/splits";
+import type { RouteCoordinate } from "@/lib/workouts/route-svg";
+
+/**
+ * Build a straight eastward track of `n` evenly spaced points spanning
+ * `totalKm`, with `secPerKm` pace. One degree of longitude at 50°N is
+ * ~71.7 km, but we anchor the math on the actual haversine distance the
+ * function computes, so we just space points and let the boundaries
+ * fall out.
+ */
+function track(
+  totalMeters: number,
+  n: number,
+  totalSeconds: number,
+): { coords: RouteCoordinate[]; timestamps: string[] } {
+  const coords: RouteCoordinate[] = [];
+  const timestamps: string[] = [];
+  const lat = 0; // equator → a degree of lon ≈ 111.32 km, easy to reason about
+  const startMs = Date.parse("2026-05-15T07:00:00Z");
+  const totalDeg = totalMeters / 111_320; // metres → degrees lon at equator
+  for (let i = 0; i <= n; i++) {
+    const f = i / n;
+    coords.push([f * totalDeg, lat]);
+    timestamps.push(new Date(startMs + f * totalSeconds * 1000).toISOString());
+  }
+  return { coords, timestamps };
+}
+
+describe("computeSplits", () => {
+  it("returns one split per full kilometre with interpolated pace", () => {
+    // 3.2 km in 960 s → 300 s/km even pace; three full-km boundaries.
+    const { coords, timestamps } = track(3200, 320, 960);
+    const splits = computeSplits(coords, timestamps)!;
+    expect(splits).toHaveLength(3);
+    expect(splits[0].km).toBe(1);
+    for (const s of splits) {
+      expect(s.paceSecPerKm).toBeGreaterThan(285);
+      expect(s.paceSecPerKm).toBeLessThan(315);
+      expect(s.durationSec).toBe(s.paceSecPerKm);
+    }
+  });
+
+  it("returns null without aligned timestamps", () => {
+    const { coords } = track(3000, 300, 900);
+    expect(computeSplits(coords, null)).toBeNull();
+    expect(computeSplits(coords, ["2026-05-15T07:00:00Z"])).toBeNull();
+  });
+
+  it("returns null under one full kilometre", () => {
+    const { coords, timestamps } = track(400, 50, 120);
+    expect(computeSplits(coords, timestamps)).toBeNull();
+  });
+});
@@ -0,0 +1,122 @@
+import { describe, it, expect } from "vitest";
+
+import {
+  computeZones,
+  parseWhoopZoneDurations,
+  hrMaxFromAge,
+} from "@/lib/workouts/zones";
+import type { HrSeriesPoint } from "@/lib/workouts/hr-series";
+
+function pt(tSec: number, mean: number): HrSeriesPoint {
+  return { tSec, mean, min: mean, max: mean };
+}
+
+describe("hrMaxFromAge", () => {
+  it("applies Tanaka and rounds", () => {
+    expect(hrMaxFromAge(40)).toBe(180); // 208 − 0.7·40
+    expect(hrMaxFromAge(null)).toBeNull();
+  });
+});
+
+describe("computeZones — %HRmax (tanaka)", () => {
+  const hrMax = 180; // age 40 → Z1 90-108, Z3 126-144, Z5 162+
+
+  it("folds series buckets into %HRmax zones by mean HR", () => {
+    const series = [
+      pt(0, 100), // 55 % → Z1
+      pt(10, 135), // 75 % → Z3
+      pt(20, 140), // 78 % → Z3
+      pt(30, 170), // 94 % → Z5
+    ];
+    const zones = computeZones({
+      hrMax,
+      series,
+      bucketSec: 10,
+      whoopZoneDurations: null,
+    })!;
+    expect(zones.model).toBe("tanaka");
+    expect(zones.hrMax).toBe(180);
+    const byZone = Object.fromEntries(
+      zones.zones.map((z) => [z.zone, z.seconds]),
+    );
+    expect(byZone[1]).toBe(10);
+    expect(byZone[3]).toBe(20);
+    expect(byZone[5]).toBe(10);
+    expect(byZone[2]).toBe(0);
+    // Bounds carry bpm edges; the top zone is open-ended.
+    const z5 = zones.zones.find((z) => z.zone === 5)!;
+    expect(z5.lowBpm).toBe(162);
+    expect(z5.highBpm).toBeNull();
+  });
+
+  it("excludes below-Z1 (rest) time and returns null when all rest", () => {
+    const series = [pt(0, 80), pt(10, 85)]; // < 50 % HRmax
+    expect(
+      computeZones({ hrMax, series, bucketSec: 10, whoopZoneDurations: null }),
+    ).toBeNull();
+  });
+
+  it("returns null without profile age", () => {
+    expect(
+      computeZones({
+        hrMax: null,
+        series: [pt(0, 140)],
+        bucketSec: 10,
+        whoopZoneDurations: null,
+      }),
+    ).toBeNull();
+  });
+});
+
+describe("computeZones — WHOOP wins", () => {
+  it("uses device-reported durations over the computed series", () => {
+    const zones = computeZones({
+      hrMax: 180,
+      series: [pt(0, 140)],
+      bucketSec: 10,
+      whoopZoneDurations: [60, 120, 180, 240, 300],
+    })!;
+    expect(zones.model).toBe("whoop");
+    const seconds = zones.zones.map((z) => z.seconds);
+    expect(seconds).toEqual([60, 120, 180, 240, 300]);
+    // Bounds still resolve from HRmax when age is known.
+    expect(zones.zones[0].lowBpm).toBe(90);
+  });
+
+  it("carries null bounds when HRmax is unknown but WHOOP zones exist", () => {
+    const zones = computeZones({
+      hrMax: null,
+      series: [],
+      bucketSec: 10,
+      whoopZoneDurations: [10, 20, 30, 40, 50],
+    })!;
+    expect(zones.model).toBe("whoop");
+    expect(zones.hrMax).toBeNull();
+    expect(zones.zones[0].lowBpm).toBeNull();
+  });
+});
+
+describe("parseWhoopZoneDurations", () => {
+  it("maps zone_one..zone_five milliseconds to Z1..Z5 seconds", () => {
+    const parsed = parseWhoopZoneDurations({
+      zoneDurations: {
+        zone_zero_milli: 900000,
+        zone_one_milli: 60000,
+        zone_two_milli: 120000,
+        zone_three_milli: 0,
+        zone_four_milli: 0,
+        zone_five_milli: 30000,
+      },
+    });
+    expect(parsed).toEqual([60, 120, 0, 0, 30]);
+  });
+
+  it("returns null for absent, malformed, or all-zero durations", () => {
+    expect(parseWhoopZoneDurations(null)).toBeNull();
+    expect(parseWhoopZoneDurations({})).toBeNull();
+    expect(parseWhoopZoneDurations({ zoneDurations: "nope" })).toBeNull();
+    expect(
+      parseWhoopZoneDurations({ zoneDurations: { zone_one_milli: 0 } }),
+    ).toBeNull();
+  });
+});
@@ -0,0 +1,239 @@
+/**
+ * Per-workout heart-rate curve — one server code path, one DTO with
+ * explicit provenance.
+ *
+ * Source priority (strict):
+ *   1. `WorkoutSamples` (stored series) — the session's own sensor
+ *      stream, highest fidelity. Used whenever the parsed series yields
+ *      ≥ 2 usable HR points.
+ *   2. Pulse-window reconstruction — raw `PULSE` measurement rows in
+ *      `[startedAt − 5 min, endedAt + 5 min]`, bucketed at session
+ *      grain. Only attempted for workouts younger than the dense
+ *      retention window (beyond it only hourly folds survive, which are
+ *      useless for a session curve), and only when the fallback quality
+ *      gate passes.
+ *   3. Nothing — the caller hides the HR-curve card. The avg/max/min
+ *      aggregates already live in the stats grid; an empty chart lies.
+ *
+ * The fallback gate keeps the same posture as the tension detector:
+ * silence over speculation. A watchless ride with two opportunistic BPM
+ * readings must not paint a two-point "curve".
+ */
+import { prisma } from "@/lib/db";
+
+/** Dense raw-PULSE retention. Older days keep only hourly folds. */
+const DENSE_INTRADAY_RETENTION_DAYS = 90;
+/** ± padding around the session for the fallback window. */
+const WINDOW_PAD_MS = 5 * 60 * 1000;
+/** Defensive read cap — dense accounts emit ~1 PULSE sample/second. */
+const MAX_WINDOW_PULSE_ROWS = 6000;
+/** Fallback gate: raw samples required in the padded window. */
+const MIN_FALLBACK_SAMPLES = 8;
+/** Fallback gate: fraction of session buckets that must be non-empty. */
+const MIN_BUCKET_COVERAGE = 0.4;
+/** Envelope band renders once buckets are dense enough to be meaningful. */
+const ENVELOPE_MIN_MEDIAN_DENSITY = 3;
+
+export type HrSeriesSource = "workout_series" | "pulse_window";
+
+export interface HrSeriesPoint {
+  /** Elapsed seconds from the workout start (bucket left edge). */
+  tSec: number;
+  mean: number;
+  min: number;
+  max: number;
+}
+
+export interface WorkoutHrSeries {
+  source: HrSeriesSource;
+  bucketSec: number;
+  points: HrSeriesPoint[];
+  /**
+   * True when per-bucket density supports a min→max envelope band —
+   * this is what makes intervals read as spiky instead of averaged
+   * away. Below the threshold the chart draws the mean line only.
+   */
+  envelope: boolean;
+}
+
+interface RawHrSample {
+  tMs: number;
+  hr: number;
+}
+
+function clamp(value: number, lo: number, hi: number): number {
+  return Math.max(lo, Math.min(hi, value));
+}
+
+/**
+ * Adaptive bucket width targeting a constant on-screen density: a
+ * 20-minute HIIT and a 6-hour ride both land at ≤ ~240–480 points.
+ */
+export function adaptiveBucketSec(durationSec: number): number {
+  return clamp(Math.ceil(durationSec / 240), 5, 60);
+}
+
+function median(values: number[]): number {
+  if (values.length === 0) return 0;
+  const sorted = [...values].sort((a, b) => a - b);
+  const mid = Math.floor(sorted.length / 2);
+  return sorted.length % 2 === 0
+    ? (sorted[mid - 1] + sorted[mid]) / 2
+    : sorted[mid];
+}
+
+/**
+ * Fold raw HR samples into session-grain buckets. Samples outside the
+ * session window `[0, durationSec)` are dropped from the curve (they
+ * only widen the DB query so a boundary reading still lands in bucket
+ * 0 / the last bucket). Empty buckets stay as gaps — no interpolation.
+ * Pure; exported for unit testing.
+ */
+export function foldHrBuckets(
+  samples: readonly RawHrSample[],
+  startMs: number,
+  durationSec: number,
+  bucketSec: number,
+): { points: HrSeriesPoint[]; bucketCount: number; medianDensity: number } {
+  const bucketCount = Math.max(1, Math.ceil(durationSec / bucketSec));
+  const acc = new Map<
+    number,
+    { sum: number; min: number; max: number; n: number }
+  >();
+  for (const s of samples) {
+    const rel = (s.tMs - startMs) / 1000;
+    if (rel < 0 || rel >= durationSec) continue;
+    const idx = Math.floor(rel / bucketSec);
+    const bucket = acc.get(idx);
+    if (bucket) {
+      bucket.sum += s.hr;
+      bucket.n += 1;
+      if (s.hr < bucket.min) bucket.min = s.hr;
+      if (s.hr > bucket.max) bucket.max = s.hr;
+    } else {
+      acc.set(idx, { sum: s.hr, min: s.hr, max: s.hr, n: 1 });
+    }
+  }
+  const points: HrSeriesPoint[] = [];
+  const densities: number[] = [];
+  for (const [idx, b] of [...acc.entries()].sort((a, c) => a[0] - c[0])) {
+    points.push({
+      tSec: idx * bucketSec,
+      mean: Math.round(b.sum / b.n),
+      min: b.min,
+      max: b.max,
+    });
+    densities.push(b.n);
+  }
+  return { points, bucketCount, medianDensity: median(densities) };
+}
+
+/**
+ * Parse the stored `WorkoutSamples.samples` JSONB into usable HR
+ * samples. The blob is validated at ingest against
+ * `workoutHrSamplesSchema`, so this stays a lean, defensive read rather
+ * than a full re-validation of up to 30 000 rows.
+ */
+function parseStoredSamples(raw: unknown): RawHrSample[] {
+  if (!Array.isArray(raw)) return [];
+  const out: RawHrSample[] = [];
+  for (const entry of raw) {
+    if (!entry || typeof entry !== "object") continue;
+    const rec = entry as Record<string, unknown>;
+    const hr = rec.hr;
+    const t = rec.t;
+    if (typeof hr !== "number" || !Number.isFinite(hr)) continue;
+    if (typeof t !== "string") continue;
+    const tMs = Date.parse(t);
+    if (!Number.isFinite(tMs)) continue;
+    out.push({ tMs, hr });
+  }
+  return out;
+}
+
+export interface WorkoutHrSeriesInput {
+  userId: string;
+  startedAt: Date;
+  endedAt: Date;
+  durationSec: number;
+  storedSamples: unknown;
+  /** Reference clock for the retention cut — defaults to `now`. */
+  now?: Date;
+}
+
+/**
+ * Resolve the workout's HR curve. Returns `null` when neither a stored
+ * series nor an adequate pulse window exists.
+ */
+export async function buildWorkoutHrSeries(
+  input: WorkoutHrSeriesInput,
+): Promise<WorkoutHrSeries | null> {
+  const { userId, startedAt, endedAt, durationSec, storedSamples } = input;
+  const now = input.now ?? new Date();
+  const startMs = startedAt.getTime();
+  const bucketSec = adaptiveBucketSec(durationSec);
+
+  // 1. Stored series — the native, highest-fidelity path.
+  const stored = parseStoredSamples(storedSamples);
+  if (stored.length >= 2) {
+    const { points, medianDensity } = foldHrBuckets(
+      stored,
+      startMs,
+      durationSec,
+      bucketSec,
+    );
+    if (points.length >= 2) {
+      return {
+        source: "workout_series",
+        bucketSec,
+        points,
+        envelope: medianDensity >= ENVELOPE_MIN_MEDIAN_DENSITY,
+      };
+    }
+  }
+
+  // 2. Pulse-window fallback — only within the dense-retention horizon.
+  const ageDays = (now.getTime() - startMs) / (24 * 60 * 60 * 1000);
+  if (ageDays > DENSE_INTRADAY_RETENTION_DAYS) return null;
+
+  const windowStart = new Date(startMs - WINDOW_PAD_MS);
+  const windowEnd = new Date(endedAt.getTime() + WINDOW_PAD_MS);
+  const rows = await prisma.measurement.findMany({
+    where: {
+      userId,
+      type: "PULSE",
+      deletedAt: null,
+      measuredAt: { gte: windowStart, lte: windowEnd },
+    },
+    orderBy: { measuredAt: "asc" },
+    take: MAX_WINDOW_PULSE_ROWS,
+    select: { value: true, measuredAt: true, externalId: true },
+  });
+
+  // Raw per-sample rows only — a consolidated `stats:` fold is a day
+  // shape, not a session reading.
+  const raw: RawHrSample[] = rows
+    .filter((r) => !r.externalId?.startsWith("stats:"))
+    .map((r) => ({ tMs: r.measuredAt.getTime(), hr: r.value }));
+
+  // Gate part 1: enough raw samples in the padded window.
+  if (raw.length < MIN_FALLBACK_SAMPLES) return null;
+
+  const { points, bucketCount, medianDensity } = foldHrBuckets(
+    raw,
+    startMs,
+    durationSec,
+    bucketSec,
+  );
+
+  // Gate part 2: enough of the session is actually covered.
+  if (points.length / bucketCount < MIN_BUCKET_COVERAGE) return null;
+  if (points.length < 2) return null;
+
+  return {
+    source: "pulse_window",
+    bucketSec,
+    points,
+    envelope: medianDensity >= ENVELOPE_MIN_MEDIAN_DENSITY,
+  };
+}
@@ -0,0 +1,353 @@
+/**
+ * Client-safe route geometry math for the workout-detail map.
+ *
+ * PURE — no Prisma, no server imports, no Node APIs. It runs in the
+ * browser bundle (the v1.29 client/server-boundary lesson) and turns a
+ * stored GeoJSON `LineString` into an inline SVG polyline plus optional
+ * elevation profile and a GPX export blob. Nothing here reaches the
+ * network: the whole point of self-rendering the route is that the
+ * user's track never leaves the origin (binding privacy/CSP decision —
+ * no tile server, ever).
+ *
+ * Projection is equirectangular with a single `cos(midLat)` longitude
+ * scale factor. At workout scale (≤ a few tens of km) that is visually
+ * exact; the previous uncorrected normalisation stretched a route ~40 %
+ * horizontally at 50° N (a circular circuit read as an ellipse). The
+ * correction squashes the longitude axis by `cos(midLat)` so one screen
+ * unit east equals one screen unit north in real metres.
+ */
+
+export type RouteCoordinate =
+  [number, number] | [number, number, number] | number[];
+
+export interface RoutePoint {
+  x: number;
+  y: number;
+}
+
+export interface ProjectedRoute {
+  /** SVG path data (`M … L …`) in viewBox units. */
+  path: string;
+  /** `0 0 W H` — W is fixed at 100, H is the aspect-derived, clamped height. */
+  viewBox: string;
+  width: number;
+  height: number;
+  /** Start marker position (viewBox units). */
+  start: RoutePoint;
+  /** End marker position (viewBox units). */
+  end: RoutePoint;
+  /** Number of points after RDP downsampling. */
+  pointCount: number;
+}
+
+export interface ElevationPoint {
+  /** Cumulative distance from the route start, metres. */
+  distanceM: number;
+  /** Altitude, metres. */
+  altitude: number;
+}
+
+const DEG_TO_RAD = Math.PI / 180;
+const METERS_PER_DEG_LAT = 111_320;
+
+/** viewBox width — fixed; height rides the projected aspect ratio. */
+const VIEW_W = 100;
+/** Aspect clamp so a straight out-and-back can't render as a 4 px sliver. */
+const MIN_H = 40;
+const MAX_H = 140;
+/** Guards against a degenerate "route" (an indoor session's 3 GPS pings). */
+const MIN_POINTS = 10;
+const MIN_SPAN_M = 30;
+/** Shape-preserving downsample ceiling. */
+const MAX_RENDER_POINTS = 1200;
+
+function isFiniteNumber(v: unknown): v is number {
+  return typeof v === "number" && Number.isFinite(v);
+}
+
+/**
+ * Pull the `[lon, lat]` pairs out of a GeoJSON `LineString`'s
+ * coordinates, dropping any malformed entry. Altitude (3rd element) is
+ * ignored here — `buildElevationProfile` reads it separately.
+ */
+export function extractLonLat(
+  coordinates: readonly RouteCoordinate[],
+): Array<[number, number]> {
+  const out: Array<[number, number]> = [];
+  for (const c of coordinates) {
+    if (!Array.isArray(c) || c.length < 2) continue;
+    const lon = c[0];
+    const lat = c[1];
+    if (!isFiniteNumber(lon) || !isFiniteNumber(lat)) continue;
+    if (Math.abs(lon) > 180 || Math.abs(lat) > 90) continue;
+    out.push([lon, lat]);
+  }
+  return out;
+}
+
+/** Great-circle distance between two lon/lat points, metres. */
+export function haversineMeters(
+  aLon: number,
+  aLat: number,
+  bLon: number,
+  bLat: number,
+): number {
+  const R = 6_371_000;
+  const dLat = (bLat - aLat) * DEG_TO_RAD;
+  const dLon = (bLon - aLon) * DEG_TO_RAD;
+  const lat1 = aLat * DEG_TO_RAD;
+  const lat2 = bLat * DEG_TO_RAD;
+  const h =
+    Math.sin(dLat / 2) ** 2 +
+    Math.cos(lat1) * Math.cos(lat2) * Math.sin(dLon / 2) ** 2;
+  return 2 * R * Math.asin(Math.min(1, Math.sqrt(h)));
+}
+
+/** Perpendicular distance from `p` to the segment `a→b` (planar). */
+function perpDistance(
+  p: [number, number],
+  a: [number, number],
+  b: [number, number],
+): number {
+  const [px, py] = p;
+  const [ax, ay] = a;
+  const [bx, by] = b;
+  const dx = bx - ax;
+  const dy = by - ay;
+  const lenSq = dx * dx + dy * dy;
+  if (lenSq === 0) return Math.hypot(px - ax, py - ay);
+  let t = ((px - ax) * dx + (py - ay) * dy) / lenSq;
+  t = Math.max(0, Math.min(1, t));
+  return Math.hypot(px - (ax + t * dx), py - (ay + t * dy));
+}
+
+/**
+ * Ramer–Douglas–Peucker line simplification. Keeps switchbacks that a
+ * naive stride would erase. Iterative (an explicit stack) so a
+ * 20 000-point ultra can't blow the call stack.
+ */
+export function rdpSimplify(
+  points: ReadonlyArray<[number, number]>,
+  tolerance: number,
+): Array<[number, number]> {
+  if (points.length <= 2 || tolerance <= 0) return points.slice();
+  const keep = new Uint8Array(points.length);
+  keep[0] = 1;
+  keep[points.length - 1] = 1;
+  const stack: Array<[number, number]> = [[0, points.length - 1]];
+  while (stack.length > 0) {
+    const [first, last] = stack.pop() as [number, number];
+    let maxDist = 0;
+    let index = -1;
+    for (let i = first + 1; i < last; i++) {
+      const d = perpDistance(points[i], points[first], points[last]);
+      if (d > maxDist) {
+        maxDist = d;
+        index = i;
+      }
+    }
+    if (maxDist > tolerance && index !== -1) {
+      keep[index] = 1;
+      stack.push([first, index]);
+      stack.push([index, last]);
+    }
+  }
+  const out: Array<[number, number]> = [];
+  for (let i = 0; i < points.length; i++) if (keep[i]) out.push(points[i]);
+  return out;
+}
+
+/** Uniform stride down to at most `max` points (post-RDP safety cap). */
+function strideTo<T>(points: readonly T[], max: number): T[] {
+  if (points.length <= max) return points.slice();
+  const step = points.length / max;
+  const out: T[] = [];
+  for (let i = 0; i < max; i++) out.push(points[Math.floor(i * step)]);
+  const last = points[points.length - 1];
+  if (out[out.length - 1] !== last) out.push(last);
+  return out;
+}
+
+/**
+ * Project a GeoJSON LineString into an aspect-true, downsampled SVG
+ * path. Returns `null` for a degenerate route (too few points or a
+ * bounding box under ~30 m) — the caller then hides the route card
+ * rather than painting a meaningless dot.
+ */
+export function projectRoute(
+  coordinates: readonly RouteCoordinate[],
+): ProjectedRoute | null {
+  const lonLat = extractLonLat(coordinates);
+  if (lonLat.length < MIN_POINTS) return null;
+
+  let minLon = Infinity;
+  let maxLon = -Infinity;
+  let minLat = Infinity;
+  let maxLat = -Infinity;
+  for (const [lon, lat] of lonLat) {
+    if (lon < minLon) minLon = lon;
+    if (lon > maxLon) maxLon = lon;
+    if (lat < minLat) minLat = lat;
+    if (lat > maxLat) maxLat = lat;
+  }
+
+  const midLat = (minLat + maxLat) / 2;
+  const cosMid = Math.cos(midLat * DEG_TO_RAD);
+
+  // Real-world span (metres) — the small-route guard rejects the indoor
+  // session that logged a couple of stationary GPS pings.
+  const spanXm = (maxLon - minLon) * cosMid * METERS_PER_DEG_LAT;
+  const spanYm = (maxLat - minLat) * METERS_PER_DEG_LAT;
+  if (Math.hypot(spanXm, spanYm) < MIN_SPAN_M) return null;
+
+  // Projected coordinates: longitude squashed by cos(midLat); latitude
+  // flipped so SVG y grows downward.
+  const projected: Array<[number, number]> = lonLat.map(([lon, lat]) => [
+    (lon - minLon) * cosMid,
+    maxLat - lat,
+  ]);
+
+  const xSpanRaw = (maxLon - minLon) * cosMid || 1e-9;
+  // RDP tolerance derived from the projected bbox (spec: xSpan / 2000).
+  let simplified = rdpSimplify(projected, xSpanRaw / 2000);
+  if (simplified.length > MAX_RENDER_POINTS) {
+    simplified = strideTo(simplified, MAX_RENDER_POINTS);
+  }
+
+  // Projected bbox of the (simplified) track + 5 % padding per side.
+  let pMinX = Infinity;
+  let pMaxX = -Infinity;
+  let pMinY = Infinity;
+  let pMaxY = -Infinity;
+  for (const [x, y] of simplified) {
+    if (x < pMinX) pMinX = x;
+    if (x > pMaxX) pMaxX = x;
+    if (y < pMinY) pMinY = y;
+    if (y > pMaxY) pMaxY = y;
+  }
+  const rawXSpan = pMaxX - pMinX || 1e-9;
+  const rawYSpan = pMaxY - pMinY || 1e-9;
+  const padX = rawXSpan * 0.05;
+  const padY = rawYSpan * 0.05;
+  pMinX -= padX;
+  pMaxX += padX;
+  pMinY -= padY;
+  pMaxY += padY;
+  const xSpan = pMaxX - pMinX;
+  const ySpan = pMaxY - pMinY;
+
+  // Height rides the true aspect ratio (uniform scale when unclamped);
+  // the clamp only bites on extreme slivers, where the intentional
+  // distortion trades geographic fidelity for on-screen readability.
+  const height = Math.max(MIN_H, Math.min(MAX_H, (VIEW_W * ySpan) / xSpan));
+  const scaleX = VIEW_W / xSpan;
+  const scaleY = height / ySpan;
+
+  const toVB = ([x, y]: [number, number]): RoutePoint => ({
+    x: (x - pMinX) * scaleX,
+    y: (y - pMinY) * scaleY,
+  });
+
+  const vbPoints = simplified.map(toVB);
+  const path = vbPoints
+    .map((p, i) => `${i === 0 ? "M" : "L"}${p.x.toFixed(2)} ${p.y.toFixed(2)}`)
+    .join(" ");
+
+  return {
+    path,
+    viewBox: `0 0 ${VIEW_W} ${height.toFixed(2)}`,
+    width: VIEW_W,
+    height,
+    start: vbPoints[0],
+    end: vbPoints[vbPoints.length - 1],
+    pointCount: vbPoints.length,
+  };
+}
+
+/** Fraction of coordinates that carry a finite altitude (3rd element). */
+function altitudeCoverage(coordinates: readonly RouteCoordinate[]): number {
+  if (coordinates.length === 0) return 0;
+  let withAlt = 0;
+  for (const c of coordinates) {
+    if (Array.isArray(c) && c.length >= 3 && isFiniteNumber(c[2])) withAlt++;
+  }
+  return withAlt / coordinates.length;
+}
+
+/** Minimum altitude coverage before an elevation profile is honest. */
+export const ELEVATION_COVERAGE_THRESHOLD = 0.6;
+
+/**
+ * Build a cumulative-distance elevation profile when at least 60 % of
+ * coordinates carry altitude. Below the threshold partial altimeter
+ * data would draw a lie, so this returns `null` and the caller omits
+ * the profile.
+ */
+export function buildElevationProfile(
+  coordinates: readonly RouteCoordinate[],
+): ElevationPoint[] | null {
+  if (altitudeCoverage(coordinates) < ELEVATION_COVERAGE_THRESHOLD) return null;
+  const out: ElevationPoint[] = [];
+  let cumulative = 0;
+  let prev: [number, number] | null = null;
+  for (const c of coordinates) {
+    if (!Array.isArray(c) || c.length < 3) continue;
+    const lon = c[0];
+    const lat = c[1];
+    const alt = c[2];
+    if (!isFiniteNumber(lon) || !isFiniteNumber(lat) || !isFiniteNumber(alt)) {
+      continue;
+    }
+    if (prev) cumulative += haversineMeters(prev[0], prev[1], lon, lat);
+    out.push({ distanceM: cumulative, altitude: alt });
+    prev = [lon, lat];
+  }
+  return out.length >= 2 ? out : null;
+}
+
+function escapeXml(value: string): string {
+  return value
+    .replace(/&/g, "&amp;")
+    .replace(/</g, "&lt;")
+    .replace(/>/g, "&gt;")
+    .replace(/"/g, "&quot;");
+}
+
+/**
+ * Serialise the route geometry to a GPX 1.1 document, entirely
+ * client-side over data already loaded — zero server work, zero egress.
+ * Timestamps (when present, parallel to the coordinates) are emitted so
+ * the exported track round-trips into any GPX consumer.
+ */
+export function buildGpxDocument(params: {
+  coordinates: readonly RouteCoordinate[];
+  timestamps?: readonly string[] | null;
+  sportType: string;
+  startedAt: string;
+}): string {
+  const { coordinates, timestamps, sportType, startedAt } = params;
+  const segments: string[] = [];
+  coordinates.forEach((c, i) => {
+    if (!Array.isArray(c) || c.length < 2) return;
+    const lon = c[0];
+    const lat = c[1];
+    if (!isFiniteNumber(lon) || !isFiniteNumber(lat)) return;
+    const parts = [`<trkpt lat="${lat}" lon="${lon}">`];
+    if (c.length >= 3 && isFiniteNumber(c[2])) parts.push(`<ele>${c[2]}</ele>`);
+    const ts = timestamps?.[i];
+    if (typeof ts === "string" && ts.length > 0) {
+      parts.push(`<time>${escapeXml(ts)}</time>`);
+    }
+    parts.push(`</trkpt>`);
+    segments.push(parts.join(""));
+  });
+  return [
+    `<?xml version="1.0" encoding="UTF-8"?>`,
+    `<gpx version="1.1" creator="HealthLog" xmlns="http://www.topografix.com/GPX/1/1">`,
+    `<metadata><time>${escapeXml(startedAt)}</time></metadata>`,
+    `<trk><name>${escapeXml(sportType)}</name><trkseg>`,
+    ...segments,
+    `</trkseg></trk>`,
+    `</gpx>`,
+  ].join("\n");
+}
@@ -0,0 +1,84 @@
+/**
+ * Per-kilometre splits from a workout's route geometry + per-sample
+ * timestamps. Pure; computed server-side so the web client keeps
+ * dropping the raw `sampleTimestamps` blob under `compact=1` (the
+ * derived splits survive, the 20k-point timestamp array does not) and
+ * iOS gets the same resolved figures — server-authoritative parity.
+ *
+ * Only meaningful for distance/pace sports; the caller gates the sport.
+ * A workout without aligned timestamps (or under one full km) yields
+ * `null` and the caller hides the splits card.
+ */
+import {
+  extractLonLat,
+  haversineMeters,
+  type RouteCoordinate,
+} from "@/lib/workouts/route-svg";
+
+export interface WorkoutSplit {
+  /** 1-based kilometre index. */
+  km: number;
+  /** Time to cover this kilometre, seconds. */
+  durationSec: number;
+  /** Pace over the kilometre, seconds per km (== durationSec here). */
+  paceSecPerKm: number;
+}
+
+const KM = 1000;
+
+/**
+ * Compute whole-kilometre splits. Walks the polyline accumulating
+ * haversine distance; at each km boundary the crossing time is linearly
+ * interpolated between the two bounding samples by distance fraction,
+ * so a split boundary that falls mid-segment is timed honestly.
+ */
+export function computeSplits(
+  coordinates: readonly RouteCoordinate[],
+  timestamps: readonly string[] | null | undefined,
+): WorkoutSplit[] | null {
+  if (!timestamps || timestamps.length !== coordinates.length) return null;
+
+  // Keep coordinate/timestamp pairs that are both well-formed.
+  const pts: Array<{ lon: number; lat: number; tMs: number }> = [];
+  coordinates.forEach((c, i) => {
+    const [lonLat] = extractLonLat([c]);
+    if (!lonLat) return;
+    const tMs = Date.parse(timestamps[i] ?? "");
+    if (!Number.isFinite(tMs)) return;
+    pts.push({ lon: lonLat[0], lat: lonLat[1], tMs });
+  });
+  if (pts.length < 2) return null;
+
+  const splits: WorkoutSplit[] = [];
+  let cumulative = 0;
+  let nextBoundary = KM;
+  let prevBoundaryTimeMs = pts[0].tMs;
+
+  for (let i = 1; i < pts.length; i++) {
+    const a = pts[i - 1];
+    const b = pts[i];
+    const segDist = haversineMeters(a.lon, a.lat, b.lon, b.lat);
+    if (segDist <= 0) continue;
+    const segStart = cumulative;
+    cumulative += segDist;
+
+    // A single long segment can straddle several km boundaries.
+    while (cumulative >= nextBoundary) {
+      const frac = (nextBoundary - segStart) / segDist;
+      const boundaryTimeMs = a.tMs + (b.tMs - a.tMs) * frac;
+      const durationSec = Math.max(
+        0,
+        Math.round((boundaryTimeMs - prevBoundaryTimeMs) / 1000),
+      );
+      splits.push({
+        km: splits.length + 1,
+        durationSec,
+        paceSecPerKm: durationSec,
+      });
+      prevBoundaryTimeMs = boundaryTimeMs;
+      nextBoundary += KM;
+    }
+  }
+
+  return splits.length > 0 ? splits : null;
+}
@@ -0,0 +1,162 @@
+/**
+ * Effort zones for the workout-detail page. Descriptive, never
+ * prescriptive — a distribution of time-in-zone, not a training
+ * verdict or a cardiac interpretation (non-diagnostic standard).
+ *
+ * Display model: five %HRmax zones (Z1 50–60 %, Z2 60–70 %, Z3 70–80 %,
+ * Z4 80–90 %, Z5 90 %+), HRmax from the grounded `tanakaHrMax()`
+ * (profile age). %HRmax over Karvonen because it needs only age and
+ * matches every consumer device's zone labelling — the strain engine
+ * owns the HRR/TRIMP math internally; the detail page merely describes.
+ *
+ * Resolution order:
+ *   1. WHOOP `metadata.zoneDurations` — device-authoritative time in
+ *      zone, parsed through a narrow slice (JSON is never duck-typed).
+ *   2. Computed time-in-zone from the HR series, when profile age
+ *      exists.
+ *   3. Neither → `null`, and the caller hides the zones card.
+ */
+import { z } from "zod/v4";
+
+import { tanakaHrMax } from "@/lib/insights/strain-score";
+import type { HrSeriesPoint } from "@/lib/workouts/hr-series";
+
+export type ZonesModel = "whoop" | "tanaka";
+
+export interface ZoneBand {
+  /** 1–5. */
+  zone: number;
+  /** Lower bpm bound (null when HRmax is unknown — WHOOP-only path). */
+  lowBpm: number | null;
+  /** Upper bpm bound; null for the open-ended top zone. */
+  highBpm: number | null;
+  /** Time spent in the zone, seconds. */
+  seconds: number;
+}
+
+export interface WorkoutZones {
+  model: ZonesModel;
+  hrMax: number | null;
+  zones: ZoneBand[];
+}
+
+/** %HRmax band edges. The top zone is open-ended (highPct = null). */
+const ZONE_EDGES: Array<{
+  zone: number;
+  lowPct: number;
+  highPct: number | null;
+}> = [
+  { zone: 1, lowPct: 0.5, highPct: 0.6 },
+  { zone: 2, lowPct: 0.6, highPct: 0.7 },
+  { zone: 3, lowPct: 0.7, highPct: 0.8 },
+  { zone: 4, lowPct: 0.8, highPct: 0.9 },
+  { zone: 5, lowPct: 0.9, highPct: null },
+];
+
+function bandBounds(hrMax: number | null) {
+  return ZONE_EDGES.map((e) => ({
+    zone: e.zone,
+    lowBpm: hrMax != null ? Math.round(hrMax * e.lowPct) : null,
+    highBpm:
+      hrMax != null && e.highPct != null ? Math.round(hrMax * e.highPct) : null,
+  }));
+}
+
+/**
+ * Narrow slice of WHOOP's `zone_durations` (milliseconds per zone). The
+ * API ships `zone_zero_milli` (below Z1, recovery) through
+ * `zone_five_milli`; we map zones one–five onto our Z1–Z5 and drop
+ * zone-zero from the five-zone display, mirroring the device's own
+ * five-zone labelling.
+ */
+const whoopZoneDurationsSchema = z
+  .object({
+    zone_zero_milli: z.number().nonnegative().optional(),
+    zone_one_milli: z.number().nonnegative().optional(),
+    zone_two_milli: z.number().nonnegative().optional(),
+    zone_three_milli: z.number().nonnegative().optional(),
+    zone_four_milli: z.number().nonnegative().optional(),
+    zone_five_milli: z.number().nonnegative().optional(),
+  })
+  .transform((v) => [
+    v.zone_one_milli ?? 0,
+    v.zone_two_milli ?? 0,
+    v.zone_three_milli ?? 0,
+    v.zone_four_milli ?? 0,
+    v.zone_five_milli ?? 0,
+  ]);
+
+/**
+ * Pull WHOOP zone durations (seconds per Z1–Z5) out of a workout's
+ * metadata blob, or `null` when absent / malformed / all-zero.
+ */
+export function parseWhoopZoneDurations(metadata: unknown): number[] | null {
+  if (!metadata || typeof metadata !== "object") return null;
+  const raw = (metadata as Record<string, unknown>).zoneDurations;
+  if (!raw || typeof raw !== "object") return null;
+  const parsed = whoopZoneDurationsSchema.safeParse(raw);
+  if (!parsed.success) return null;
+  const seconds = parsed.data.map((ms) => ms / 1000);
+  return seconds.some((s) => s > 0) ? seconds : null;
+}
+
+/** %HRmax zone index (1–5) for a heart rate, or 0 for below-Z1 (rest). */
+function zoneForHr(hr: number, hrMax: number): number {
+  const pct = hr / hrMax;
+  for (const e of ZONE_EDGES) {
+    if (e.highPct == null) return e.zone; // top zone catches everything ≥ Z5 low
+    if (pct < e.highPct) return pct >= e.lowPct ? e.zone : 0;
+  }
+  return 0;
+}
+
+export interface ComputeZonesInput {
+  hrMax: number | null;
+  series: readonly HrSeriesPoint[];
+  bucketSec: number;
+  whoopZoneDurations: number[] | null;
+}
+
+/**
+ * Resolve the effort-zone distribution. WHOOP's device-reported
+ * durations win when present; otherwise time-in-zone is folded from the
+ * HR series (each non-empty bucket contributes `bucketSec` seconds at
+ * its mean HR). Below-Z1 (rest) time is excluded from the five-zone
+ * display. Returns `null` when neither source is available.
+ */
+export function computeZones(input: ComputeZonesInput): WorkoutZones | null {
+  const { hrMax, series, bucketSec, whoopZoneDurations } = input;
+
+  if (whoopZoneDurations) {
+    const bounds = bandBounds(hrMax);
+    return {
+      model: "whoop",
+      hrMax,
+      zones: bounds.map((b, i) => ({
+        ...b,
+        seconds: Math.round(whoopZoneDurations[i] ?? 0),
+      })),
+    };
+  }
+
+  if (hrMax == null || series.length === 0) return null;
+
+  const seconds = [0, 0, 0, 0, 0];
+  for (const p of series) {
+    const zone = zoneForHr(p.mean, hrMax);
+    if (zone >= 1 && zone <= 5) seconds[zone - 1] += bucketSec;
+  }
+  if (seconds.every((s) => s === 0)) return null;
+
+  const bounds = bandBounds(hrMax);
+  return {
+    model: "tanaka",
+    hrMax,
+    zones: bounds.map((b, i) => ({ ...b, seconds: seconds[i] })),
+  };
+}
+
+/** Convenience: HRmax from profile age (Tanaka), or null when no age. */
+export function hrMaxFromAge(ageYears: number | null): number | null {
+  return ageYears != null ? Math.round(tanakaHrMax(ageYears)) : null;
+}