{
  "$schema": "/data/stack.schema.json",
  "_meta": {
    "generated_by": "scripts/v4_build_stack_manifest.py — derived from source_registry.py + the public protocol/supplement catalogues (#1401); never hand-edit",
    "schema_version": "1.0.0",
    "updated": "2026-08-09",
    "framing": "Fork the architecture, not the data. This describes the instrument — what measures and how — and contains no health metrics, no personal records, and no account-specific identifiers.",
    "license": "The manifest is published for reuse. It is a description, not a guarantee."
  },
  "architecture": {
    "shape": "ingest → store → serve",
    "cloud": "AWS, single region",
    "stages": [
      {
        "stage": "ingest",
        "what": "scheduled and webhook-driven functions pull each source, detect missing days, and fetch only the gap",
        "services": [
          "serverless functions",
          "cron scheduler",
          "managed secrets"
        ]
      },
      {
        "stage": "store",
        "what": "raw provider JSON archived immutably to object storage; normalized daily metrics to a single-table key-value store",
        "services": [
          "object storage",
          "single-table NoSQL"
        ]
      },
      {
        "stage": "serve",
        "what": "a read-only HTTP API over the store, a static site on a CDN, scheduled email, and an MCP server for conversational access",
        "services": [
          "serverless HTTP API",
          "CDN + static hosting",
          "transactional email",
          "MCP"
        ]
      }
    ],
    "ingest_patterns": [
      "file_transport",
      "frozen_archive",
      "habit_bridge",
      "manual_entry",
      "scheduled_credentialed_pull",
      "scheduled_keyless_pull",
      "webhook_push"
    ],
    "key_choices": [
      "single-table NoSQL with a composite key (partition = user+source, sort = date) — every source shares one table",
      "raw archive is write-once and delete-protected; normalization is always re-derivable from it",
      "each source is classified behavioral vs infrastructure — only infrastructure staleness is allowed to page you",
      "one source registry is the single origin for freshness thresholds, QA tiers, alarms, and every public catalogue",
      "stdlib HTTP only for provider calls — no third-party HTTP dependency to keep patched"
    ]
  },
  "sources": [
    {
      "id": "apple_health",
      "name": "Apple Health",
      "category": "Wearables",
      "measures": "Steps, active energy, CGM, blood pressure, state of mind",
      "method": "Health Auto Export webhook, near-real-time",
      "posture": "load-bearing",
      "ingest_pattern": "webhook_push",
      "behavioral": false,
      "paused": false,
      "raw_scheme": "timestamped",
      "device": {
        "product": "Apple Watch + Health Auto Export",
        "vendor": "Apple / Health Auto Export",
        "purchasable": true
      }
    },
    {
      "id": "habitify",
      "name": "Habitify",
      "category": "Inputs",
      "measures": "Daily habit completions",
      "method": "API pull, hourly",
      "posture": "load-bearing",
      "ingest_pattern": "scheduled_credentialed_pull",
      "behavioral": false,
      "paused": false,
      "raw_scheme": "date-tree",
      "device": {
        "product": "Habitify (habit tracker)",
        "vendor": "Habitify",
        "purchasable": true
      }
    },
    {
      "id": "hevy",
      "name": "Hevy",
      "category": "Manual logs",
      "measures": "Strength sets, reps, load, rest times",
      "method": "API-key pull, hourly 12–23 UTC",
      "posture": "load-bearing",
      "ingest_pattern": "scheduled_credentialed_pull",
      "behavioral": true,
      "paused": false,
      "raw_scheme": "flat-uuid",
      "device": {
        "product": "Hevy (workout logger)",
        "vendor": "Hevy",
        "purchasable": true
      }
    },
    {
      "id": "macrofactor",
      "name": "MacroFactor",
      "category": "Manual logs",
      "measures": "Calories, macros, meals",
      "method": "Manual CSV export via Dropbox poller, ~24h behind by design",
      "posture": "load-bearing",
      "ingest_pattern": "file_transport",
      "behavioral": true,
      "paused": false,
      "raw_scheme": "date-tree",
      "device": {
        "product": "MacroFactor (nutrition app)",
        "vendor": "MacroFactor",
        "purchasable": true
      }
    },
    {
      "id": "strava",
      "name": "Strava",
      "category": "Wearables",
      "measures": "Activities, walks, heart rate",
      "method": "OAuth API pull, hourly",
      "posture": "load-bearing",
      "ingest_pattern": "scheduled_credentialed_pull",
      "behavioral": true,
      "paused": false,
      "raw_scheme": "date-tree",
      "device": {
        "product": "Strava (subscription)",
        "vendor": "Strava",
        "purchasable": true
      }
    },
    {
      "id": "supplements",
      "name": "Supplements",
      "category": "Manual logs",
      "measures": "Supplement & medication adherence",
      "method": "Habitify bridge (name-mapped habits)",
      "posture": "load-bearing",
      "ingest_pattern": "habit_bridge",
      "behavioral": true,
      "paused": false,
      "device": {
        "product": "Supplements & medication",
        "vendor": "via Habitify",
        "purchasable": false
      }
    },
    {
      "id": "whoop",
      "name": "Whoop",
      "category": "Wearables",
      "measures": "Recovery, sleep, HRV, resting HR, strain",
      "method": "OAuth API pull, 5x daily",
      "posture": "load-bearing",
      "ingest_pattern": "scheduled_credentialed_pull",
      "behavioral": false,
      "paused": false,
      "raw_scheme": "date-tree",
      "device": {
        "product": "Whoop band + membership",
        "vendor": "Whoop",
        "purchasable": true
      }
    },
    {
      "id": "withings",
      "name": "Withings",
      "category": "Wearables",
      "measures": "Weight, body composition",
      "method": "OAuth API pull, hourly",
      "posture": "load-bearing",
      "ingest_pattern": "scheduled_credentialed_pull",
      "behavioral": true,
      "paused": false,
      "raw_scheme": "date-tree",
      "device": {
        "product": "Withings smart scale",
        "vendor": "Withings",
        "purchasable": true
      }
    },
    {
      "id": "eightsleep",
      "name": "Eight Sleep",
      "category": "Wearables",
      "measures": "Sleep stages, HR/HRV, restlessness",
      "method": "API pull, hourly",
      "posture": "portfolio",
      "ingest_pattern": "scheduled_credentialed_pull",
      "behavioral": false,
      "paused": false,
      "raw_scheme": "date-tree",
      "device": {
        "product": "Eight Sleep Pod cover",
        "vendor": "Eight Sleep",
        "purchasable": true
      }
    },
    {
      "id": "food_delivery",
      "name": "Food delivery",
      "category": "Manual logs",
      "measures": "Delivery-order behavioral signal (incl. longest-ever streak)",
      "method": "Manual log",
      "posture": "portfolio",
      "ingest_pattern": "manual_entry",
      "behavioral": true,
      "paused": false,
      "device": {
        "product": "Food-delivery signal",
        "vendor": "hand-logged",
        "purchasable": false
      }
    },
    {
      "id": "notion",
      "name": "Notion",
      "category": "Inputs",
      "measures": "Journal entries — the subjective layer",
      "method": "API pull (journal database), hourly",
      "posture": "portfolio",
      "ingest_pattern": "scheduled_credentialed_pull",
      "behavioral": true,
      "paused": false,
      "raw_scheme": "date-tree",
      "device": {
        "product": "Notion (journal)",
        "vendor": "Notion",
        "purchasable": true
      }
    },
    {
      "id": "measurements",
      "name": "Tape measure",
      "category": "Manual logs",
      "measures": "Body tape measurements",
      "method": "Manual entry via MCP",
      "posture": "portfolio",
      "ingest_pattern": "manual_entry",
      "behavioral": true,
      "paused": false,
      "device": {
        "product": "Body tape measure",
        "vendor": "any spring-loaded body tape",
        "purchasable": true
      }
    },
    {
      "id": "todoist",
      "name": "Todoist",
      "category": "Inputs",
      "measures": "Tasks completed",
      "method": "API pull, 1x daily (14:00 UTC)",
      "posture": "portfolio",
      "ingest_pattern": "scheduled_credentialed_pull",
      "behavioral": false,
      "paused": false,
      "raw_scheme": "date-tree",
      "device": {
        "product": "Todoist (task manager)",
        "vendor": "Todoist",
        "purchasable": true
      }
    },
    {
      "id": "weather",
      "name": "Weather",
      "category": "Inputs",
      "measures": "Temperature, precipitation, daylight, conditions, sunrise/sunset, AQI",
      "method": "Open-Meteo API pull, 2x daily",
      "posture": "portfolio",
      "ingest_pattern": "scheduled_keyless_pull",
      "behavioral": false,
      "paused": false,
      "raw_scheme": "date-tree",
      "device": {
        "product": "Weather",
        "vendor": "Open-Meteo",
        "purchasable": false
      }
    },
    {
      "id": "garmin",
      "name": "Garmin",
      "category": "Wearables",
      "measures": "Stress, body battery, steps",
      "method": "OAuth API pull, 4x daily — paused (ADR-074)",
      "posture": "paused",
      "ingest_pattern": "scheduled_credentialed_pull",
      "behavioral": false,
      "paused": true,
      "raw_scheme": "date-tree",
      "device": {
        "product": "Garmin watch",
        "vendor": "Garmin",
        "purchasable": true
      }
    },
    {
      "id": "labs",
      "name": "Blood labs",
      "category": "Clinical",
      "measures": "Blood biomarkers (episodic panels)",
      "method": "Manual entry from lab PDFs",
      "posture": "load-bearing",
      "ingest_pattern": "manual_entry",
      "behavioral": false,
      "paused": false
    },
    {
      "id": "dexa",
      "name": "DEXA",
      "category": "Clinical",
      "measures": "Body-composition scans",
      "method": "Manual entry per scan",
      "posture": "load-bearing",
      "ingest_pattern": "manual_entry",
      "behavioral": false,
      "paused": false
    },
    {
      "id": "genome",
      "name": "Genome",
      "category": "Clinical",
      "measures": "SNP clinical interpretations",
      "method": "One-time import",
      "posture": "load-bearing",
      "ingest_pattern": "manual_entry",
      "behavioral": false,
      "paused": false
    },
    {
      "id": "state_of_mind",
      "name": "State of Mind",
      "category": "Inputs",
      "measures": "Affect self-reports (Apple State of Mind)",
      "method": "Health Auto Export webhook",
      "posture": "portfolio",
      "ingest_pattern": "webhook_push",
      "behavioral": false,
      "paused": false
    },
    {
      "id": "macrofactor_workouts",
      "name": "MacroFactor workouts",
      "category": "Archive",
      "measures": "Historical strength log (pre-Hevy)",
      "method": "Frozen archive — no writer",
      "posture": "archive",
      "ingest_pattern": "frozen_archive",
      "behavioral": false,
      "paused": false
    },
    {
      "id": "chronicling",
      "name": "Chronicling",
      "category": "Archive",
      "measures": "Pre-platform habit history",
      "method": "Frozen archive — no writer",
      "posture": "archive",
      "ingest_pattern": "frozen_archive",
      "behavioral": false,
      "paused": false
    }
  ],
  "protocols": [
    {
      "id": "sleep",
      "name": "Sleep Protocol",
      "domain": "sleep",
      "category": "Sleep",
      "tier": "foundation",
      "status": "active",
      "definition": "9pm screens off, 10pm target bed, 68°F bed temperature",
      "mechanism": "Optimizes slow-wave sleep for HGH release, memory consolidation, and metabolic recovery",
      "tracked_by": [
        "Whoop",
        "Eight Sleep",
        "Apple Health"
      ],
      "key_metrics": [
        "Whoop sleep score",
        "next-day recovery score",
        "HRV on waking"
      ]
    },
    {
      "id": "strength",
      "name": "Strength Training 3×/week",
      "domain": "movement",
      "category": "Movement",
      "tier": "foundation",
      "status": "active",
      "definition": "Progressive overload, compound movements, 3 sessions/week minimum",
      "mechanism": "Sustained moderate deficit (~500 kcal) preserves lean mass during weight loss",
      "tracked_by": [
        "Hevy",
        "Strava",
        "Whoop",
        "DEXA"
      ],
      "key_metrics": [
        "Body composition (DEXA)",
        "strength metrics (Hevy)",
        "ACWR load ratio"
      ]
    },
    {
      "id": "zone2",
      "name": "Zone 2 Cardio",
      "domain": "movement",
      "category": "Movement",
      "tier": "foundation",
      "status": "active",
      "definition": "3–4 sessions/week, 45 min+ at <75% HRV-adjusted max HR",
      "mechanism": "Builds mitochondrial density and fat oxidation capacity below VT1",
      "tracked_by": [
        "Garmin",
        "Strava",
        "Whoop"
      ],
      "key_metrics": [
        "VO2max proxy",
        "resting HR trend",
        "weekly Z2 minutes"
      ]
    },
    {
      "id": "intermittent_fasting",
      "name": "16:8 Intermittent Fasting",
      "domain": "nutrition",
      "category": "Nutrition",
      "tier": "intervention",
      "status": "active",
      "definition": "Eating window 12pm–8pm; 16-hour fast overnight",
      "mechanism": "16:8 window aligns eating with circadian rhythm and extends overnight fat oxidation",
      "tracked_by": [
        "MacroFactor",
        "Dexcom Stelo",
        "Withings"
      ],
      "key_metrics": [
        "Fasting glucose (CGM)",
        "weight trend",
        "body composition"
      ]
    },
    {
      "id": "cgm",
      "name": "CGM Protocol",
      "domain": "nutrition",
      "category": "Metabolic",
      "tier": "measurement",
      "status": "active",
      "definition": "Continuous glucose monitoring via Dexcom Stelo, meal spike logging",
      "mechanism": "Continuous glucose data reveals individual meal responses invisible to standard blood panels",
      "tracked_by": [
        "Dexcom Stelo",
        "platform CGM module"
      ],
      "key_metrics": [
        "Time-in-range (<140 mg/dL)",
        "post-meal peak glucose",
        "fasting baseline"
      ]
    },
    {
      "id": "morning_sunlight",
      "name": "Morning Sunlight 10 min",
      "domain": "sleep",
      "category": "Circadian / Mind",
      "tier": "supporting",
      "status": "active",
      "definition": "Outdoor light exposure within 30 min of waking, 10 min minimum",
      "mechanism": "Morning photon exposure sets the suprachiasmatic nucleus clock, improving melatonin timing by 1-2 hours",
      "tracked_by": [
        "Habitify",
        "Whoop sleep timing"
      ],
      "key_metrics": [
        "Bedtime consistency (std deviation)",
        "subjective energy levels",
        "HRV trend"
      ]
    }
  ],
  "supplements": [
    {
      "key": "cordyceps",
      "name": "Cordyceps",
      "group": "cognitive",
      "group_name": "Cognitive Support",
      "dose": "500mg",
      "timing": "AM",
      "evidence": {
        "grade": "emerging",
        "confidence_pct": 30
      },
      "cost_monthly_usd": 12,
      "paused": true
    },
    {
      "key": "lions_mane",
      "name": "Lion's Mane",
      "group": "cognitive",
      "group_name": "Cognitive Support",
      "dose": "500-1000mg",
      "timing": "AM",
      "evidence": {
        "grade": "emerging",
        "confidence_pct": 35
      },
      "cost_monthly_usd": 15,
      "paused": true
    },
    {
      "key": "reishi",
      "name": "Reishi",
      "group": "cognitive",
      "group_name": "Cognitive Support",
      "dose": "500mg",
      "timing": "PM",
      "evidence": {
        "grade": "emerging",
        "confidence_pct": 20
      },
      "cost_monthly_usd": 12,
      "paused": true
    },
    {
      "key": "b_complex",
      "name": "B Complex",
      "group": "longevity",
      "group_name": "Longevity Foundation",
      "dose": "1 daily",
      "timing": "AM",
      "evidence": {
        "grade": "moderate",
        "confidence_pct": 55
      },
      "cost_monthly_usd": 8,
      "paused": false
    },
    {
      "key": "multivitamin",
      "name": "Multivitamin",
      "group": "longevity",
      "group_name": "Longevity Foundation",
      "dose": "1 daily",
      "timing": "AM with food",
      "evidence": {
        "grade": "moderate",
        "confidence_pct": 50
      },
      "cost_monthly_usd": 12,
      "paused": false
    },
    {
      "key": "nac",
      "name": "NAC (N-Acetyl Cysteine)",
      "group": "longevity",
      "group_name": "Longevity Foundation",
      "dose": "600-1200mg",
      "timing": "AM",
      "evidence": {
        "grade": "emerging",
        "confidence_pct": 20
      },
      "cost_monthly_usd": 10,
      "paused": false
    },
    {
      "key": "omega3",
      "name": "Omega-3 (EPA/DHA)",
      "group": "longevity",
      "group_name": "Longevity Foundation",
      "dose": "2-4g combined",
      "timing": "With fat-containing meal",
      "evidence": {
        "grade": "strong",
        "confidence_pct": 90
      },
      "cost_monthly_usd": 15,
      "paused": false
    },
    {
      "key": "vitamin_d",
      "name": "Vitamin D3 + K2",
      "group": "longevity",
      "group_name": "Longevity Foundation",
      "dose": "5000 IU",
      "timing": "AM with fat",
      "evidence": {
        "grade": "strong",
        "confidence_pct": 90
      },
      "cost_monthly_usd": 5,
      "paused": false
    },
    {
      "key": "zinc",
      "name": "Zinc Picolinate",
      "group": "longevity",
      "group_name": "Longevity Foundation",
      "dose": "30mg",
      "timing": "With meal",
      "evidence": {
        "grade": "moderate",
        "confidence_pct": 60
      },
      "cost_monthly_usd": 8,
      "paused": false
    },
    {
      "key": "green_tea",
      "name": "Green Tea Phytosome (EGCG)",
      "group": "metabolic",
      "group_name": "Metabolic & Body Comp",
      "dose": "250mg",
      "timing": "AM",
      "evidence": {
        "grade": "moderate",
        "confidence_pct": 45
      },
      "cost_monthly_usd": 10,
      "paused": false
    },
    {
      "key": "inositol",
      "name": "Myo-Inositol",
      "group": "metabolic",
      "group_name": "Metabolic & Body Comp",
      "dose": "2-4g",
      "timing": "PM",
      "evidence": {
        "grade": "emerging",
        "confidence_pct": 20
      },
      "cost_monthly_usd": 10,
      "paused": false
    },
    {
      "key": "probiotics",
      "name": "Probiotics",
      "group": "metabolic",
      "group_name": "Metabolic & Body Comp",
      "dose": "Multi-strain",
      "timing": "AM empty stomach",
      "evidence": {
        "grade": "moderate",
        "confidence_pct": 45
      },
      "cost_monthly_usd": 15,
      "paused": false
    },
    {
      "key": "collagen",
      "name": "Collagen Peptides",
      "group": "muscle",
      "group_name": "Muscle & Performance",
      "dose": "10-15g",
      "timing": "Pre-training + Vitamin C",
      "evidence": {
        "grade": "moderate",
        "confidence_pct": 60
      },
      "cost_monthly_usd": 15,
      "paused": false
    },
    {
      "key": "creatine",
      "name": "Creatine Monohydrate",
      "group": "muscle",
      "group_name": "Muscle & Performance",
      "dose": "5g",
      "timing": "AM with food",
      "evidence": {
        "grade": "strong",
        "confidence_pct": 95
      },
      "cost_monthly_usd": 8,
      "paused": false
    },
    {
      "key": "electrolytes",
      "name": "Electrolytes",
      "group": "muscle",
      "group_name": "Muscle & Performance",
      "dose": "Full spectrum",
      "timing": "AM + intra-workout",
      "evidence": {
        "grade": "strong",
        "confidence_pct": 85
      },
      "cost_monthly_usd": 12,
      "paused": false
    },
    {
      "key": "glutamine",
      "name": "L-Glutamine",
      "group": "muscle",
      "group_name": "Muscle & Performance",
      "dose": "5g",
      "timing": "Post-training",
      "evidence": {
        "grade": "moderate",
        "confidence_pct": 50
      },
      "cost_monthly_usd": 10,
      "paused": false
    },
    {
      "key": "protein",
      "name": "Protein Supplement",
      "group": "muscle",
      "group_name": "Muscle & Performance",
      "dose": "30g whey/casein",
      "timing": "Post-training",
      "evidence": {
        "grade": "strong",
        "confidence_pct": 90
      },
      "cost_monthly_usd": 30,
      "paused": false
    },
    {
      "key": "apigenin",
      "name": "Apigenin",
      "group": "sleep",
      "group_name": "Sleep Architecture",
      "dose": "50mg",
      "timing": "PM",
      "evidence": {
        "grade": "moderate",
        "confidence_pct": 66
      },
      "cost_monthly_usd": 10,
      "paused": false
    },
    {
      "key": "glycine",
      "name": "Glycine",
      "group": "sleep",
      "group_name": "Sleep Architecture",
      "dose": "2-3g",
      "timing": "PM",
      "evidence": {
        "grade": "moderate",
        "confidence_pct": 66
      },
      "cost_monthly_usd": 8,
      "paused": false
    },
    {
      "key": "theanine",
      "name": "L-Theanine",
      "group": "sleep",
      "group_name": "Sleep Architecture",
      "dose": "100-200mg",
      "timing": "PM",
      "evidence": {
        "grade": "moderate",
        "confidence_pct": 66
      },
      "cost_monthly_usd": 8,
      "paused": false
    },
    {
      "key": "l_threonate",
      "name": "Magnesium L-Threonate",
      "group": "sleep",
      "group_name": "Sleep Architecture",
      "dose": "144mg elemental",
      "timing": "PM",
      "evidence": {
        "grade": "moderate",
        "confidence_pct": 66
      },
      "cost_monthly_usd": 12,
      "paused": false
    }
  ],
  "cost_of_ownership": {
    "_honesty_contract": "ADR-104/105. Every figure carries a `basis` saying how it was derived and a `confidence` saying how much weight it holds. Where no source exists the value is null with a basis explaining why, never a plausible-looking guess.",
    "aws": {
      "composition": {
        "non_ai_floor_monthly_usd": [
          36,
          43
        ],
        "ai_variable_monthly_usd": [
          24,
          44
        ],
        "basis": "docs/COST_TRACKER.md, verified against Cost Explorer 2026-07-19. The bill is two things: a measured non-AI structural floor (dominated by the CloudWatch alarm estate and per-service secret isolation) and variable model inference that scales with how much building happened that month, not with how much data was collected.",
        "confidence": "measured range over billed months, not a forecast"
      },
      "actuals": [
        {
          "month": "2026-03",
          "label": "Mar 2026",
          "usd": 20.04
        },
        {
          "month": "2026-04",
          "label": "Apr 2026",
          "usd": 35.01
        },
        {
          "month": "2026-05",
          "label": "May 2026",
          "usd": 48.19
        },
        {
          "month": "2026-06",
          "label": "Jun 2026",
          "usd": 79.8
        }
      ],
      "actuals_basis": "AWS Cost Explorer, unblended, whole-account. n=4 complete billed months (docs/COST_TRACKER.md 'Monthly Actuals'). The platform's first partial month and any month still in progress are deliberately excluded — a partial month is not a run-rate. The series rises because the platform grew, not because usage drifted: the June peak is the month a coaching feature launched.",
      "live_endpoints": [
        {
          "path": "/api/receipts",
          "publishes": "month-to-date spend, projected month-end, effective ceiling, degradation tier, daily AI vs infrastructure burn"
        },
        {
          "path": "/api/inference_receipt",
          "publishes": "per-model and per-function token usage, priced"
        },
        {
          "path": "/api/status",
          "publishes": "the cost block: month-to-date, projected, ceiling, tier"
        }
      ],
      "scope_note": "One budget covers the WHOLE platform, not just the AI. CI minutes are billed by the code host on a separate plan and are not inside this figure.",
      "verifiability": "These are not the platform's own claims about itself: the live endpoints above serve the governor's own numbers, refreshed every 8 hours, and omit dollars rather than freeze them when the upstream reading goes stale.",
      "monthly_usd_typical": "~$80",
      "monthly_usd_typical_basis": "the run-rate published on /method/cost/, read from the same constant the /api/platform_stats endpoint serves — not a second opinion about it.",
      "ceiling_usd": 85.0,
      "surge_ceiling_usd": 100.0,
      "surge_trigger_trailing_7d_uniques": 900,
      "ceiling_basis": "a self-imposed hard limit (ADR-063/133), enforced in code rather than aspired to: a governor reprojects month-end spend every 8 hours and publishes a degradation tier, and each AI feature reads that tier before it runs. The limit floats to the surge value only while real reader traffic exceeds the trigger above."
    },
    "devices": {
      "monthly_usd": null,
      "one_time_usd": null,
      "basis": "Not published, because this platform does not measure it. Every device and app price is vendor-set, varies by region and plan, and changes without notice; any total stated here would be a guess wearing a decimal point. The device SET is enumerated in sources[].device — derived from the same public gear catalogue the site renders — so a reader can price the exact list at current vendor rates rather than trust a stale aggregate.",
      "confidence": "no figure asserted",
      "shape_note": "The set splits into recurring subscriptions (a wearable membership, several logging apps) and one-time hardware (a scale, a bed cover, a watch, a tape measure). A fork of this architecture needs none of them in full — the pipeline's value comes from the sources being classified and reconciled, not from owning all of them."
    },
    "time": {
      "hours_to_build": null,
      "hours_per_week_to_operate": null,
      "basis": "Not published, because nothing here instruments the owner's hours. The platform measures sleep, training and spend with real sensors; it has no sensor pointed at its own construction, so both figures would be recollection presented as measurement. What CAN be stated is structural, and is derived below.",
      "confidence": "no figure asserted",
      "structural_note": "Ingestion, computation, email and QA all run unattended on fixed schedules; there is no daily human step in the data path. Recurring human time concentrates in two places, both counted in recurring_manual_touchpoints: re-authorising credentialed sources when a provider token dies, and the sources whose records only exist because someone typed them.",
      "recurring_manual_touchpoints": {
        "credentialed_sources_that_can_need_reauth": 8,
        "sources_whose_records_require_typing": 5,
        "basis": "counted from this manifest's own sources[]. These are the only two places a human recurrently has to act; everything else runs on a scheduler."
      }
    },
    "supplements": {
      "active_monthly_usd": 206,
      "including_paused_monthly_usd": 245,
      "item_count": 21,
      "paused_count": 3,
      "basis": "summed from this manifest's own supplements[].cost_monthly_usd — the published /protocols/supplements/ catalogue. The per-item inputs are the owner's typical retail spend at his chosen brands, not receipts, so treat the total as a shopping estimate.",
      "confidence": "arithmetic-exact over estimated inputs"
    }
  }
}