Demo data, nothing is saved to the cloud
Coach Verdict
Review queue loading
LongevityOS is turning intake, labs, sleep, nutrition, workouts, and protocols into one coaching decision surface.
Data Freshness
Trust indicator before AI or coach decisions.
Next Coach Actions
Prioritized work that moves the client loop forward.
0
Longevity
Score 0 / 100
Top 12% of users your age, Excellent trajectory
36
Bio Age
↓ 8 yrs younger
44
Chron Age
Reference
−0.8
Aging Speed
yrs/yr
↑
Week Trend
+2.1 pts
52
ml/kg/min
VO2 Max
58
ms
HRV
52
bpm
Rest HR
84
/ 100
Sleep
16.2
% BF
Body Fat
9.4k
steps
Today
Today's Protocol
RecoveryBiomarkers
Mar 15Habits
0 / 8AI Longevity Coach
Evidence-aware insight, coach-approved recommendations
Analyzing
What's actually driving your score
Correlation engine loading.
Client intake
One source of truth for goals, constraints, training, nutrition, sleep, and coaching context.
LongevityOS Intake Engine
Ask once, design better programs forever.
This intake captures the context a coach or AI needs before prescribing training, macros, diet structure, and sleep support: goals, constraints, history, equipment, recovery capacity, preferences, schedule, biomarkers, wearables, and behavioral friction.
Coach home
Review what changed, decide what matters, and publish the next clear action.
Demo dataLatest signal, loadingChanges stay on this device
Client record
Client
Client Pipeline
Drag clients between stages. Click a card to inspect.
Add Client
Privacy Note
Demo mode keeps synthetic data on this device. Signed-in mode uses consent-gated cloud records only after Supabase, assignments, migrations, and role permissions are configured and verified.
Client
Monthly review will appear here. Add logs or click Generate Review to create the coach-facing summary.
Plan Builder
Draft from intake, edit locally, approve, then publish to the client portal.
Coach Review Queue
Derived from plan status, missed logs, low sleep, protein gaps, lab flags, protocols, and check-ins.
Coach Decision Note
Synthetic demo onlyWorkouts Trainer
Nutrition Daily Log
Sleep + Wearables Manual
Bloodwork Clinician Review
Protocol Ledger Decision Rules
Longevity Expert Coach-only, Clinician Review
Reads this client's labs against their protocol and surfaces what a flat report misses.
Client Side
Your Longevity Plan
Clean client-facing summary without coach-only operations.
Today
Client TasksWhat You Can See
Clients see their own plan, next actions, logged sleep/nutrition/training, high-level biomarker trends, and coach-approved notes. They do not see pipeline stages, internal flags, other clients, or team-only protocol governance notes.
Today
One clear plan. Four useful signals.
Demo dataLast sync, this device
Today’s plan is loading
The client sees the action, not the internal complexity.
Progress Snapshot
Simple enough for client, useful enough for coach.
Current coach-approved plan
Your Longevity Plan
Your focus, targets, and next workout. Detailed coach notes stay out of the daily flow.
How this works
Client jobFollow today’s plan and log meal, workout, sleep, and check-in signals.
Coach visibilityLogs update the selected client record and show in Coach Portal, Analytics, Alerts, and module pages.
Automation pathManual first. Later this connects to food photos, wearables, reminders, and secure notifications.
Plan details
Today
Action PlanProgress Loop
Coach Sees ThisLog today’s signals
Open only what you need. Each saved signal should appear in your coach’s review.
Log Meal Macros
Log Workout Training
Log Sleep Recovery
Daily Check-In Behavior
Adherence Score
0%Recent Client Logs
0Coach-Approved Notes
Read OnlySynthetic Client Intelligence
Reusable synthetic demo, shows how a static lab/protocol packet becomes ongoing LongevityOS service
What this screen isA sample prospect-analysis workspace. It shows how raw labs plus current protocols become a sellable monitoring service.
How to use it on a callStart with Workflow, show the flagged mismatches, explain the protocol ledger, then open the Visual Report or printable case.
Where data comes fromToday: uploaded PDFs/manual notes. Later: lab imports, wearables, medication/protocol forms, nutrition logs, and coach review history.
Reusable Prospect Conversion View
The offer is not another lab report. It is a control system for the client’s entire optimization plan.
In the sample case, the client’s metabolic and inflammatory markers are strong. The opportunity is the advanced stack: hormones, peptides, GLP-1 therapy, supplements, symptoms, and follow-up labs are not governed by clean decision rules. LongevityOS converts this from scattered PDFs into a tracked, clinician-reviewable operating system.
Use this for every client: ingest the data, identify mismatches, map each protocol item to a KPI, define the next review, and show the client why ongoing monitoring is worth paying for.
Opportunity Score
84
good base, high optimization upside
Stack Complexity
15+
active meds/supplements to govern
Critical Mismatches
4
E2, IGF-1, HDL, safety markers
Service Model
OS
dashboard + review cadence + coach workflow
94
Metabolic
A1c 4.9, glucose 86
95
Inflammation
hs-CRP 0.81
78
Cardio
ApoB good, HDL low
61
Hormones
E2/DHT mismatch
55
Growth Signal
IGF-1 low on peptide
48
Protocol Governance
KPI ledger needed
1. Ingest
Labs, protocol schedule, meds, supplements, injections, wearables, nutrition, symptoms.
2. Interpret
Separate what is healthy from what is noisy, risky, redundant, or unmeasured.
3. Govern
Assign every protocol item a biomarker target, symptom target, and recheck date.
4. Prove
Show changes over time so the client sees why the service is worth staying on.
Manual intake pathCoach uploads PDFs or enters labs/protocols manually. The system creates flags, a protocol ledger, and client deliverables.
Future automated pathLab portals, wearables, food photos, and forms feed the same client record automatically after secure auth/storage exists.
Coach decision pathNothing medical-adjacent changes automatically. The system routes items to coach/clinician review with dates and KPIs.
ApoB
78
favorable particle burden
Estradiol
59
high despite modulation
IGF-1
31.8
low for age despite peptide
Hematocrit
50.7
watch with androgen stack
Priority Biomarker Flags
6 SignalsHow to Read Signals
Guide1
Green is not done
Strong markers prove the client has a good base. They do not remove the need to govern complex protocols.
2
Red means review
Red markers become questions and recheck plans, not automatic medication or supplement changes.
3
Trend beats snapshot
The business value is repeat review: labs plus symptoms plus logs over time.
Protocol Intelligence
KPI NeededProtocol Ledger Rule
Required1
Purpose
Why is the client taking this or doing this?
2
Biomarker KPI
Which lab, wearable, or body-composition signal should move?
3
Symptom KPI
What should the client feel: energy, sleep, libido, hunger, soreness, mood?
4
Review date
When do we continue, adjust, pause, or escalate for clinician review?
30-Day Client Action Plan
Clinician ReviewHow We Explain This
Sales narrative for the call
Not medical advice, clinician-review workflow
Nutrition Engine
AI fat loss protocol, 12 weeks to summer
How to use itOpen Edit to confirm body stats, preferences, training, sleep, stress, and restrictions. Generate creates the demo meal plan.
Where it goesPublish to Client writes calories, protein, macro rules, and meal structure into the active client’s coach plan draft.
Manual vs futureToday macros are generated from local/demo inputs. Later food photos, weigh-ins, adherence, and wearable recovery will adjust targets.
Build Your Protocol
Your biometrics are loaded. Confirm your profile and get a fully personalized AI meal plan in 60 seconds.
Streaks
Alcohol-free and substance-free momentum
The calendar itself stays in this session. Marking today creates a coach-visible check-in only when cloud sync succeeds.
Current Streak
0
consecutive clean days
Longest Run
0
personal best
Money Saved
$0
estimated at $18 per avoided night
Sleep Lift
+9
avg score on clean streak weeks
Clean Calendar
30 DaysMilestones
NextVoice Journal
Typed notes first; live speech works only when the browser grants microphone access
The full journal timeline stays in this session. Saving creates a coach-visible check-in only when cloud sync succeeds.
How to use itClient speaks or types a short note about mood, food, drink, sleep, cravings, soreness, stress, or anything the coach should know.
Where it goesSaving creates a journal entry and a coach-visible check-in signal for the selected client in Coach Portal, Alerts, Analytics, and Client Portal history.
Manual vs futureOn localhost this may fall back to typed/demo text. Production needs HTTPS, permissions, mobile dictation, reminders, and secure AI summaries.
Journal Capture
Text or VoiceStatusReady. Click Start Voice or type manually.
DestinationActive client coach memory
Detected tagsAnalyze to update
Detected Patterns
Coach MemoryRecent Entries
0 EntriesFood Log + Coach Review
Client meals, macro estimates, trainer notes, and flags
How to use itSelect a client, type the meal, optionally attach a photo placeholder, then Estimate + Add. The coach can add a note per client.
Where it goesFood entries sync into the active client nutrition history and feed Coach Portal, Client Portal, Analytics, and protein-gap alerts.
Manual vs futureToday estimates are rule-based. Later this should use secure image upload plus a vision/macro model with coach approval.
Clients
3 ActiveCalories
0
target 2,020 kcal
Protein
0g
target 180g
Flags
0
coach review items
Macro Split
0%
Log Meal
EstimateCoach Note
Alex M.Meal Timeline
0 LogsBreathwork
Guided sessions with wearable correlation
Session history and wearable animations stay in this session. A completed session creates a coach-visible check-in only when cloud sync succeeds.
How to use itChoose a breath protocol, press Start, and save the session. Use this for stress downshift, sleep onset, or recovery days.
Where it goesSaved breathwork writes a recovery check-in for the active client so the coach sees stress-management behavior.
Manual vs futureToday wearable values are demo correlations. Later Oura, Whoop, Garmin, and Apple Health can provide live HR/HRV.
Ready
05:00
Selected Protocol
Coherence Breathing
5 second inhale, 5 second exhale. Best for HRV recovery and nervous system downshift.
Oura HR
58
bpm live
Whoop HRV
62
ms estimate
Garmin Stress
28
downtrend
Session History
CorrelatedSleep Protocols
Tonight4-7-8 before bed
Start 30 minutes before lights out when HRV drops below 60ms.
Coherence after caffeine
Voice journal shows afternoon coffee links to lighter sleep. Add 5 minutes at 6pm.
LongevityOS SOP / Handoff
What exists, how it works, what is missing, and how to continue
Current Build, Clean Rebuild
This is the isolated LongevityOS clean rebuild.
Use this page as the operator handoff. This fork demonstrates a focused coach/client operating system for intake, plan approval, daily action, review, and iteration. It is intentionally separate from the old GitHub/Vercel project; no review deployment is claimed on this branch.
Repository
Current fork worktree
Local URL
http://127.0.0.1:5178/
Storage
Synthetic local demo state; Supabase live when authenticated
Deploy Status
Live new Vercel project; do not touch old Vercel
Primary Flow
Intake to coach blueprint
Open the intake, capture client context, save locally, and generate the coach planning summary.
/?view=intake
Team Flow
Coach reviews clients
Use the board, logs, labs, protocol ledger, and client preview to explain the operating model.
/?view=coach
Client Proof
Sample intelligence report
Use the synthetic sample to show how labs, protocols, risks, and next actions become a service.
/?view=client
What Is There
Modules1
Dashboard
Demo longevity score, bio age, risk detection, daily protocol, biomarkers, habits, quick-log routing, and AI-style insight.
2
Intake
Working questionnaire with collapsible sections for identity, goals, body comp, medical history, injuries, training, equipment, schedule, nutrition, restrictions, sleep, stress, supplements, medications, labs, motivation, and accountability.
3
Coach Portal
Coach-side workflow: client pipeline, logs, labs, protocol ledger, review summary, and client-view preview.
4
Client Intelligence
Synthetic sample case, visual report, printable case, raw notes, biomarker flags, protocol intelligence, and 30-day plan.
5
Nutrition, Food, Streaks, Journal, Breathwork
Prototype flows that show client logging and coach review. Food photo macros still need secure storage/model inference; voice capture uses browser speech recognition when available and typed fallback when not.
How It Works
FlowA
Start With Intake
Capture the context an AI or coach needs before designing exercise, macros, diet, sleep support, lifestyle targets, and protocol governance.
B
Generate Blueprint
The right rail creates a client profile summary plus a draft plan packet for training, macros, diet structure, sleep, biomarkers, and coach review.
C
Coach Reviews
The coach side is for decisions: pipeline stage, client summary, workouts, nutrition logs, sleep, labs, protocols, and review notes.
D
Client Executes
The client side should stay simple: what to do today, what to log, progress, streak/adherence, and coach-approved notes.
How To Use This Prototype
SOPWhat Is Missing
ProductionDemo vs Real Service
BoundaryNext Build Path
RoadmapNext Chat Handoff Prompt
Copy ThisAnalytics
Portfolio health, adherence, logs, plans, alerts, and client progress signals
Client Portfolio
Live LocalWhat The Numbers Mean
Operator ViewBiomarker Tracker
Manual lab entry, range status, trend history, and clinician-review flags
How to use itEnter lab markers manually for the active client. Use status to mark optimal, watch, or review.
Where it goesMarkers save to the client biomarker record and feed Coach Labs, Alerts, Analytics, and Client Intelligence.
Manual vs futureManual entry comes first. Later: PDF parsing, lab portal imports, reference ranges, trend charts, and clinician-review workflows.
Active Client Labs
ClientAdd Biomarker Manual
Biomarker Operating Rules
SafetyTrend Summary
Coach ViewProtocol Ledger
Every protocol item needs purpose, biomarker KPI, symptom KPI, review date, and owner
How to use itAdd any behavior, supplement, medication-adjacent item, sleep rule, or nutrition rule that needs tracking.
Where it goesProtocols attach to the active client and become coach review items when they are not marked Continue.
Safety ruleProtocol suggestions are coaching support only. Hormones, peptides, GLP-1, labs, and medications stay clinician-review language.
Active Protocols
ClientAdd Protocol Ledger
Governance Checklist
RequiredWorkout Program
Coach-assigned plans, client completion logs, RPE, progression, and recovery notes
How to use itCoach assigns the next session or logs completion for testing. Client completion also appears here.
Where it goesWorkout plans and logs attach to the active client and update adherence, Coach Portal, Client Portal, and Analytics.
Manual vs futureManual workout logging first. Later: program templates, trainer roles, progression rules, and calendar reminders.
Plans + Completed Sessions
ClientAssign / Log Workout Action
Program Design Inputs
From IntakeSleep + Recovery
Bed/wake target, score, HRV, resting HR, hours, consistency, and coach review
How to use itLog sleep score, hours, HRV, resting HR, and context. Use it to decide push, maintain, or recovery day.
Where it goesSleep logs attach to the active client and update Client Portal, Coach Portal, adherence, and review alerts.
Manual vs futureManual/wearable copy first. Later: Oura, Whoop, Garmin, Apple Health, and automatic sleep consistency trends.
Sleep History
ClientLog Sleep Recovery
Sleep Plan
Client VisibleAlerts
Cross-client review items generated from local data
Open Review Items
0 OpenIntegrations
Manual sandbox for validating lab, wearable, meal, and trainer-note mappings
How to use itPaste a small lab, wearable, food, or trainer-note sample for the active client, then verify every parsed value.
Where it goesIn cloud mode, recognized entries use the same consent-gated Supabase writers as manual logs. Failures remain visibly unsynced.
BoundaryThis is a manual mapping sandbox, not a connected lab, wearable, photo, message, or calendar integration.
Integration Map
Local FirstImport Sandbox
DemoSettings
Operator controls, safety language, environment state, and demo utilities
Operator Settings
LocalCurrent Local State
Browser StorageSystem Health
Checking