AI-native infrastructure for peptide & metabolic health

Run the clinic.Protect the claims.Grow the business.

Protocol OS replaces the disconnected software, compliance reviewers, agencies, and spreadsheets behind a modern telemedicine practice with one connected operating system.

One platformOperations, compliance, growth
Eight modulesConnected by one shared state
Human-controlledAI acceleration, accountable review
● System online
01
Patient OperationsLead → intake → provider → lifecycle
RUN
02
ClaimRightScan → rewrite → re-check → ledger
PROTECT
03
Growth StudiosCreate → test → learn → improve
GROW
The infrastructure is comprehensive. The operator experience is deliberately simple.
The fragmented reality

Most telemedicine companies are not platforms. They are piles.

A form tool, an EMR, a marketing agency, a compliance reviewer, an ad generator, an analytics dashboard, and somebody manually reconciling all of it.

01

Leaky acquisition

Campaign attribution disappears between the ad, intake form, qualification, and provider queue.

02

Risky creative

Claims are generated quickly, reviewed slowly, and often corrected only after rejection or escalation.

03

Generic marketing

Creative decisions rely on intuition and recycled personas rather than explicit behavioral hypotheses.

04

No shared state

Clinical operations and growth teams cannot see the same patient journey or learn from the same data.

Protocol OS does not add another tool. It replaces the gaps between the tools.
One operating system

Three business-critical layers. One simple workflow.

Layer 01

Run.

Own the patient journey from the first click through provider review and ongoing lifecycle management.

  • Acquisition and attribution
  • Configurable clinical intake
  • Qualification and routing
  • Provider queues and status control
  • Structured operational logging
One visible source of operational truth.
Layer 02

Protect.

Turn compliance review from a last-minute redline into a repeatable, documented production workflow.

  • Multi-channel claim scanning
  • AI-assisted risk-language rewrites
  • Automatic re-scan against configured rules
  • Platform-specific variants
  • Exportable review ledger
Safer variants, explicit reasoning, human approval.
Layer 03

Grow.

Build marketing around behavioral hypotheses, controlled creative systems, and closed-loop learning.

  • Image and video creative studios
  • Persona and audience scoring
  • A/B hypothesis generation
  • Funnel continuity and style-lock
  • Performance-informed iteration
A growth engine that learns instead of guessing.
01AttractCampaign + creative
02QualifyQuiz + intake
03ReviewProvider queue
04LearnLifecycle + campaign data
ClaimRight compliance intelligence

Every claim leaves a trail. Make yours defensible.

ClaimRight scans regulated health advertising, identifies high-risk language, proposes lower-risk alternatives, rechecks the revision, and preserves the reasoning for human review.

It is not a magic “legal approval” button. It is a disciplined compliance workbench that makes expert review faster, more consistent, and auditable.

> claimright scan --platforms all
Loading configured rule families...
BLOCKER — unqualified outcome claim detected
BLOCKER — disease-treatment language detected
FLAG — substantiation not attached
FLAG — disclosure language incomplete
Generating revised candidate...
RE-SCAN COMPLETE — internal rule score 91/100
Status: READY FOR REQUIRED HUMAN REVIEW
Behavioral-science growth engine

Marketing is not decoration. It is an engineered decision environment.

Every creative and funnel can be built around explicit cognitive and behavioral principles, then tested against real campaign outcomes.

Loss framingPosition urgency around a concrete cost of inaction rather than generic upside.
SpecificityReplace vague superiority claims with inspectable mechanisms, numbers, and evidence.
Visual cognitionControl focal hierarchy, contrast, clutter, and recognition speed across formats.
Commitment designSequence micro-decisions so each step naturally earns the next one.
Persona testingEvaluate messages against structured audience profiles instead of anecdotal personas.
Funnel continuityPreserve message, palette, promise, and page scent from ad through intake.
Pre-registered hypothesesLog what the system expects before the test runs, then compare prediction with reality.
Closed-loop learningPromote what worked, record what failed, and improve the next generation.
Inspectable infrastructure

Eight connected modules. No black-box handoffs.

Each module does a specific job. Together, they form a single operating spine from campaign creation through patient operations.

MODULE 01

Lifecycle Engine

Acquisition, intake, qualification, provider review, and explicit state transitions.

MODULE 02

Creative Studios

Controlled image and video variant generation using brand, audience, and rule inputs.

MODULE 03

A/B Harness

Structured hypotheses, test cells, attribution, and post-test reconciliation.

MODULE 04

ClaimRight

Claim scanning, assisted rewrite, re-scan, evidence notes, and review history.

MODULE 05

Persona Lab

Structured audience scoring with explicit reasons for resonance and failure.

MODULE 06

Funnel Generator

Modular landing sequences with consistent style, message, and source attribution.

MODULE 07

Operations Layer

Queues, logs, health probes, status visibility, and controlled operator actions.

MODULE 08

Hardened API

Documented, narrow, rate-limited integration boundaries for approved systems.

Engineering discipline

Built to survive scrutiny, not merely survive the demo.

The platform separates generation from review, records state changes, and keeps human decision authority at the consequential gates.

25

Hardening stages

Adversarial builder/reviewer passes used to expose defects before production release.

20

Persona profiles

Structured creative evaluation capacity for segment-specific analysis and commentary.

1

Shared source of truth

Patient lifecycle, creative lineage, compliance reasoning, and operational activity stay connected.

Performance claims and pilot metrics should be presented only when supported by a verifiable data source, methodology, and cohort definition. Illustrative outputs should remain unmistakably labeled as illustrative.
Built for serious operators

One system. Different strategic entry points.

Practice owners

Replace fragmented vendors and gain visibility across acquisition, intake, and operations.

Marketing teams

Create, test, and learn without separating conversion strategy from claim risk.

Compliance teams

Standardize review reasoning, preserve evidence notes, and export a usable activity trail.

Platform partners

Deploy modular capabilities through a controlled integration and operating architecture.

Private product walkthrough

See the actual operating system—not another slide deck.

Walk through the patient lifecycle, ClaimRight review loop, creative studios, persona lab, and operational controls in one focused demonstration.

AI-assisted outputs require appropriate human clinical, legal, compliance, and platform-policy review before publication or operational use.