Scope
The platform grows before the wedge earns trust.
Most health-AI products do not need a smaller ambition. They need a first version that proves the workflow, the trust model, and the product behavior before the roadmap adds more surface area.
Health-Tech Founders // Advisor + Builder
Health-tech founders: build the AI product you can defend clinically and ship.
I help founders pressure-test the clinical logic, narrow the MVP, set responsible AI boundaries, and turn the next decision into specs, a prototype, or shipped software.
Work with an MD, Nakama Health founder, and hands-on builder for one decision session, a clinical product review, a build sprint, or retained advisor-builder support.
Current build
Nakama Health — health safety net for trusted communities.
Google Calendar reserves the time only; I confirm fit and payment details before the session is locked in.
Medical doctor
Nakama Health founder
Shipped health products
Hands-on builder
Founder Bottlenecks
Where health-tech products get expensive before they get trusted.
The expensive mistakes usually happen before launch: too much scope, unclear AI behavior, weak workflow fit, and a first build that does not prove the right thing.
Trust
The risky moment is what the product does next.
The product needs to know what it can say, what needs review, what should route to a human, and what it should not answer at all.
Workflow
The user, buyer, reviewer, and risk owner may be different people.
A health-tech product has to fit the real room: the person using it, the person paying for it, the person reviewing it, and the person carrying the downside when something goes wrong.
Build
Advice is only useful if it changes the product.
The output should not be a deck of opinions. It should be a narrower product, clearer AI boundaries, a better founder narrative, and a path to the first useful build.
Founder Scope
Make the clinical product decision before it becomes engineering debt.
Use this when the product is important enough to get right: the clinical claim, the workflow, the AI behavior, the MVP slice, and the build path.
The one workflow worth proving first
The clinical claim the product can responsibly make
Where AI should answer, assist, escalate, or stay quiet
Patient, clinician, operator, and buyer realities that change the product
The founder narrative for investors, partners, and early design partners
The smallest shippable slice that creates evidence
Ways To Work
Start with the decision. Continue only when the build path is real.
Focused review
Best first step when the product feels fuzzy
Clinical Product Review
Pressure-test the idea, prototype, workflow, roadmap, or pitch before the team commits to the wrong first product shape.
- Clinical product critique
- AI boundary map
- Workflow risk review
Build sprint
Prototype, MVP slice, or technical path
Health-AI Build Sprint
Turn a validated decision into a product slice the team can build, test, demo, or hand off without pretending it is the whole company.
- Product brief
- User journey
- AI behavior design
Retained support
Monthly or milestone-based
Retained Advisor-Builder
Ongoing clinical product judgment, roadmap pressure, architecture review, and hands-on build support when the decisions keep compounding.
- Founder decision support
- Roadmap pressure-testing
- Product and architecture review
90 minutes
Start here if the decision is unclear
Decision Session
A focused session for one product, AI boundary, MVP, launch, partner, or clinical trust decision that needs a sharper next move.
- Decision review
- Tradeoff map
- Product boundary notes
Public Proof
Public proof from health products already built.
Public-safe proof across founder work, consumer health, mental wellness, and chronic-care products. Private evidence stays private.
Current
2024 to present
Nakama Health
AI-native health protection platform for proactive, continuous care, member workflows, health-data context, and trusted operational tooling.
ProofBuilt around medical reasoning, AI agents, protection-pool design, clinical product boundaries, and founder-led product execution.
Open portfolio proof
Current
2025 to present
Baylou
Doctor-built consumer health coaching app for daily plans, health context, chat and voice coaching, records, and progress.
ProofCurrent public consumer coaching brand with a live web app, store listings, daily planning flows, and doctor-built product positioning.
Open portfolio proof
Past
2020 to 2024
NAOMI Mental Wellness
Accessible CBT-oriented mental wellness platform built with psychologist collaborators.
ProofRaised $60,000 in venture capital, reached 20,000+ downloads, and translated therapeutic concepts into user-facing digital flows.
Open portfolio proof
Past
2018 to 2022
Luana Health
AI-powered lifestyle management chatbot system for cardiovascular health support.
ProofBuilt with clinicians in the United States and Slovenia; MVP used by 150 patients across Croatia and the United States.
Open portfolio proof
Working Method
How the work turns ambiguity into a buildable next move.
A health-AI product becomes easier to build when the clinical job, AI behavior, workflow owner, and first evidence slice are separated.
01
Define the health job
We name the patient, clinician, operator, or founder workflow the product must improve first.
02
Separate help from risk
We decide where AI can answer, assist, request review, escalate, refuse, or stay quiet.
03
Cut the product to evidence
We narrow the MVP to a useful slice that can be built, tested, shown, or handed to a team.
04
Ship, hand off, or keep advising
The work can stop at decision support, continue into specs, or turn into hands-on product and build support.
Trust Boundary
Clinically serious, without pretending one page solves compliance.
This is clinical product judgment and builder-level product execution: strategy, workflow design, AI behavior, MVP scope, and implementation support. Legal, regulatory, privacy, insurance, security, and medical compliance questions should be reviewed with qualified specialists.
Product strategyClinical workflowAI boundariesMVP scopeBuild support
Open a channel
Have a health-AI product decision that should not be guessed?
Bring the product, stage, users, constraints, and the decision in front of you. If there is a fit, we use the call to turn the ambiguity into the next buildable move.
Book Decision Session
Email Marino
Google Calendar reserves the time only; I confirm fit and payment details before the session is locked in.