KardiaCare + AI Companion

9:41

KardiaMobile 6L · Lead I

Sinus Rhythm

BPM

AFib burden

30s

Duration

🩺

131 / 84

Blood pressure · Recorded this morning

↑ 3 days

♥

Apple Health · Last 24 hrs Connected

5.8 hrs

😴 Sleep

↓ vs 7.1 avg

4,200

🚶 Steps

↓ 42%

28 ms

💚 HRV

↓ 22%

AI COMPANION

KardiaAIJust now

Your ECG is clear today — sinus rhythm, 68 BPM. But I'm looking at the bigger picture.

Your BP trended up 3 days in a row. Sleep dropped to 5.8 hrs. HRV is down 22%. Steps were 42% below your average. These often move together — and together they matter more than any one reading alone.

Want me to flag this pattern for Dr. Chen before your next cardiologist review?

❤️

ECG

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Screen 1 of 4 · The attach moment

Post-ECG AI Response

What you're seeing

A subscriber takes an ECG. The result is clear — sinus rhythm. But KardiaAI goes further: it pulls 3 signals from Apple Health (sleep, steps, HRV) alongside the BP reading and surfaces a cross-signal pattern that no single metric would reveal alone. This is the "attach moment" — where the AI companion earns its place in the post-ECG experience.

Why Apple Health matters here

The ECG result alone answers "what happened." Apple Health data answers "why it might have happened." Sleep deprivation, low activity, and reduced HRV are all independently associated with elevated AFib risk. Showing the convergence of all three — on a clear ECG day — is what makes this feel like a physician noticing something, not a chatbot responding.

This is what ChatGPT cannot do. It doesn't know this subscriber's baseline HRV or sleep patterns.

What we're testing with subscribers

Does seeing Apple Health data alongside the ECG feel useful — or invasive?

Does "these often move together" land as insightful — or alarming on a clear ECG day?

Is "Yes, flag it" the right framing? Does "Tell me more" satisfy curiosity or delay action?

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💡 Design rationale on every screen

Tap the lightbulb at any time to see what we're testing and why each design choice was made. Takes 30 seconds per screen.

7:14

Thursday, April 24 · 7:14 AM

This week's signals

❤️ ECG (AFib)

3 of 7

↑ from 1 last week

😴 Sleep avg

5.8 hrs

↓ from 7.1 baseline

🚶 Daily steps

4,200

↓ 42% vs avg

💚 HRV

28 ms

↓ 22% vs baseline

Good morning, Marcus. I've been tracking your numbers across your KardiaMobile, blood pressure cuff, and Apple Health data this week.

The AFib increase, poor sleep, low activity, and reduced HRV are happening at the same time. Sleep deprivation and low activity are known AFib triggers — this week's pattern fits that.

Before I flag this for a physician review, I want to hear how you're feeling.

⏱ Takes less than 60 seconds

Any symptoms in the last 24 hrs?

Heart racing

Shortness of breath

Fatigue

Dizziness

Poor sleep

Low energy

Chest discomfort

Your response helps KardiaAI decide whether to flag this for Dr. Chen

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ECG

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Screen 2 of 4 · The engagement driver

Proactive Multi-Signal Check-in

What you're seeing

The AI proactively surfaces a 4-signal convergence: elevated AFib burden (from Kardia), poor sleep and low activity (from Apple Health), and low HRV (from Apple Watch). It explains the clinical connection — sleep deprivation and inactivity are known AFib triggers — before asking a single focused question. No calendar trigger. No generic reminder. A biometric reason to engage.

Why this goes beyond ECG

Curai's value isn't ECG interpretation — AliveCor already does that. Curai's value is whole-person primary care: understanding that this subscriber's AFib burden went up the same week they slept poorly, walked half their usual steps, and showed low HRV. A cardiologist reviewing quarterly ECGs cannot see this. A physician who has the full Apple Health picture can.

This is the story Vinod needs to hear: Curai isn't a chatbot layer. It's an AI PCP that contextualizes cardiac data against the rest of life.

What we're testing with subscribers

Does a multi-signal view feel like an AI that "gets it" — or information overload?

Does "sleep and activity are known AFib triggers" land as credible — or anxiety-inducing?

Is 60 seconds credible given 4 signals shown? Or does complexity increase abandonment?

Does "help KardiaAI decide whether to flag this for Dr. Chen" give appropriate sense of control?

2:18

👩‍⚕️

Dr. Sarah Chen, MD

Internal Medicine · Curai Health

Reviewed your full health picture

2:04 PM

Reviewed before your call

❤️ 5-day ECG trend

😴 Sleep patterns · 2 wks

🚶 Activity data

💚 HRV baseline

🩺 BP history

📋

Dr. Chen's assessment

"Marcus, looking at your full picture — not just the ECGs — this week's pattern makes clinical sense. Your sleep dropped below 6 hours on the same nights your AFib burden was highest. Sleep deprivation is a significant, and often underappreciated, AFib trigger.

Before we consider any medication adjustment, I'd like to try something: two weeks of strict sleep hygiene — consistent bedtime, no screens after 9pm, 7+ hours nightly. I also want you to aim for 7,000 steps daily. These are evidence-based interventions for AFib management that often work before we reach for a prescription.

Your ECG rhythm is not dangerous right now. This is about reducing the burden over time. I've added a sleep and activity goal to your KardiaAI dashboard so it can track progress with you."

— Dr. Sarah Chen, MD · Curai Health · April 24, 2026

KardiaAI will track this

I'll check in on sleep and steps daily. If your AFib burden doesn't improve in 2 weeks, Dr. Chen will review your data again.

Your care team

KardiaAI — daily patterns, sleep, activity, symptom tracking
Dr. Chen (Curai) — physician review, intervention planning
Your cardiologist — quarterly specialist synthesis

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ECG

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Screen 3 of 4 · The proof point

Physician Review & Intervention

What you're seeing

After the subscriber's Curai consult, Dr. Chen's full assessment is shown. She reviewed 5 data streams — ECG trend, sleep, activity, HRV, BP — and recommended a lifestyle-first intervention: sleep hygiene + 7,000 steps/day for 2 weeks, before any medication change. KardiaAI will track compliance and report back.

Why this screen matters

This is what whole-person primary care looks like — powered by data the physician actually had. Dr. Chen didn't order more tests. She connected sleep data from Apple Health to a known clinical mechanism (sleep deprivation → AFib) and prescribed a lifestyle change that the AI can track daily.

This is not ChatGPT. It's not a cardiologist. It's a primary care physician with real-time access to a patient's full health picture, available between quarterly reviews. That's the Curai value proposition at its best — and it only works because the AI aggregated the data first.

What we're testing with subscribers

Does "sleep hygiene before medication" feel like real clinical care — or a brush-off?

Does seeing the 5 data pills ("reviewed before your call") build trust in the physician's assessment?

Does "KardiaAI will track this" feel like accountability — or surveillance?

Is the care team structure (AI / Curai / cardiologist) clear? Do subscribers understand each role?

10:05

90-Day Report · Jan 25 – Apr 25

Your cardiac health

47 ECGs · 62 BP readings · 84 check-ins · 2 Curai consults

💡

AFib burden

4.2

↓ 22% since start

Blood pressure

127/81

↓ 7 pts systolic

Sleep (avg)

6.9

hrs

↑ from 5.8 low

Daily steps

7,240

Goal met: 89 days

AFib burden over 90 daysSleep goal started Week 4

🤖

AI insight

After Dr. Chen's sleep and activity plan (Week 4), your AFib burden dropped 31% in 6 weeks without any medication change. Sleep duration correlates directly with your lowest-burden ECG weeks. This is lifestyle medicine working.

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ECG

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Chat

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Screen 4 of 4 · The retention driver

90-Day Outcomes Dashboard

What you're seeing

90-day outcomes across cardiac AND lifestyle metrics: AFib burden down 22%, BP down 7 pts, sleep improved from 5.8 → 6.9 hrs, step goal met 89 of 90 days. The chart shows the inflection point at Week 4 — when Dr. Chen's intervention began — with the annotation "Dr. Chen's plan." The AI insight explicitly connects the lifestyle change to the clinical outcome.

Why lifestyle outcomes belong here

This is the LTV screen. A subscriber who sees their AFib burden drop 22% because they slept better — guided by AI daily, prescribed by a Curai physician — has experienced something their cardiologist's quarterly review cannot deliver. The sleep and step stats aren't wellness data. They're the mechanism behind the cardiac outcome. Showing both makes the causal story visible and credible.

The "Share with my cardiologist" button closes the loop: the AI companion enriches the quarterly review, not replaces it.

What we're testing with subscribers

Does seeing sleep and steps alongside AFib burden make the outcome feel earned — or coincidental?

Does the Week 4 annotation ("Dr. Chen's plan") make the intervention visible enough?

Does this dashboard make the KardiaCare Plus subscription feel worth $99/year?

Would they show this report to their cardiologist? What would they want the cardiologist to see?

ECG Result

KardiaAI

Dr. Chen · Curai