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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Clara — Understand. Remember. Support. Over time.</title>
<meta name="description"
content="Clara is a longitudinal AI health companion designed to make every health conversation more useful than the last.">
<link rel="stylesheet" href="assets/css/styles.css">
</head>
<body>
<!-- =========================================================
NAVIGATION
========================================================= -->
<header class="site-header">
<div class="container nav-container">
<a class="brand" href="#top" aria-label="Clara home">
<span class="brand-mark">C</span>
<span class="brand-name">Clara</span>
</a>
<nav class="main-nav" aria-label="Main navigation">
<a href="#demo">Demo</a>
<a href="#how-it-works">How it works</a>
<a href="#architecture">Architecture</a>
<a href="#research">Research</a>
</nav>
</div>
</header>
<main id="top">
<!-- =======================================================
HERO
======================================================= -->
<section class="hero">
<div class="container hero-container">
<div class="hero-copy">
<p class="eyebrow">A longitudinal AI health companion</p>
<h1 class="hero-principles">
Understand. <span>Remember.</span> <span>Support.</span> <span>Over time.</span>
</h1>
<p class="hero-description">
Clara is designed to make every health conversation more useful
than the last — by understanding the person, remembering what
matters, and helping them move forward over time.
</p>
<div class="hero-actions">
<a class="primary-button" href="#demo">
<span class="play-icon" aria-hidden="true">▶</span>
Watch the demo
</a>
<a class="text-link" href="#how-it-works">
See how Clara works
<span aria-hidden="true">↓</span>
</a>
</div>
</div>
<div class="hero-visual" aria-hidden="true">
<div class="orb orb-large"></div>
<div class="orb orb-small"></div>
<div class="hero-glow"></div>
<div class="hero-card">
<div class="hero-card-dot"></div>
<div class="hero-card-lines">
<span></span>
<span></span>
<span></span>
</div>
</div>
</div>
</div>
</section>
<!-- =======================================================
DEMO
======================================================= -->
<section class="demo-section">
<div class="container">
<div class="section-intro centered">
<p class="eyebrow">See Clara in action</p>
<h2>
A conversation that<br>
continues over time.
</h2>
<p>
Watch how Clara responds to a person's health questions while
building context for future conversations.
</p>
</div>
<div class="video-wrapper" id="demo">
<iframe class="demo-video" src="https://www.youtube.com/embed/E7Nz-9mK2WM" title="Clara / AI Health Agent — Demo"
frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowfullscreen>
</iframe>
</div>
</div>
</section>
<!-- =======================================================
HOW IT WORKS
======================================================= -->
<section class="content-section" id="how-it-works">
<div class="container">
<div class="section-heading">
<p class="eyebrow">More than answering today's question</p>
<h2>
Clara is designed around the reality that health management is ongoing.
</h2>
<p>
Different conversations call for different kinds of support.
</p>
</div>
<div class="feature-grid">
<!-- Understand -->
<article class="feature-card">
<span class="feature-number">00:34</span>
<h3>Understand the person</h3>
<p>
Clara builds a working picture of the person's health,
circumstances, priorities, and concerns. This context
helps make future conversations more useful.
</p>
</article>
<!-- Remember -->
<article class="feature-card">
<span class="feature-number">01:04</span>
<h3>Remember selectively</h3>
<p>
Stable health information and meaningful long-term goals
can become part of the person's continuing context, while
temporary details do not need to become permanent memory.
</p>
</article>
<!-- Support -->
<article class="feature-card feature-card-wide">
<span class="feature-number">01:27</span>
<h3>Support the person</h3>
<p>
Clara supports the person in several ways, depending on
what the situation calls for.
</p>
<div class="support-subfeatures">
<div class="support-subfeature">
<h4>Collaborate on care</h4>
<p>
Clara can help turn priorities into practical
self-management actions through an agreed
Care Plan.
</p>
</div>
<div class="support-subfeature">
<h4>
Bring in evidence when it matters
<span class="feature-time">03:49</span>
</h4>
<p>
When current, authoritative, or medication-specific
evidence would materially improve an answer, Clara
can seek it out rather than relying only on
general knowledge.
</p>
</div>
<div class="support-subfeature">
<h4>
Prepare for clinical conversations
<span class="feature-time">04:30</span>
</h4>
<p>
When a decision requires healthcare professional
involvement, Clara can help the person prepare
questions and organize a productive conversation
with their clinician.
</p>
</div>
</div>
</article>
<!-- Over time -->
<article class="feature-card">
<span class="feature-number">05:45</span>
<h3>Support over time</h3>
<p>
Clara can follow up on what happened before, recognize
progress, and continue from where the previous conversation
left off. Over time, repeated interactions can create a
richer understanding of the person's situation and help
make future support more relevant.
</p>
</article>
</div>
</div>
</section>
<!-- =======================================================
TECHNICAL ARCHITECTURE
======================================================= -->
<section class="content-section architecture-section" id="architecture">
<div class="container">
<div class="section-heading">
<p class="eyebrow">Technical architecture</p>
<h2>
Built as a longitudinal AI system,
not just a conversational interface.
</h2>
<p>
Clara combines a conversational agent with persistent,
structured health context, care planning, and grounded
external research. The architecture is designed so that
conversations can lead to durable updates and useful
follow-up over time.
</p>
</div>
<div class="feature-grid">
<article class="feature-card">
<span class="feature-number">01</span>
<h3>Conversational agent</h3>
<p>
A primary AI agent handles the ongoing relationship
with the user. It interprets intent, reasons over
available context, provides health guidance, supports
goal coaching, and orchestrates actions such as
memory updates, care planning, and research.
</p>
</article>
<article class="feature-card">
<span class="feature-number">02</span>
<h3>Longitudinal memory</h3>
<p>
Clara separates persistent health information from
short-term working context. Health Profile captures
relatively stable user facts, while Care Context
captures what matters now. Care Plans and physician
engagement records turn conversations into visible,
actionable longitudinal state.
</p>
</article>
<article class="feature-card">
<span class="feature-number">03</span>
<h3>Grounded research</h3>
<p>
When external evidence can materially improve an
answer, Clara can invoke a research layer that
retrieves evidence using an appropriate research mode,
including medication, clinical, patient-education,
regulatory, and other evidence contexts.
</p>
</article>
<article class="feature-card">
<span class="feature-number">04</span>
<h3>From conversation to action</h3>
<p>
The frontend exposes the longitudinal state created
through the agent workflow: Health Profile, Care Plans,
physician appointments, and discussion questions.
Update indicators make changes created by Clara visible
to the user and connect the conversation to the rest
of the application.
</p>
</article>
</div>
<div class="architecture-link-wrapper">
<a class="research-link" href="architecture.html">
Explore the technical architecture
<span aria-hidden="true">→</span>
</a>
</div>
</div>
</section>
<!-- =======================================================
RESEARCH CONNECTION
======================================================= -->
<section class="research-section" id="research">
<div class="container">
<div class="research-card">
<div class="research-heading">
<p class="eyebrow">Research & background</p>
<h2>
From population-level
targeting to individual support.
</h2>
</div>
<div class="research-copy">
<p>
My research explores machine learning models for identifying future high-cost patients
</p>
<p>
Clara explores a complementary question:
<strong>
once someone may benefit from care management, how can
longitudinal AI support make that care more useful at the
individual level?
</strong>
</p>
<p>
The research focuses on identifying who may benefit from
intervention. Clara explores what comes next: understanding the
person, remembering what matters, bringing in evidence when it
helps, and supporting meaningful action over time.
</p>
<a class="research-link" href="https://doi.org/10.1177/19427891261488894" target="_blank"
rel="noopener noreferrer">
Read the research
<span aria-hidden="true">↗</span>
</a>
</div> </div>
<div class="research-visual" aria-hidden="true">
<div class="research-line line-one"></div>
<div class="research-line line-two"></div>
<div class="research-line line-three"></div>
<div class="research-node node-one"></div>
<div class="research-node node-two"></div>
<div class="research-node node-three"></div>
<div class="research-node node-four"></div>
</div>
</div>
</div>
</section>
<!-- =======================================================
ACKNOWLEDGMENTS
======================================================= -->
<section class="acknowledgment-section" id="acknowledgments">
<div class="container">
<div class="section-intro">
<p class="eyebrow">Acknowledgments</p>
<h2>
Built with help<br>
from many places.
</h2>
</div>
<div class="acknowledgment-grid">
<article class="acknowledgment-item">
<h3>OpenAI / ChatGPT</h3>
<p>
Development support from concept and product design through
architecture, implementation, iteration, and demo development.
ChatGPT served as a co-developer throughout the project.
</p>
</article>
<article class="acknowledgment-item">
<h3>The open-source community</h3>
<p>
Built with and enabled by the broader open-source software
community and the many tools, libraries, and contributors that
make modern software development possible.
</p>
</article>
<article class="acknowledgment-item">
<h3>Google AI Studio</h3>
<p>
For access to AI models and development resources used during
the project.
</p>
</article>
<article class="acknowledgment-item">
<h3>Anthropic Academy</h3>
<p>
For educational resources that helped build foundational
knowledge in AI programming.
</p>
</article>
</div>
</div>
</section>
<div class="section-break" aria-hidden="true"></div>
<!-- =======================================================
FINAL CTA
======================================================= -->
<!-- =======================================================
FINAL CTA
======================================================= -->
<section class="final-cta">
<div class="container centered">
<p class="eyebrow">See Clara in action</p>
<h2>
Understand. Remember. Support.
<span>Over time.</span>
</h2>
<a class="primary-button" href="#demo">
<span class="play-icon" aria-hidden="true">▶</span>
Watch the demo
</a>
</div>
</section>
</main>
<!-- =========================================================
FOOTER
========================================================= -->
<footer class="site-footer">
<div class="container footer-container">
<div class="footer-brand">
<span class="brand-mark">C</span>
<span>Clara</span>
</div>
<div class="footer-info">
<p>
An AI health companion prototype exploring longitudinal,
memory-supported care management.
</p>
<p class="footer-contact">
Interested in Clara or have questions?
<a href="mailto:Chunhui.Mo@yahoo.com">
Chunhui.Mo@yahoo.com
</a>
</p>
</div>
<a href="#top" class="back-to-top">
Back to top ↑
</a>
</div>
</footer>
<script src="assets/js/main.js"></script>
</body>
</html>