Sarah’s Hashimoto’s Story
A narrative-driven AI concept film exploring missed diagnoses and connected health intelligence
What happens when all the signals are there, but no one connects them?
The Brief
Create a story that highlights a critical gap in healthcare, how early signals often go unnoticed, leading to delayed diagnoses. The objective was to move beyond product explanation and build a human-first narrative that shows the real cost of disconnected health systems.
The Insight
Patients don’t just suffer from conditions, they suffer from not being understood. Symptoms appear over time, across different systems, but are often treated in isolation. The real problem isn’t the absence of data, but the absence of connection.
The Idea
Tell the story through a single voice 'Sarah' whose journey reflects a larger systemic issue. A narrative that begins with confusion, moves through frustration, and ends with clarity, positioning AI as the intelligence that could have connected the dots earlier.
My Role
Creative Direction
Narrative & Script Development
AI Character & Voice Design
Visual Direction & Execution
Led the project from concept to final output, shaping the story, writing the script, and directing how the AI-driven character and visuals come together to create an emotional narrative.
Narrative Structure
Hook
“I did everything right, but something still felt wrong”
Build
Symptoms appear - fatigue, weight gain, brain fog
Conflict
Multiple consultations, but no clear diagnosis
Turning Point
Delayed diagnosis of Hashimoto’s after 18 months
Resolution
Introduction of Jivi as the intelligence that connects all signals
Execution
The film was built around a first-person narrative to create immediacy and emotional connection.
An AI-generated character was used to represent Sarah, allowing the story to feel both personal and scalable.
Visuals were designed to move between realism and abstraction,capturing both lived experience and underlying data systems.
Creative Decisions
The tone was kept restrained and honest, avoiding dramatization to maintain authenticity.
A slower pacing allowed the weight of delayed diagnosis to land naturally.
Visual language balanced human moments with system-level abstraction, reinforcing the gap between experience and understanding.
Outcome
The film successfully translated a complex healthcare problem into a deeply relatable human story.
It demonstrated how storytelling can make systemic issues visible, and how AI, when positioned correctly, can feel like a meaningful intervention rather than a feature.