Case study
AarogAI: trustworthy guidance in a sensitive domain
Health-adjacent AI must balance helpful automation with safety: clear disclosures, conservative claims, and human-in-the-loop paths when uncertainty is high.
Problem
- Users need guidance without feeling surveilled; longitudinal analytics must remain explainable and consent-aware.
- AI features can drift—without evaluation, assistants become unreliable exactly when users are most vulnerable.
Solution
- Assistant flows with explicit limitations, structured prompts, and logging that supports audits without storing unnecessary sensitive text.
- Programs and reminders designed around adherence metrics operators can act on—without reducing humans to a single score.
Architecture
- Separation between conversational surfaces and domain logic; nutrition and habit modules isolated behind typed services.
- Placeholder screenshots: `/public/images/aarogai-case-1.png`.
Technology stack
- Flutter / Web surfaces
- Node.js
- AI provider APIs
- PostgreSQL
- Analytics pipelines
- AWS
Challenges
- Designing UX that encourages healthy behavior without shame-based patterns that backfire.
- Keeping model costs predictable as usage grows while maintaining responsiveness.
Results
- Clearer product narrative for trust: users understand what the assistant can and cannot do.
- Operational workflows for reviewing edge-case responses and improving datasets responsibly.
Screenshots
Placeholder: assistant chat, nutrition summary, program timeline, and reminders screens.
Lessons
Ship AI incrementally with evaluation gates; health domains punish “move fast break things” more than most categories.
Frequently asked questions
- Is AarogAI a medical device?
- Positioning and compliance depend on feature claims and jurisdictions; consult legal counsel for regulated claims.
- Can you build AI wellness features for our app?
- Yes—contact us with your domain constraints and evaluation requirements.
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Consultation
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Scope, timeline, and success metrics—we reply within one business day with clear next steps.