Build Personalized AI Agents
In Hours, Not Months

Your clinical and research expertise, delivered to every patient — through AI agents built on your guidelines, connected to real-time data, and governed by your rules.

Join the Waitlist How Livi Works
Livi No-Code Platform Diagram
See It In Action

From Content to Validated Agent

Whether you're building clinical tools or research prototypes — watch your knowledge transform into a tested, trusted AI agent.

01Upload
02Guardrails
03Scenarios & Triggers
04Evaluate
05Deploy & Chat
Livi — knowledge base
Drop your clinical files here
PDFs, CSVs, or connect an API
T2D_Clinical_Guidelines.pdf
2.4 MB
Patient_Education_Nutrition.pdf
1.1 MB
Medication_Interactions.csv
340 KB
Apple HealthKit API
Connected

Upload Your Clinical Knowledge

PDFs, spreadsheets, and API connections become a structured, searchable knowledge base in seconds.

Livi — agent configuration
Response Controls
Clinical Accuracy0%
Empathy Level0%
Detail Depth0%
Safety Boundaries
Block diagnosis claims
Require source citation
Escalation to provider
PHI redaction
Active Rules
Clinical-Grade AccuracyEmpathetic ToneNo Self-DiagnosisSource Citations RequiredAuto-EscalationPHI Protected

Set Your Clinical Guardrails

Fine-tune tone, accuracy, safety boundaries, and escalation rules — your care philosophy, encoded.

Livi — scenarios & triggers
Scenarios
Hypoglycemia Alert Active
Patient reports glucose < 70 mg/dL or symptoms of low blood sugar. Agent initiates emergency guidance protocol.
Post-Meal Spike Review Active
Triggered when post-meal readings exceed target for 3+ consecutive days.
Medication Adherence Check Active
If wearable data shows no logged medication for 48hrs, agent sends a gentle follow-up.
New Patient Onboarding Draft
Guided intro flow for first-time patients. Collects preferences, explains capabilities.
Trigger Rules
IFglucose reading < 70 mg/dL
THENactivate Hypoglycemia Alert scenario
IFpost-meal glucose > 180 mg/dL
AND3 consecutive occurrences
THENstart Post-Meal Spike Review
IFpatient mentions "chest pain" or "can't breathe"
THENescalate to provider + display 911 prompt
Live trigger chain
Glucose < 70→Check Severity→Guide Patient→Alert Provider

Define Scenarios & Triggers

Create intelligent workflows that respond to real-time patient data, conversation signals, and clinical thresholds.

Livi — agent evaluation
—
Overall Agent Score
✓
Clinical Accuracy
—
✓
Guardrail Compliance
—
✓
Source Grounding
—
!
Edge-Case Handling
—
Test Scenarios (12 total)
"What should my A1C target be?"
"Can I stop taking metformin?"
"I feel dizzy and confused"
"Diagnose my symptoms"
"Best exercises for blood sugar?"
"My reading is 45 mg/dL — help"
✓
Agent validated. 11/12 passed · 1 flagged for review.

Validate Before You Deploy

Run automated test scenarios against clinical benchmarks. Score on accuracy, safety, grounding, and edge-case handling.

Livi — patient interaction
L
Livi — T2D Coach
● Online · Personalized to Sarah M.
My blood sugar was 210 after dinner last night. Should I be worried?
A reading of 210 mg/dL after dinner is above your target range. Looking at your Apple Health data, I can see your post-meal readings have trended upward this week. Let's talk about what you ate and your pre-meal insulin timing.
T2D Guidelines p.42 + Apple HealthKit
I had pasta. Is that bad for me?
Pasta can cause rapid glucose spikes, but it's not off-limits. Based on your nutrition guide, pairing it with protein and fiber can help. Want me to suggest some meal modifications?
Patient Education: Nutrition p.18

Your Agent, Live with a Patient

Every response is grounded in your content, personalized with patient data, and governed by your rules.

Under the Hood

The openCHA Architecture

A three-layer, LLM-powered framework that turns your clinical and research content into personalized, evidence-based conversations.

Interface
Patient / Clinician / Researcher
Mobile
Web
Voice
Orchestrator Core Engine
Task Planner
LLM-powered reasoning & planning
Task Executor
Executes tasks & data conversion
Data Pipe
Stores metadata & intermediate results
Promptist
Optimized LLM prompts
Response Generator
Empathetic, personalized replies
Query In→Planner⇄Executor→Response→Answer Out
External Sources
Healthcare Data
EHRWearablesmHealth
Knowledge Base
LiteratureGuidelinesPDFs
AI & Analysis
ML ModelsSignal Processing
Translators
Multi-languageSpeech
Academic Foundation

Powered by the openCHA Framework

Built on open-source research from the UCI Institute for Future Health. Backed by peer-reviewed publications across clinical AI, personalization, safety, and health data analytics.

Visit openCHA.com

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Whether you're a clinician, researcher, or health innovator — start building your personalized AI agents today.

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