Aidena

— AI STACK RECOMMENDATION

AI Mental Health Chatbot & Triage Platform

Scalable conversational AI system for patient intake, symptom assessment, and therapy session support with safety guardrails and observability.

Stays alive for 365 days after the last visit.

Healthcare

AI Mental Health Chatbot & Triage Platform

Scalable conversational AI system for patient intake, symptom assessment, and therapy session support with safety guardrails and observability.

high confidence

Core Stack ℹ︎

Claude Sonnet 4

Primary

Low hallucination rate critical for mental health; strong reasoning for nuanced patient assessment; cost-effective for high-volume triage conversations.

$0.003/1K tokens

Azure Content Safety

Primary

Detects self-harm, suicide risk, and harmful content in patient messages; essential compliance layer for mental health applications.

$0/1K tokens

AgentOps

Primary

Session replay and cost tracking for conversational flows; monitors LLM call patterns to identify triage bottlenecks and patient engagement trends.

$0/month (freemium)

Complete the Stack ℹ︎

Chroma

Alternative

Stores patient context, therapy notes, and clinical guidelines as embeddings; enables persistent memory across sessions without external database.

$0/month

PostgreSQL + pgvector

Alternative

Production-grade vector + relational storage for patient records, session history, and clinical outcomes tracking with HIPAA-compatible encryption.

$50-200/month (managed)

Fly.io

Alternative

Global edge deployment for low-latency patient access; scales from startup to millions of conversations; supports persistent volumes for session state.

$0-100/month

Getting started

  1. 1Set up Claude Sonnet via AWS Bedrock or Anthropic API with system prompt emphasizing empathy, safety, and triage protocols.
  2. 2Integrate Azure Content Safety to scan all patient inputs and flag high-risk messages (self-harm, suicidal ideation) for human escalation.
  3. 3Deploy AgentOps to track conversation flows, token usage, and identify drop-off points in triage.
  4. 4Use Chroma or PostgreSQL+pgvector to store anonymized patient context, therapy session summaries, and clinical guidelines for RAG-enhanced responses.
  5. 5Host on Fly.io with auto-scaling to handle traffic spikes during peak mental health crisis hours.
  6. 6Implement session persistence to resume conversations and maintain therapeutic continuity across days/weeks.
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