Step-by-step tutorials on building voice and chat AI agents using OpenAI Agents SDK, Realtime API, function calling, multi-agent orchestration, and production deployment patterns.
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Learn how to build an AI symptom triage agent that assesses urgency, recommends care levels, and routes patients appropriately — with proper liability disclaimers and clinical protocol adherence.
Build an AI agent for medication adherence that handles reminder scheduling, drug interaction checking, refill tracking, and caregiver notifications — with practical Python implementation.
Learn how to build an after-hours AI agent that detects medical urgency, routes emergencies appropriately, schedules callbacks with on-call providers, and documents every interaction for continuity of care.
Build an AI agent that generates structured clinical notes from encounter transcriptions, using SOAP format, template filling, and physician review workflows to improve documentation quality.
Build an AI agent that delivers personalized health education by retrieving condition-specific content, adapting reading levels, supporting multiple languages, and tracking patient comprehension.
Learn how to build an AI agent that handles patient billing questions, explains charges and benefits, sets up payment plans, processes disputes, and integrates with practice management systems.
A comprehensive guide to building HIPAA-compliant AI agents covering encryption, access controls, audit logging, Business Associate Agreements, data retention policies, and breach notification procedures.
Learn how to build an AI agent that transforms natural language requirements into working, tested code. Covers prompt decomposition, language selection, code validation, and automatic test generation.
