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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Build a production-grade real-time dashboard for monitoring AI agents, featuring live metrics pipelines, streaming log aggregation, agent health indicators, and efficient frontend rendering with React.
Design event-driven AI agent systems using pub/sub messaging, event sourcing for full audit trails, and CQRS to separate read and write models for scalable, observable agent architectures.
Implement real-time communication between distributed AI agent instances using Redis Pub/Sub, covering channel design, message serialization, scaling patterns, and understanding delivery guarantees.
Build AI agent communication systems using NATS messaging, covering subject-based routing, queue groups for load balancing, request/reply patterns, and JetStream for persistent message delivery.
Design systems where multiple users interact with shared AI agents simultaneously, covering session sharing, conflict resolution, turn management, and maintaining consistent state across concurrent participants.
Build a notification pipeline for AI agents that delivers push alerts, emails, and SMS messages based on configurable trigger conditions, with deduplication and user preference management.
Learn how to create and enforce latency budgets for real-time AI systems, breaking down time allocation across network, preprocessing, inference, tool execution, and response delivery layers.
Build a real-time AI coding assistant that integrates with code editors, extracts context intelligently, debounces user input, and streams code suggestions and explanations with low latency.
