Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Make AI agent chat interfaces accessible to all users with proper ARIA roles, focus management, keyboard navigation, live region announcements, and screen reader compatibility.
Build accessible AI agent chat interfaces with proper ARIA labels, keyboard navigation, screen reader support, visual alternatives, and cognitive accessibility considerations.
Learn how to embed an AI chat widget into your SaaS application with proper backend integration, context injection, permission scoping, and conversation management.
Build multi-layer validation systems using input guardrails, output guardrails, and tool-level guardrails in the OpenAI Agents SDK with composition, priority ordering, and custom tripwire behavior.
Master complex agent routing with conditional handoff logic, multi-step handoff chains, runtime agent creation, and context transformation between agents in the OpenAI Agents SDK.
Go beyond basic RAG with advanced retrieval patterns including query rewriting, hypothetical document embeddings (HyDE), step-back prompting, and iterative multi-step retrieval chains.
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 analytics system for agent marketplace publishers that tracks usage patterns, revenue metrics, user satisfaction, and optimization opportunities. Learn metrics collection, dashboard design, and actionable insights generation.
A comprehensive comparison of four fundamental agent architectures — single agent, pipeline, router, and swarm — with diagrams, code examples, and guidance on when to use each pattern.
