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 an AI agent that analyzes architectural floor plans to detect rooms, classify their types, estimate areas, identify furniture, and generate natural language descriptions for real estate and interior design applications.
Learn how to build a video analysis agent that samples frames intelligently, detects and tracks objects across time, classifies events, and generates structured timelines for surveillance, sports, and content analysis applications.
Build a visual question answering agent that understands images, routes questions to specialized analysis modules, performs multi-modal reasoning, and generates accurate natural language answers about any image content.
Explore how the Vercel AI SDK's generativeUI capability lets AI agents stream fully interactive React components to users, replacing static text responses with dynamic, data-rich interfaces.
Discover how to build AI agents that can write new Python tools at runtime, validate them in a sandbox, register them dynamically, and use them in subsequent reasoning — creating truly self-extending agent systems.
Learn how to build agent systems that route different reasoning tasks to different language models — using fast, cheap models for classification and routing, and powerful models for generation and complex reasoning.
Learn how to build a meta-agent that analyzes execution traces from other agents, diagnoses failures in tool calls and reasoning chains, suggests fixes, and can even apply automated remediation.
Master the architecture of streaming AI agents that deliver token-by-token output while interleaving tool calls, using Server-Sent Events and progressive rendering to create responsive user experiences.
