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-powered table extraction pipeline that detects tables in images and PDFs, recognizes cell boundaries, infers structure, and outputs clean CSV data for downstream consumption.
Build an AI agent that performs structured legal reasoning — searching precedents, constructing multi-step arguments with evidence chains, generating counter-arguments, and producing balanced legal analysis.
Learn how to build an AI agent for medical image analysis that preprocesses X-rays and scans, detects findings, generates structured reports, and includes appropriate clinical disclaimers for responsible deployment.
Learn how to build an AI agent that recognizes hand-drawn diagrams on whiteboards, classifies shapes and connections, and generates working code including Mermaid diagrams, database schemas, and API stubs.
Build a multi-agent debate system where pro and con agents construct opposing arguments while a judge agent evaluates quality, driving convergence toward more accurate and nuanced answers.
Learn how to build AI agents that perform causal reasoning using causal graphs, interventions, and counterfactual analysis — moving beyond pattern matching to genuine understanding of cause and effect.
Learn how to build reflection agents that evaluate their own outputs, assign quality scores, and iteratively refine results through multi-round self-improvement loops using the Reflexion pattern.
Discover how plan-and-execute agent architectures split high-level reasoning from step-by-step execution, enabling robust replanning on failure and efficient handling of complex multi-step tasks.
