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 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.
Master the decision framework for when AI agents should reach for external tools versus relying on pure reasoning, with practical heuristics for tool selection, hybrid approaches, and cost-benefit analysis.
Learn how to build an end-to-end document intelligence agent that combines Tesseract OCR, layout detection, zone classification, and structured information extraction to process any document type automatically.
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 a vision AI pipeline that scans receipts and invoices, extracts vendor names, dates, line items, and totals, categorizes expenses, and integrates with accounting systems for fully automated expense processing.
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 an AI agent that compares two versions of a document, identifies additions, deletions, and modifications, generates visual redlines, and produces annotated change summaries for legal, contract, and policy review workflows.
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.
